| Метод | Описание | |
|---|---|---|
| CV_FOURCC ( char c1, char c2, char c3, char c4 ) : int |
Generate 4-character code of codec used to compress the frames. For example, CV_FOURCC('P','I','M','1') is MPEG-1 codec, CV_FOURCC('M','J','P','G') is motion-jpeg codec etc.
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| CV_MAKETYPE ( int depth, int cn ) : int |
This function performs the same as CV_MAKETYPE macro
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| GetModuleFormatString ( ) : String |
Get the module format string.
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| LoadUnmanagedModules ( String loadDirectory ) : bool |
Attemps to load opencv modules from the specific location If loadDirectory is null, the default location on windows is the dll's path appended by either "x64" or "x86", depends on the applications current mode. |
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| cvBoundingRect ( IntPtr points, bool update ) : Rectangle |
Returns the up-right bounding rectangle for 2d point set
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| cvCalcArrHist ( IntPtr image, IntPtr hist, bool accumulate, IntPtr mask ) : void |
Calculates the histogram of one or more single-channel images. The elements of a tuple that is used to increment a histogram bin are taken at the same location from the corresponding input images.
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| cvCalcEigenObjects ( IntPtr input, MCvTermCriteria &calcLimit, IntPtr eigVecs, float eigVals, IntPtr avg ) : void |
Calculates orthonormal eigen basis and the averaged object for a group of the input objects.
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| cvCalcHist ( IntPtr image, IntPtr hist, bool accumulate, IntPtr mask ) : void |
Calculates the histogram of one or more single-channel images. The elements of a tuple that is used to increment a histogram bin are taken at the same location from the corresponding input images.
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| cvContourPerimeter ( IntPtr contour ) : double |
Find the perimeter of the contour
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| cvCreateHist ( int dims, [ sizes, CvEnum type, [ ranges, bool uniform ) : IntPtr |
Creates a histogram of the specified size and returns the pointer to the created histogram. If the array ranges is 0, the histogram bin ranges must be specified later via The function cvSetHistBinRanges, though cvCalcHist and cvCalcBackProject may process 8-bit images without setting bin ranges, they assume equally spaced in 0..255 bins
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| cvCreateSubdivDelaunay2D ( Rectangle rect, IntPtr storage ) : IntPtr |
Creates an empty Delaunay subdivision, where 2d points can be added further using function cvSubdivDelaunay2DInsert. All the points to be added must be within the specified rectangle, otherwise a runtime error will be raised.
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| cvCreateVideoWriter ( String filename, int fourcc, double fps, System frameSize, bool isColor ) : IntPtr |
Creates video writer structure.
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| cvEigenDecomposite ( IntPtr obj, IntPtr eigInput, IntPtr avg ) : float[] |
Calculates all decomposition coefficients for the input object using the previously calculated eigen objects basis and the averaged object
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| cvEigenProjection ( IntPtr inputVecs, float coeffs, IntPtr avg, IntPtr proj ) : void |
Calculates an object projection to the eigen sub-space or, in other words, restores an object using previously calculated eigen objects basis, averaged object, and decomposition coefficients of the restored object.
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| cvFloodFill ( IntPtr src, Point seedPoint, MCvScalar newVal, MCvScalar loDiff, MCvScalar upDiff, MCvConnectedComp &comp, CvEnum connectivity, CvEnum flags, IntPtr mask ) : void |
Fills a connected component with given color.
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| cvNamedWindow ( String name ) : int |
Creates a window which can be used as a placeholder for images and trackbars. Created windows are reffered by their names. If the window with such a name already exists, the function does nothing.
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| cvPointPolygonTest ( IntPtr contour, PointF pt, bool measureDist ) : double |
Determines whether the point is inside contour, outside, or lies on an edge (or coinsides with a vertex). It returns positive, negative or zero value, correspondingly
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| cvSnakeImage ( IntPtr image, IntPtr points, int length, float alpha, float beta, float gamma, int coeffUsage, Size win, MCvTermCriteria criteria, bool calcGradient ) : void |
Updates snake in order to minimize its total energy that is a sum of internal energy that depends on contour shape (the smoother contour is, the smaller internal energy is) and external energy that depends on the energy field and reaches minimum at the local energy extremums that correspond to the image edges in case of image gradient.
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| Метод | Описание | |
|---|---|---|
| ApplyColorMap ( IntPtr src, IntPtr dst, CvEnum colorMapType ) : void | ||
| CvBackgroundSubtractorMOG2Create ( int history, float varThreshold, [ bShadowDetection ) : IntPtr | ||
| CvBackgroundSubtractorMOG2Release ( IntPtr &bgSubstractor ) : void | ||
| CvBackgroundSubtractorMOGCreate ( int history, int nmixtures, double backgroundRatio, double noiseSigma ) : IntPtr | ||
| CvBackgroundSubtractorMOGRelease ( IntPtr &bgSubstractor ) : void | ||
| CvBlobDetectorDetectNewBlob ( IntPtr detector, IntPtr img, IntPtr imgFG, IntPtr newBlobList, IntPtr oldBlobList ) : bool | ||
| CvBlobDetectorRelease ( IntPtr &detector ) : void | ||
| CvBlobSeqAddBlob ( IntPtr blobSeq, MCvBlob &blob ) : void | ||
| CvBlobSeqClear ( IntPtr blobSeq ) : void | ||
| CvBlobSeqCreate ( int blobSize ) : IntPtr | ||
| CvBlobSeqGetBlob ( IntPtr blobSeq, int blobIndex ) : IntPtr | ||
| CvBlobSeqGetBlobByID ( IntPtr blobSeq, int blobId ) : IntPtr | ||
| CvBlobSeqGetBlobNum ( IntPtr blobSeq ) : int | ||
| CvBlobSeqRelease ( IntPtr &blobSeq ) : void | ||
| CvBlobTrackPostProcRelease ( IntPtr &postProc ) : void | ||
| CvBlobTrackerAddBlob ( IntPtr tracker, MCvBlob &blob, IntPtr currentImage, IntPtr currentForegroundMask ) : IntPtr | ||
| CvBlobTrackerDelBlob ( IntPtr tracker, int blobIndex ) : void | ||
| CvBlobTrackerGetBlob ( IntPtr tracker, int blobIndex ) : IntPtr | ||
| CvBlobTrackerGetBlobByID ( IntPtr tracker, int blobId ) : IntPtr | ||
| CvBlobTrackerGetBlobNum ( IntPtr tracker ) : int | ||
| CvBlobTrackerRealease ( IntPtr &tracker ) : void | ||
| CvCascadeClassifierCreate ( [ fileName ) : IntPtr | ||
| CvCascadeClassifierDetectMultiScale ( IntPtr classifier, IntPtr image, IntPtr objects, double scaleFactor, int minNeighbors, int flags, Size minSize, Size maxSize ) : void | ||
| CvCascadeClassifierRelease ( IntPtr &classifier ) : void | ||
| CvCreateBlobDetectorCC ( ) : IntPtr | ||
| CvCreateBlobDetectorSimple ( ) : IntPtr | ||
| CvCreateBlobTrackerCC ( ) : IntPtr | ||
| CvCreateBlobTrackerCCMSPF ( ) : IntPtr | ||
| CvCreateBlobTrackerMS ( ) : IntPtr | ||
| CvCreateBlobTrackerMSFG ( ) : IntPtr | ||
| CvCreateBlobTrackerMSFGS ( ) : IntPtr | ||
| CvCreateBlobTrackerMSPF ( ) : IntPtr | ||
| CvCreateModuleBlobTrackPostProcKalman ( ) : IntPtr | ||
| CvCreateModuleBlobTrackPostProcTimeAverExp ( ) : IntPtr | ||
| CvCreateModuleBlobTrackPostProcTimeAverRect ( ) : IntPtr | ||
| CvDenseFeatureDetectorCreate ( float initFeatureScale, int featureScaleLevels, float featureScaleMul, int initXyStep, int initImgBound, [ varyXyStepWithScale, [ varyImgBoundWithScale ) : IntPtr | ||
| CvDenseFeatureDetectorRelease ( IntPtr &detector ) : void | ||
| CvEigenFaceRecognizerCreate ( int numComponents, double threshold ) : IntPtr | ||
| CvFASTFeatureDetectorRelease ( IntPtr &detector ) : void | ||
| CvFASTGetFeatureDetector ( int threshold, [ nonmax_supression ) : IntPtr | ||
| CvFaceRecognizerLoad ( IntPtr recognizer, [ fileName ) : void | ||
| CvFaceRecognizerPredict ( IntPtr recognizer, IntPtr image, int &label, double &distance ) : void | ||
| CvFaceRecognizerRelease ( IntPtr &recognizer ) : void | ||
| CvFaceRecognizerSave ( IntPtr recognizer, [ fileName ) : void | ||
| CvFaceRecognizerTrain ( IntPtr recognizer, IntPtr images, IntPtr labels, int count ) : void | ||
| CvFeatureDetectorDetectKeyPoints ( IntPtr detector, IntPtr image, IntPtr mask, IntPtr keypoints ) : void | ||
| CvFisherFaceRecognizerCreate ( int numComponents, double threshold ) : IntPtr | ||
| CvFlannIndexCreateAutotuned ( IntPtr features, float targetPrecision, float buildWeight, float memoryWeight, float sampleFraction ) : IntPtr | ||
| CvFlannIndexCreateComposite ( IntPtr features, int numberOfKDTrees, int branching, int iterations, Flann centersInitType, float cbIndex ) : IntPtr | ||
| CvFlannIndexCreateKDTree ( IntPtr features, int numberOfKDTrees ) : IntPtr | ||
| CvFlannIndexCreateKMeans ( IntPtr features, int branching, int iterations, Flann centersInitType, float cbIndex ) : IntPtr | ||
| CvFlannIndexCreateLinear ( IntPtr features ) : IntPtr | ||
| CvFlannIndexKnnSearch ( IntPtr index, IntPtr queries, IntPtr indices, IntPtr dists, int knn, int checks ) : void | ||
| CvFlannIndexRadiusSearch ( IntPtr index, IntPtr queries, IntPtr indices, IntPtr dists, float radius, int checks ) : int | ||
| CvFlannIndexRelease ( IntPtr index ) : void | ||
| CvGFTTDetectorCreate ( int maxCorners, double qualityLevel, double minDistance, int blockSize, bool useHarrisDetector, double k ) : IntPtr | ||
| CvGFTTDetectorRelease ( IntPtr &detector ) : void | ||
| CvGrabCut ( IntPtr img, IntPtr mask, Rectangle &rect, IntPtr bgdModel, IntPtr fgdModel, int iterCount, CvEnum type ) : void | ||
| CvHOGDescriptorCompute ( IntPtr descriptor, IntPtr img, IntPtr descriptors, Size winStride, Size padding, IntPtr locations ) : void | ||
| CvHOGDescriptorCreate ( Size &winSize, Size &blockSize, Size &blockStride, Size &cellSize, int nbins, int derivAperture, double winSigma, int histogramNormType, double L2HysThreshold, [ gammaCorrection ) : IntPtr | ||
| CvHOGDescriptorCreateDefault ( ) : IntPtr | ||
| CvHOGDescriptorDetectMultiScale ( IntPtr descriptor, IntPtr img, IntPtr foundLocations, double hitThreshold, Size winStride, Size padding, double scale, double finalThreshold, [ useMeanshiftGrouping ) : void | ||
| CvHOGDescriptorGetDescriptorSize ( IntPtr descriptor ) : uint | ||
| CvHOGDescriptorPeopleDetectorCreate ( IntPtr seq ) : void | ||
| CvHOGDescriptorRelease ( IntPtr descriptor ) : void | ||
| CvHOGSetSVMDetector ( IntPtr descriptor, IntPtr svmDetector ) : void | ||
| CvInvoke ( ) : System |
Static Constructor to setup opencv environment
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| CvLBPHFaceRecognizerCreate ( int radius, int neighbors, int gridX, int gridY, double threshold ) : IntPtr | ||
| CvLDetectorDetectKeyPoints ( Features2D &detector, IntPtr image, IntPtr keypoints, int maxCount, [ scaleCoords ) : void | ||
| CvMserFeatureDetectorRelease ( IntPtr &detector ) : void | ||
| CvMserGetFeatureDetector ( MCvMSERParams &detector ) : IntPtr | ||
| CvOctreeBuildTree ( IntPtr tree, IntPtr points, int numberOfPoints, int maxLevels, int minPoints ) : void | ||
| CvOctreeCreate ( ) : IntPtr | ||
| CvOctreeGetPointsWithinSphere ( IntPtr tree, MCvPoint3D32f ¢er, float radius, IntPtr pointSeq ) : void | ||
| CvOctreeRelease ( IntPtr tree ) : void | ||
| CvPatchGeneratorInit ( Features2D &pg ) : void | ||
| CvPlanarObjectDetectorDefaultCreate ( ) : IntPtr | ||
| CvPlanarObjectDetectorDetect ( IntPtr detector, IntPtr image, IntPtr homography, IntPtr corners ) : void | ||
| CvPlanarObjectDetectorGetModelPoints ( IntPtr detector, IntPtr modelPoints ) : void | ||
| CvPlanarObjectDetectorRelease ( IntPtr detector ) : void | ||
| CvPlanarObjectDetectorTrain ( IntPtr objectDetector, IntPtr image, int npoints, int patchSize, int nstructs, int structSize, int nviews, LDetector &keyPointDetector, PatchGenerator &patchGenerator ) : void | ||
| CvRetinaClearBuffers ( IntPtr retina ) : void | ||
| CvRetinaCreate ( Size inputSize, [ colorMode, Retina colorSamplingMethod, [ useRetinaLogSampling, double reductionFactor, double samplingStrength ) : IntPtr | ||
| CvRetinaGetMagno ( IntPtr retina, IntPtr magno ) : void | ||
| CvRetinaGetParameters ( IntPtr retina, Retina ¶meters ) : void | ||
| CvRetinaGetParvo ( IntPtr retina, IntPtr parvo ) : void | ||
| CvRetinaRelease ( IntPtr &retina ) : void | ||
| CvRetinaRun ( IntPtr retina, IntPtr image ) : void | ||
| CvRetinaSetParameters ( IntPtr retina, Retina ¶meters ) : void | ||
| CvSelfSimDescriptorCompute ( IntPtr descriptor, IntPtr image, IntPtr descriptors, Size &winStride, IntPtr locations, int sizeOfLocation ) : void | ||
| CvSelfSimDescriptorCreate ( int smallSize, int largeSize, int startDistanceBucket, int numberOfDistanceBuckets, int numberOfAngles ) : IntPtr | ||
| CvSelfSimDescriptorGetDescriptorSize ( IntPtr descriptor ) : int | ||
| CvSelfSimDescriptorRelease ( IntPtr descriptor ) : void | ||
| CvStarDetectorCreate ( int maxSize, int responseThreshold, int lineThresholdProjected, int lineThresholdBinarized, int suppressNonmaxSize ) : IntPtr | ||
| CvStarDetectorRelease ( IntPtr &detector ) : void | ||
| CvStereoSGBMCreate ( int minDisparity, int numDisparities, int SADWindowSize, int P1, int P2, int disp12MaxDiff, int preFilterCap, int uniquenessRatio, int speckleWindowSize, int speckleRange, [ fullDP ) : IntPtr | ||
| CvStereoSGBMFindCorrespondence ( IntPtr disparitySolver, IntPtr left, IntPtr right, IntPtr disparity ) : void | ||
| CvStereoSGBMRelease ( IntPtr obj ) : void | ||
| DataLoggerCreate ( int logLevel, int loggerId ) : IntPtr | ||
| DataLoggerLog ( IntPtr logger, IntPtr data, int logLevel ) : void | ||
| DataLoggerRegisterCallback ( IntPtr logger, Util messageCallback ) : void | ||
| DataLoggerRelease ( IntPtr &logger ) : void | ||
| GridAdaptedFeatureDetectorCreate ( IntPtr detector, int maxTotalKeypoints, int gridRows, int gridCols ) : IntPtr | ||
| GridAdaptedFeatureDetectorRelease ( IntPtr &detector ) : void | ||
| OpenniGetColorPoints ( IntPtr capture, IntPtr points, IntPtr mask ) : void | ||
| VectorOfByteClear ( IntPtr v ) : void | ||
| VectorOfByteCopyData ( IntPtr v, IntPtr data ) : void | ||
| VectorOfByteCreate ( ) : IntPtr | ||
| VectorOfByteCreateSize ( int size ) : IntPtr | ||
| VectorOfByteGetSize ( IntPtr v ) : int | ||
| VectorOfByteGetStartAddress ( IntPtr v ) : IntPtr | ||
| VectorOfBytePushMulti ( IntPtr v, IntPtr values, int count ) : void | ||
| VectorOfByteRelease ( IntPtr v ) : void | ||
| VectorOfDMatchClear ( IntPtr v ) : void | ||
| VectorOfDMatchCopyData ( IntPtr v, IntPtr data ) : void | ||
| VectorOfDMatchCreate ( ) : IntPtr | ||
| VectorOfDMatchCreateSize ( int size ) : IntPtr | ||
| VectorOfDMatchGetSize ( IntPtr v ) : int | ||
| VectorOfDMatchGetStartAddress ( IntPtr v ) : IntPtr | ||
| VectorOfDMatchPushMulti ( IntPtr v, IntPtr values, int count ) : void | ||
| VectorOfDMatchRelease ( IntPtr v ) : void | ||
| VectorOfDataMatrixCodeClear ( IntPtr v ) : void | ||
| VectorOfDataMatrixCodeCreate ( ) : IntPtr | ||
| VectorOfDataMatrixCodeCreateSize ( int size ) : IntPtr | ||
| VectorOfDataMatrixCodeDraw ( IntPtr v, IntPtr image ) : void | ||
| VectorOfDataMatrixCodeFind ( IntPtr v, IntPtr image ) : void | ||
| VectorOfDataMatrixCodeGetItem ( IntPtr v, int index ) : IntPtr | ||
| VectorOfDataMatrixCodeGetSize ( IntPtr v ) : int | ||
| VectorOfDataMatrixCodeGetStartAddress ( IntPtr v ) : IntPtr | ||
| VectorOfDataMatrixCodeRelease ( IntPtr v ) : void | ||
| VectorOfFloatClear ( IntPtr v ) : void | ||
| VectorOfFloatCopyData ( IntPtr v, IntPtr data ) : void | ||
| VectorOfFloatCreate ( ) : IntPtr | ||
| VectorOfFloatCreateSize ( int size ) : IntPtr | ||
| VectorOfFloatGetSize ( IntPtr v ) : int | ||
| VectorOfFloatGetStartAddress ( IntPtr v ) : IntPtr | ||
| VectorOfFloatPushMulti ( IntPtr v, IntPtr values, int count ) : void | ||
| VectorOfFloatRelease ( IntPtr v ) : void | ||
| VectorOfKeyPointClear ( IntPtr v ) : void | ||
| VectorOfKeyPointCopyData ( IntPtr v, IntPtr data ) : void | ||
| VectorOfKeyPointCreate ( ) : IntPtr | ||
| VectorOfKeyPointCreateSize ( int size ) : IntPtr | ||
| VectorOfKeyPointFilterByImageBorder ( IntPtr keypoints, Size imageSize, int borderSize ) : void | ||
| VectorOfKeyPointFilterByKeypointSize ( IntPtr keypoints, float minSize, float maxSize ) : void | ||
| VectorOfKeyPointFilterByPixelsMask ( IntPtr keypoints, IntPtr mask ) : void | ||
| VectorOfKeyPointGetItem ( IntPtr keypoints, int index, MKeyPoint &keypoint ) : void | ||
| VectorOfKeyPointGetSize ( IntPtr v ) : int | ||
| VectorOfKeyPointGetStartAddress ( IntPtr v ) : IntPtr | ||
| VectorOfKeyPointPushMulti ( IntPtr v, IntPtr values, int count ) : void | ||
| VectorOfKeyPointRelease ( IntPtr v ) : void | ||
| _cvNamedWindow ( [ name, int flags ) : int | ||
| cv2DRotationMatrix ( PointF center, double angle, double scale, IntPtr mapMatrix ) : IntPtr | ||
| cvAcc ( IntPtr image, IntPtr sum, IntPtr mask ) : void | ||
| cvAdaptiveThreshold ( IntPtr src, IntPtr dst, double maxValue, CvEnum adaptiveType, CvEnum thresholdType, int blockSize, double param1 ) : void | ||
| cvApproxPoly ( IntPtr srcSeq, int headerSize, IntPtr storage, CvEnum method, double parameter, int parameter2 ) : IntPtr | ||
| cvArcLength ( IntPtr curve, MCvSlice slice, int isClosed ) : double | ||
| cvBGCodeBookClearStale ( IntPtr model, int staleThresh, Rectangle roi, IntPtr mask ) : void | ||
| cvBGCodeBookClearStale ( MCvBGCodeBookModel &model, int staleThresh, Rectangle roi, IntPtr mask ) : void | ||
| cvBGCodeBookDiff ( IntPtr model, IntPtr image, IntPtr fgmask, Rectangle roi ) : int | ||
| cvBGCodeBookDiff ( MCvBGCodeBookModel &model, IntPtr image, IntPtr fgmask, Rectangle roi ) : int | ||
| cvBGCodeBookUpdate ( IntPtr model, IntPtr image, Rectangle roi, IntPtr mask ) : void | ||
| cvBGCodeBookUpdate ( MCvBGCodeBookModel &model, IntPtr image, Rectangle roi, IntPtr mask ) : void | ||
| cvBoundingRect ( IntPtr points, int update ) : Rectangle | ||
| cvBoxPoints ( MCvBox2D box, [ pt ) : void | ||
| cvCalcArrBackProject ( IntPtr image, IntPtr backProject, IntPtr hist ) : void | ||
| cvCalcArrHist ( IntPtr image, IntPtr hist, int accumulate, IntPtr mask ) : void | ||
| cvCalcBackProject ( IntPtr image, IntPtr backProject, IntPtr hist ) : void | ||
| cvCalcBackProjectPatch ( IntPtr images, IntPtr dst, Size patchSize, IntPtr hist, CvEnum method, double factor ) : void | ||
| cvCalcEMD2 ( IntPtr signature1, IntPtr signature2, CvEnum distType, CvDistanceFunction distFunc, IntPtr costMatrix, IntPtr flow, IntPtr lowerBound, IntPtr userParam ) : float | ||
| cvCalcEigenObjects ( int nObjects, IntPtr input, IntPtr output, CvEnum ioFlags, int ioBufSize, IntPtr userData, MCvTermCriteria &calcLimit, IntPtr avg, float eigVals ) : void | ||
| cvCalcGlobalOrientation ( IntPtr orientation, IntPtr mask, IntPtr mhi, double timestamp, double duration ) : double | ||
| cvCalcMotionGradient ( IntPtr mhi, IntPtr mask, IntPtr orientation, double delta1, double delta2, int apertureSize ) : void | ||
| cvCalcOpticalFlowBM ( IntPtr prev, IntPtr curr, Size blockSize, Size shiftSize, Size maxRange, bool usePrevious, IntPtr velx, IntPtr vely ) : void | ||
| cvCalcOpticalFlowFarneback ( IntPtr prev0, IntPtr next0, IntPtr flow0, double pyrScale, int levels, int winSize, int iterations, int polyN, double polySigma, CvEnum flags ) : void | ||
| cvCalcOpticalFlowHS ( IntPtr prev, IntPtr curr, bool usePrevious, IntPtr velx, IntPtr vely, double lambda, MCvTermCriteria criteria ) : void | ||
| cvCalcOpticalFlowLK ( IntPtr prev, IntPtr curr, Size winSize, IntPtr velx, IntPtr vely ) : void | ||
| cvCalcOpticalFlowPyrLK ( IntPtr prev, IntPtr curr, IntPtr prevPyr, IntPtr currPyr, [ prevFeatures, [ currFeatures, int count, Size winSize, int level, Byte status, float trackError, MCvTermCriteria criteria, CvEnum flags ) : void | ||
| cvCalcOpticalFlowPyrLK ( IntPtr prev, IntPtr curr, IntPtr prevPyr, IntPtr currPyr, float prevFeatures, float currFeatures, int count, Size winSize, int level, Byte status, float trackError, MCvTermCriteria criteria, CvEnum flags ) : void | ||
| cvCalcPGH ( IntPtr contour, IntPtr hist ) : void | ||
| cvCalcProbDensity ( IntPtr hist1, IntPtr hist2, IntPtr dstHist, double scale ) : void | ||
| cvCalcSubdivVoronoi2D ( IntPtr subdiv ) : void | ||
| cvCalibrateCamera2 ( IntPtr objectPoints, IntPtr imagePoints, IntPtr pointCounts, Size imageSize, IntPtr intrinsicMatrix, IntPtr distortionCoeffs, IntPtr rotationVectors, IntPtr translationVectors, CvEnum flags ) : double | ||
| cvCalibrationMatrixValues ( IntPtr calibMatr, int imgWidth, int imgHeight, double apertureWidth, double apertureHeight, double &fovx, double &fovy, double &focalLength, MCvPoint2D64f &principalPoint, double &pixelAspectRatio ) : void | ||
| cvCamShift ( IntPtr probImage, Rectangle window, MCvTermCriteria criteria, MCvConnectedComp &comp, MCvBox2D &box ) : int | ||
| cvCanny ( IntPtr image, IntPtr edges, double threshold1, double threshold2, int apertureSize ) : void | ||
| cvCheckContourConvexity ( IntPtr contour ) : int | ||
| cvCheckRange ( IntPtr arr, [ quiet, Point &pos, double minVal, double maxVal ) : bool | ||
| cvClearHist ( IntPtr hist ) : void | ||
| cvCompareHist ( IntPtr hist1, IntPtr hist2, CvEnum method ) : double | ||
| cvComputeCorrespondEpilines ( IntPtr points, int whichImage, IntPtr fundamentalMatrix, IntPtr correspondentLines ) : void | ||
| cvConDensInitSampleSet ( IntPtr condens, IntPtr lowerBound, IntPtr upperBound ) : void | ||
| cvConDensUpdateByTime ( IntPtr condens ) : void | ||
| cvContourArea ( IntPtr contour, MCvSlice slice, int oriented ) : double | ||
| cvContourFromContourTree ( IntPtr tree, IntPtr storage, MCvTermCriteria criteria ) : IntPtr | ||
| cvConvertPointsHomogeneous ( IntPtr src, IntPtr dst ) : void | ||
| cvConvexHull2 ( IntPtr input, IntPtr hullStorage, CvEnum orientation, int returnPoints ) : IntPtr | ||
| cvConvexityDefects ( IntPtr contour, IntPtr convexhull, IntPtr storage ) : IntPtr | ||
| cvCopyHist ( IntPtr src, IntPtr &dst ) : void | ||
| cvCopyMakeBorder ( IntPtr src, IntPtr dst, Point offset, CvEnum bordertype, MCvScalar value ) : void | ||
| cvCornerHarris ( IntPtr image, IntPtr harrisResponce, int blockSize, int apertureSize, double k ) : void | ||
| cvCreateBGCodeBookModel ( ) : IntPtr | ||
| cvCreateCameraCapture ( int index ) : IntPtr | ||
| cvCreateConDensation ( int dynamParams, int measureParams, int sampleCount ) : IntPtr | ||
| cvCreateContourTree ( IntPtr contour, IntPtr storage, double threshold ) : IntPtr | ||
| cvCreateFGDStatModel ( IntPtr image, IntPtr param ) : IntPtr | ||
| cvCreateFGDStatModel ( IntPtr firstFrame, MCvFGDStatModelParams ¶meters ) : IntPtr | ||
| cvCreateFileCapture ( [ filename ) : IntPtr | ||
| cvCreateGaussianBGModel ( IntPtr image, IntPtr param ) : IntPtr | ||
| cvCreateGaussianBGModel ( IntPtr image, MCvGaussBGStatModelParams ¶meters ) : IntPtr | ||
| cvCreateHist ( int dims, [ sizes, CvEnum type, [ ranges, int uniform ) : IntPtr | ||
| cvCreateKDTree ( IntPtr desc ) : IntPtr | ||
| cvCreateKalman ( int dynamParams, int measureParams, int controlParams ) : IntPtr | ||
| cvCreatePOSITObject ( float points3D, int pointCount ) : IntPtr | ||
| cvCreateSpillTree ( IntPtr desc, int naive, double rho, double tau ) : IntPtr | ||
| cvCreateStereoBMState ( CvEnum type, int numberOfDisparities ) : IntPtr | ||
| cvCreateStereoGCState ( int numberOfDisparities, int maxIters ) : IntPtr | ||
| cvCreateStructuringElementEx ( int cols, int rows, int anchorX, int anchorY, CvEnum shape, IntPtr values ) : IntPtr | ||
| cvCreateSubdiv2D ( int subdivType, int headerSize, int vtxSize, int quadedgeSize, IntPtr storage ) : IntPtr | ||
| cvCreateVideoWriter ( [ filename, int fourcc, double fps, System frameSize, int isColor ) : IntPtr | ||
| cvCvtColor ( IntPtr src, IntPtr dst, CvEnum code ) : void | ||
| cvDestroyWindow ( [ name ) : void | ||
| cvDilate ( IntPtr src, IntPtr dst, IntPtr element, int iterations ) : void | ||
| cvDistTransform ( IntPtr src, IntPtr dst, CvEnum distanceType, int maskSize, float userMask, IntPtr labels ) : void | ||
| cvDrawChessboardCorners ( IntPtr image, Size patternSize, IntPtr corners, int count, int patternWasFound ) : void | ||
| cvDrawChessboardCorners ( IntPtr image, Size patternSize, [ corners, int count, int patternWasFound ) : void | ||
| cvEigenDecomposite ( IntPtr obj, int eigenvecCount, IntPtr eigInput, CvEnum ioFlags, IntPtr userData, IntPtr avg, float coeffs ) : void | ||
| cvEigenProjection ( IntPtr inputVecs, int eigenvecCount, CvEnum ioFlags, IntPtr userdata, float coeffs, IntPtr avg, IntPtr proj ) : void | ||
| cvEndFindContours ( IntPtr &scanner ) : IntPtr | ||
| cvEqualizeHist ( IntPtr src, IntPtr dst ) : void | ||
| cvErode ( IntPtr src, IntPtr dst, IntPtr element, int iterations ) : void | ||
| cvEstimateRigidTransform ( IntPtr A, IntPtr B, IntPtr M, [ fullAffine ) : bool | ||
| cvExtractSURF ( IntPtr image, IntPtr mask, IntPtr &keypoints, IntPtr &descriptors, IntPtr storage, MCvSURFParams parameters, int useProvidedKeyPoints ) : void | ||
| cvFilter2D ( IntPtr src, IntPtr dst, IntPtr kernel, Point anchor ) : void | ||
| cvFindChessboardCorners ( IntPtr image, Size patternSize, IntPtr corners, int &cornerCount, CvEnum flags ) : int | ||
| cvFindContours ( IntPtr image, IntPtr storage, IntPtr &firstContour, int headerSize, CvEnum mode, CvEnum method, Point offset ) : int | ||
| cvFindCornerSubPix ( IntPtr image, IntPtr corners, int count, Size win, Size zeroZone, MCvTermCriteria criteria ) : void | ||
| cvFindCornerSubPix ( IntPtr image, [ corners, int count, Size win, Size zeroZone, MCvTermCriteria criteria ) : void | ||
| cvFindExtrinsicCameraParams2 ( IntPtr objectPoints, IntPtr imagePoints, IntPtr intrinsicMatrix, IntPtr distortionCoeffs, IntPtr rotationVector, IntPtr translationVector, int useExtrinsicGuess ) : void | ||
| cvFindFeatures ( IntPtr tr, IntPtr desc, IntPtr results, IntPtr dist, int k, int emax ) : void | ||
| cvFindFeaturesBoxed ( IntPtr tr, IntPtr boundsMin, IntPtr boundsMax, IntPtr results ) : void | ||
| cvFindFundamentalMat ( IntPtr points1, IntPtr points2, IntPtr fundamentalMatrix, CvEnum method, double param1, double param2, IntPtr status ) : int | ||
| cvFindHomography ( IntPtr srcPoints, IntPtr dstPoints, IntPtr homography, CvEnum method, double ransacReprojThreshold, IntPtr mask ) : bool | ||
| cvFindNearestPoint2D ( IntPtr subdiv, PointF pt ) : IntPtr | ||
| cvFindNextContour ( IntPtr scanner ) : IntPtr | ||
| cvFindStereoCorrespondence ( IntPtr leftImage, IntPtr rightImage, int mode, IntPtr depthImage, int maxDisparity, double param1, double param2, double param3, double param4, double param5 ) : void | ||
| cvFindStereoCorrespondenceBM ( IntPtr left, IntPtr right, IntPtr disparity, IntPtr state ) : void | ||
| cvFindStereoCorrespondenceBM ( IntPtr left, IntPtr right, IntPtr disparity, MCvStereoBMState &state ) : void | ||
| cvFindStereoCorrespondenceGC ( IntPtr left, IntPtr right, IntPtr dispLeft, IntPtr dispRight, IntPtr state, int useDisparityGuess ) : void | ||
| cvFindStereoCorrespondenceGC ( IntPtr left, IntPtr right, IntPtr dispLeft, IntPtr dispRight, MCvStereoGCState &state, int useDisparityGuess ) : void | ||
| cvFitEllipse2 ( IntPtr points ) : MCvBox2D | ||
| cvFitLine ( IntPtr points, CvEnum distType, double param, double reps, double aeps, [ line ) : void | ||
| cvFloodFill ( IntPtr src, Point seedPoint, MCvScalar newVal, MCvScalar loDiff, MCvScalar upDiff, MCvConnectedComp &comp, int flags, IntPtr mask ) : void | ||
| cvGetAffineTransform ( IntPtr src, IntPtr dst, IntPtr mapMatrix ) : IntPtr | ||
| cvGetAffineTransform ( PointF src, PointF dst, IntPtr mapMatrix ) : IntPtr | ||
| cvGetCaptureDomain ( IntPtr capture ) : int | ||
| cvGetCaptureProperty ( IntPtr capture, CvEnum prop ) : double | ||
| cvGetCentralMoment ( MCvMoments &moments, int xOrder, int yOrder ) : double | ||
| cvGetHuMoments ( MCvMoments &moments, MCvHuMoments &huMoments ) : void | ||
| cvGetMinMaxHistValue ( IntPtr hist, float &minValue, float &maxValue, int minIdx, int maxIdx ) : void | ||
| cvGetNormalizedCentralMoment ( MCvMoments &moments, int xOrder, int yOrder ) : double | ||
| cvGetOpenniCaptureContext ( IntPtr capture ) : IntPtr | ||
| cvGetPerspectiveTransform ( IntPtr src, IntPtr dst, IntPtr mapMatrix ) : IntPtr | ||
| cvGetPerspectiveTransform ( PointF src, PointF dst, IntPtr mapMatrix ) : IntPtr | ||
| cvGetQuadrangleSubPix ( IntPtr src, IntPtr dst, IntPtr mapMatrix ) : void | ||
| cvGetRectSubPix ( IntPtr src, IntPtr dst, PointF center ) : void | ||
| cvGetSpatialMoment ( MCvMoments &moments, int xOrder, int yOrder ) : double | ||
| cvGetStarKeypoints ( IntPtr img, IntPtr storage, MCvStarDetectorParams param ) : IntPtr | ||
| cvGoodFeaturesToTrack ( IntPtr image, IntPtr eigImage, IntPtr tempImage, IntPtr corners, int &cornerCount, double qualityLevel, double minDistance, IntPtr mask, int blockSize, int useHarris, double k ) : void | ||
| cvGrabFrame ( IntPtr capture ) : bool | ||
| cvHaarDetectObjects ( IntPtr image, IntPtr cascade, IntPtr storage, double scaleFactor, int minNeighbors, CvEnum flags, Size minSize, Size maxSize ) : IntPtr | ||
| cvHoughCircles ( IntPtr image, IntPtr circleStorage, CvEnum method, double dp, double minDist, double param1, double param2, int minRadius, int maxRadius ) : IntPtr | ||
| cvHoughLines2 ( IntPtr image, IntPtr lineStorage, CvEnum method, double rho, double theta, int threshold, double param1, double param2 ) : IntPtr | ||
| cvInitSubdivDelaunay2D ( IntPtr subdiv, Rectangle rect ) : void | ||
| cvInitUndistortMap ( IntPtr intrinsicMatrix, IntPtr distortionCoeffs, IntPtr mapx, IntPtr mapy ) : void | ||
| cvInitUndistortRectifyMap ( IntPtr cameraMatrix, IntPtr distCoeffs, IntPtr R, IntPtr newCameraMatrix, IntPtr mapx, IntPtr mapy ) : void | ||
| cvInpaint ( IntPtr src, IntPtr mask, IntPtr dst, double inpaintRadius, CvEnum flags ) : void | ||
| cvIntegral ( IntPtr image, IntPtr sum, IntPtr sqsum, IntPtr tiltedSum ) : void | ||
| cvKalmanCorrect ( IntPtr kalman, IntPtr measurement ) : IntPtr | ||
| cvKalmanCorrect ( MCvKalman &kalman, IntPtr measurement ) : IntPtr | ||
| cvKalmanPredict ( IntPtr kalman, IntPtr control ) : IntPtr | ||
| cvKalmanPredict ( MCvKalman &kalman, IntPtr control ) : IntPtr | ||
| cvLaplace ( IntPtr src, IntPtr dst, int apertureSize ) : void | ||
| cvLatentSvmDetectObjects ( IntPtr image, IntPtr detector, IntPtr storage, float overlapThreshold, int numThreads ) : IntPtr | ||
| cvLinearPolar ( IntPtr src, IntPtr dst, PointF center, double maxRadius, int flags ) : void | ||
| cvLoadImage ( [ filename, CvEnum loadType ) : IntPtr | ||
| cvLoadLatentSvmDetector ( [ filename ) : IntPtr | ||
| cvLogPolar ( IntPtr src, IntPtr dst, PointF center, double M, int flags ) : void | ||
| cvMakeHistHeaderForArray ( int dims, [ sizes, IntPtr hist, IntPtr data, [ ranges, int uniform ) : IntPtr | ||
| cvMatCopyToCvArr ( IntPtr mat, IntPtr cvArray ) : void | ||
| cvMatCreate ( ) : IntPtr | ||
| cvMatGetSize ( IntPtr mat ) : Size | ||
| cvMatRelease ( IntPtr &mat ) : void | ||
| cvMatchContourTrees ( IntPtr tree1, IntPtr tree2, CvEnum method, double threshold ) : double | ||
| cvMatchShapes ( IntPtr object1, IntPtr object2, CvEnum method, double parameter ) : double | ||
| cvMatchTemplate ( IntPtr image, IntPtr templ, IntPtr result, CvEnum method ) : void | ||
| cvMaxRect ( Rectangle &rect1, Rectangle &rect2 ) : Rectangle | ||
| cvMeanShift ( IntPtr probImage, Rectangle window, MCvTermCriteria criteria, MCvConnectedComp &comp ) : int | ||
| cvMinAreaRect2 ( IntPtr points, IntPtr storage ) : MCvBox2D | ||
| cvMinEnclosingCircle ( IntPtr points, PointF ¢er, float &radius ) : bool | ||
| cvMoments ( IntPtr arr, MCvMoments &moments, int binary ) : void | ||
| cvMorphologyEx ( IntPtr src, IntPtr dst, IntPtr temp, IntPtr element, CvEnum operation, int iterations ) : void | ||
| cvMultiplyAcc ( IntPtr image1, IntPtr image2, IntPtr acc, IntPtr mask ) : void | ||
| cvNormalizeHist ( IntPtr hist, double factor ) : void | ||
| cvPOSIT ( IntPtr positObject, IntPtr imagePoints, double focalLength, MCvTermCriteria criteria, IntPtr rotationMatrix, IntPtr translationVector ) : void | ||
| cvPOSIT ( IntPtr positObject, float imagePoints, double focalLength, MCvTermCriteria criteria, float rotationMatrix, float translationVector ) : void | ||
| cvPointPolygonTest ( IntPtr contour, PointF pt, int measureDist ) : double | ||
| cvProjectPoints2 ( IntPtr objectPoints, IntPtr rotationVector, IntPtr translationVector, IntPtr intrinsicMatrix, IntPtr distortionCoeffs, IntPtr imagePoints, IntPtr dpdrot, IntPtr dpdt, IntPtr dpdf, IntPtr dpdc, IntPtr dpddist, double aspectRatio ) : void | ||
| cvPyrDown ( IntPtr src, IntPtr dst, CvEnum filter ) : void | ||
| cvPyrMeanShiftFiltering ( IntPtr src, IntPtr dst, double sp, double sr, int max_level, MCvTermCriteria termcrit ) : void | ||
| cvPyrSegmentation ( IntPtr src, IntPtr dst, IntPtr storage, IntPtr &comp, int level, double threshold1, double threshold2 ) : void | ||
| cvPyrUp ( IntPtr src, IntPtr dst, CvEnum filter ) : void | ||
| cvQueryFrame ( IntPtr capture ) : IntPtr | ||
| cvReleaseBGCodeBookModel ( IntPtr &model ) : void | ||
| cvReleaseBGStatModel ( IntPtr &bgModel ) : void | ||
| cvReleaseCapture ( IntPtr &capture ) : void | ||
| cvReleaseConDensation ( IntPtr &condens ) : void | ||
| cvReleaseFeatureTree ( IntPtr tr ) : void | ||
| cvReleaseHaarClassifierCascade ( IntPtr &cascade ) : void | ||
| cvReleaseHist ( IntPtr &hist ) : void | ||
| cvReleaseKalman ( IntPtr &kalman ) : void | ||
| cvReleaseLatentSvmDetector ( IntPtr &detector ) : void | ||
| cvReleasePOSITObject ( IntPtr &positObject ) : void | ||
| cvReleaseStereoBMState ( IntPtr &state ) : void | ||
| cvReleaseStereoGCState ( IntPtr &state ) : void | ||
| cvReleaseStructuringElement ( IntPtr &ppElement ) : void | ||
| cvReleaseVideoWriter ( IntPtr &writer ) : void | ||
| cvRemap ( IntPtr src, IntPtr dst, IntPtr mapx, IntPtr mapy, int flags, MCvScalar fillval ) : void | ||
| cvReprojectImageTo3D ( IntPtr disparity, IntPtr image3D, IntPtr Q ) : void | ||
| cvResize ( IntPtr src, IntPtr dst, CvEnum interpolation ) : void | ||
| cvRetrieveFrame ( IntPtr capture, int streamIdx ) : IntPtr | ||
| cvRodrigues2 ( IntPtr src, IntPtr dst, IntPtr jacobian ) : bool | ||
| cvRunningAvg ( IntPtr image, IntPtr acc, double alpha, IntPtr mask ) : void | ||
| cvSURFParams ( double hessianThreshold, int extended ) : SURFDetector | ||
| cvSampleLine ( IntPtr image, Point pt1, Point pt2, IntPtr buffer, CvEnum connectivity ) : int | ||
| cvSaveImage ( [ filename, IntPtr image, IntPtr parameters ) : bool | ||
| cvSegmentMotion ( IntPtr mhi, IntPtr segMask, IntPtr storage, double timestamp, double segThresh ) : IntPtr | ||
| cvSetCaptureProperty ( IntPtr capture, CvEnum propertyId, double value ) : void | ||
| cvShowImage ( [ name, IntPtr image ) : void | ||
| cvSmooth ( IntPtr src, IntPtr dst, CvEnum type, int param1, int param2, double param3, double param4 ) : void | ||
| cvSnakeImage ( IntPtr image, IntPtr points, int length, [ alpha, [ beta, [ gamma, int coeffUsage, Size win, MCvTermCriteria criteria, int calcGradient ) : void | ||
| cvSnakeImage ( IntPtr image, [ points, int length, [ alpha, [ beta, [ gamma, int coeffUsage, Size win, MCvTermCriteria criteria, int calcGradient ) : void | ||
| cvSobel ( IntPtr src, IntPtr dst, int xorder, int yorder, int apertureSize ) : void | ||
| cvSqrt ( IntPtr src, IntPtr dst ) : void | ||
| cvSquareAcc ( IntPtr image, IntPtr sqsum, IntPtr mask ) : void | ||
| cvStartFindContours ( IntPtr image, IntPtr storage, int headerSize, CvEnum mode, CvEnum method, Point offset ) : IntPtr | ||
| cvStereoCalibrate ( IntPtr objectPoints, IntPtr imagePoints1, IntPtr imagePoints2, IntPtr pointCounts, IntPtr cameraMatrix1, IntPtr distCoeffs1, IntPtr cameraMatrix2, IntPtr distCoeffs2, Size imageSize, IntPtr R, IntPtr T, IntPtr E, IntPtr F, MCvTermCriteria termCrit, CvEnum flags ) : double | ||
| cvStereoRectify ( IntPtr cameraMatrix1, IntPtr cameraMatrix2, IntPtr distCoeffs1, IntPtr distCoeffs2, Size imageSize, IntPtr R, IntPtr T, IntPtr R1, IntPtr R2, IntPtr P1, IntPtr P2, IntPtr Q, CvEnum flags, double alpha, Size newImageSize, Rectangle &validPixROI1, Rectangle &validPixROI2 ) : void | ||
| cvStereoRectifyUncalibrated ( IntPtr points1, IntPtr points2, IntPtr F, Size imageSize, IntPtr H1, IntPtr H2, double threshold ) : int | ||
| cvSubdiv2DLocate ( IntPtr subdiv, PointF pt, IntPtr &edge, IntPtr &vertex ) : CvEnum.Subdiv2DPointLocationType | ||
| cvSubdivDelaunay2DInsert ( IntPtr subdiv, PointF pt ) : IntPtr | ||
| cvSubstituteContour ( IntPtr scanner, IntPtr newContour ) : void | ||
| cvThreshHist ( IntPtr hist, double threshold ) : void | ||
| cvThreshold ( IntPtr src, IntPtr dst, double threshold, double maxValue, CvEnum thresholdType ) : double | ||
| cvUndistort2 ( IntPtr src, IntPtr dst, IntPtr intrinsicMatrix, IntPtr distortionCoeffs, IntPtr newIntrinsicMatrix ) : void | ||
| cvUndistortPoints ( IntPtr src, IntPtr dst, IntPtr camera_matrix, IntPtr dist_coeffs, IntPtr R, IntPtr P ) : void | ||
| cvUpdateBGStatModel ( IntPtr currentFrame, IntPtr bgModel, double learningRate ) : int | ||
| cvUpdateMotionHistory ( IntPtr silhouette, IntPtr mhi, double timestamp, double duration ) : void | ||
| cvWaitKey ( int delay ) : int | ||
| cvWarpAffine ( IntPtr src, IntPtr dst, IntPtr mapMatrix, int flags, MCvScalar fillval ) : void | ||
| cvWarpPerspective ( IntPtr src, IntPtr dst, IntPtr mapMatrix, int flags, MCvScalar fillval ) : void | ||
| cvWatershed ( IntPtr image, IntPtr markers ) : void | ||
| cvWriteFrame ( IntPtr writer, IntPtr image ) : bool | ||
| cvbCvBlobGetContour ( IntPtr blob, IntPtr contour ) : void | ||
| cvbCvBlobGetLabel ( IntPtr blob ) : uint | ||
| cvbCvBlobGetMoment ( IntPtr blob, Emgu &moments ) : void | ||
| cvbCvBlobGetRect ( IntPtr blob, Rectangle &rect ) : void | ||
| cvbCvBlobMeanColor ( IntPtr blob, IntPtr imgLabel, IntPtr img ) : MCvScalar | ||
| cvbCvFilterLabels ( IntPtr imgIn, IntPtr imgOut, IntPtr blobs ) : void | ||
| cvbCvLabel ( IntPtr img, IntPtr imgOut, IntPtr blobs ) : uint | ||
| cvbCvRenderBlobs ( IntPtr labelMask, IntPtr blobs, IntPtr imgSource, IntPtr imgDest, Cvb mode, double alpha ) : void | ||
| icvSubdiv2DCheck ( IntPtr subdiv ) : bool | ||
| tbbTaskSchedulerInit ( ) : IntPtr | ||
| tbbTaskSchedulerRelease ( IntPtr &scheduler ) : void | ||
| zlib_compress2 ( IntPtr dataCompressed, int &sizeDataCompressed, IntPtr dataOriginal, int sizeDataOriginal, int compressionLevel ) : void | ||
| zlib_compress_bound ( int length ) : int | ||
| zlib_uncompress ( IntPtr dataUncompressed, int &sizeDataUncompressed, IntPtr compressedData, int sizeDataCompressed ) : void |
| public static CV_FOURCC ( char c1, char c2, char c3, char c4 ) : int | ||
| c1 | char | |
| c2 | char | |
| c3 | char | |
| c4 | char | |
| Результат | int | |
| public static CV_MAKETYPE ( int depth, int cn ) : int | ||
| depth | int | The type of depth |
| cn | int | The number of channels |
| Результат | int | |
| public static GetModuleFormatString ( ) : String | ||
| Результат | String | |
| public static LoadUnmanagedModules ( String loadDirectory ) : bool | ||
| loadDirectory | String | The directory where the unmanaged modules will be loaded. If it is null, the default location will be used. |
| Результат | bool | |
| public static cvBoundingRect ( IntPtr points, bool update ) : Rectangle | ||
| points | IntPtr | Either a 2D point set, represented as a sequence (CvSeq*, CvContour*) or vector (CvMat*) of points, or 8-bit single-channel mask image (CvMat*, IplImage*), in which non-zero pixels are considered |
| update | bool | The update flag. Here is list of possible combination of the flag values and type of contour: /// points is CvContour*, update=false: the bounding rectangle is not calculated, but it is read from rect field of the contour header. /// points is CvContour*, update=true: the bounding rectangle is calculated and written to rect field of the contour header. For example, this mode is used by cvFindContours. /// points is CvSeq* or CvMat*: update is ignored, the bounding rectangle is calculated and returned. /// |
| Результат | Rectangle | |
| public static cvCalcArrHist ( IntPtr image, IntPtr hist, bool accumulate, IntPtr mask ) : void | ||
| image | IntPtr | Source images (though, you may pass CvMat** as well), all are of the same size and type |
| hist | IntPtr | Pointer to the histogram |
| accumulate | bool | Accumulation flag. If it is set, the histogram is not cleared in the beginning. This feature allows user to compute a single histogram from several images, or to update the histogram online |
| mask | IntPtr | The operation mask, determines what pixels of the source images are counted |
| Результат | void | |
| public static cvCalcEigenObjects ( IntPtr input, MCvTermCriteria &calcLimit, IntPtr eigVecs, float eigVals, IntPtr avg ) : void | ||
| input | IntPtr | Pointer to the array of IplImage input objects |
| calcLimit | MCvTermCriteria | Criteria that determine when to stop calculation of eigen objects. Depending on the parameter calcLimit, calculations are finished either after first calcLimit.max_iter dominating eigen objects are retrieved or if the ratio of the current eigenvalue to the largest eigenvalue comes down to calcLimit.epsilon threshold. The value calcLimit -> type must be CV_TERMCRIT_NUMB, CV_TERMCRIT_EPS, or CV_TERMCRIT_NUMB | CV_TERMCRIT_EPS . The function returns the real values calcLimit->max_iter and calcLimit->epsilon |
| eigVecs | IntPtr | Pointer either to the array of eigen objects |
| eigVals | float | Pointer to the eigenvalues array in the descending order; may be NULL |
| avg | IntPtr | Averaged object |
| Результат | void | |
| public static cvCalcHist ( IntPtr image, IntPtr hist, bool accumulate, IntPtr mask ) : void | ||
| image | IntPtr | Source images (though, you may pass CvMat** as well), all are of the same size and type |
| hist | IntPtr | Pointer to the histogram |
| accumulate | bool | Accumulation flag. If it is set, the histogram is not cleared in the beginning. This feature allows user to compute a single histogram from several images, or to update the histogram online |
| mask | IntPtr | The operation mask, determines what pixels of the source images are counted |
| Результат | void | |
| public static cvContourPerimeter ( IntPtr contour ) : double | ||
| contour | IntPtr | Pointer to the contour |
| Результат | double | |
| public static cvCreateHist ( int dims, [ sizes, CvEnum type, [ ranges, bool uniform ) : IntPtr | ||
| dims | int | Number of histogram dimensions |
| sizes | [ | Array of histogram dimension sizes |
| type | CvEnum | Histogram representation format: CV_HIST_ARRAY means that histogram data is represented as an multi-dimensional dense array CvMatND; CV_HIST_SPARSE means that histogram data is represented as a multi-dimensional sparse array CvSparseMat |
| ranges | [ | Array of ranges for histogram bins. Its meaning depends on the uniform parameter value. The ranges are used for when histogram is calculated or backprojected to determine, which histogram bin corresponds to which value/tuple of values from the input image[s]. |
| uniform | bool | /// Uniformity flag; /// if true, the histogram has evenly spaced bins and for every 0<=i<cDims ranges[i] is array of two numbers: lower and upper boundaries for the i-th histogram dimension. /// The whole range [lower,upper] is split then into dims[i] equal parts to determine i-th input tuple value ranges for every histogram bin. /// And if uniform=false, then i-th element of ranges array contains dims[i]+1 elements: lower0, upper0, lower1, upper1 == lower2, ..., upperdims[i]-1, where lowerj and upperj are lower and upper boundaries of i-th input tuple value for j-th bin, respectively. /// In either case, the input values that are beyond the specified range for a histogram bin, are not counted by cvCalcHist and filled with 0 by cvCalcBackProject /// |
| Результат | IntPtr | |
| public static cvCreateSubdivDelaunay2D ( Rectangle rect, IntPtr storage ) : IntPtr | ||
| rect | Rectangle | Rectangle that includes all the 2d points that are to be added to subdivision. |
| storage | IntPtr | Container for subdivision |
| Результат | IntPtr | |
| public static cvCreateVideoWriter ( String filename, int fourcc, double fps, System frameSize, bool isColor ) : IntPtr | ||
| filename | String | Name of the output video file. |
| fourcc | int | 4-character code of codec used to compress the frames. For example, CV_FOURCC('P','I','M','1') is MPEG-1 codec, CV_FOURCC('M','J','P','G') is motion-jpeg codec etc. |
| fps | double | Framerate of the created video stream. |
| frameSize | System | Size of video frames. |
| isColor | bool | If it is true, the encoder will expect and encode color frames, otherwise it will work with grayscale frames |
| Результат | IntPtr | |
| public static cvEigenDecomposite ( IntPtr obj, IntPtr eigInput, IntPtr avg ) : float[] | ||
| obj | IntPtr | Input object (Pointer to IplImage) |
| eigInput | IntPtr | Pointer to the array of IplImage input objects |
| avg | IntPtr | Averaged object (Pointer to IplImage) |
| Результат | float[] | |
| public static cvEigenProjection ( IntPtr inputVecs, float coeffs, IntPtr avg, IntPtr proj ) : void | ||
| inputVecs | IntPtr | Pointer to either an array of IplImage input objects or to a callback function, depending on io_flags |
| coeffs | float | Previously calculated decomposition coefficients |
| avg | IntPtr | Average vector |
| proj | IntPtr | Projection to the eigen sub-space |
| Результат | void | |
| public static cvFloodFill ( IntPtr src, Point seedPoint, MCvScalar newVal, MCvScalar loDiff, MCvScalar upDiff, MCvConnectedComp &comp, CvEnum connectivity, CvEnum flags, IntPtr mask ) : void | ||
| src | IntPtr | Input 1- or 3-channel, 8-bit or floating-point image. It is modified by the function unless CV_FLOODFILL_MASK_ONLY flag is set. |
| seedPoint | Point | The starting point. |
| newVal | MCvScalar | New value of repainted domain pixels. |
| loDiff | MCvScalar | Maximal lower brightness/color difference /// between the currently observed pixel and one of its neighbor belong to the component /// or seed pixel to add the pixel to component. /// In case of 8-bit color images it is packed value. |
| upDiff | MCvScalar | Maximal upper brightness/color difference /// between the currently observed pixel and one of its neighbor belong to the component /// or seed pixel to add the pixel to component. /// In case of 8-bit color images it is packed value. |
| comp | MCvConnectedComp | Pointer to structure the function fills with the information about the repainted domain. |
| connectivity | CvEnum | The connectivity of flood fill |
| flags | CvEnum | The flood fill types |
| mask | IntPtr | Operation mask, /// should be singe-channel 8-bit image, 2 pixels wider and 2 pixels taller than image. /// If not IntPtr.Zero, the function uses and updates the mask, so user takes responsibility of initializing mask content. /// Floodfilling can't go across non-zero pixels in the mask, for example, an edge detector output can be used as a mask to stop filling at edges. /// Or it is possible to use the same mask in multiple calls to the function to make sure the filled area do not overlap. /// Note: because mask is larger than the filled image, pixel in mask that corresponds to (x,y) pixel in image will have coordinates (x+1,y+1). |
| Результат | void | |
| public static cvNamedWindow ( String name ) : int | ||
| name | String | Name of the window which is used as window identifier and appears in the window caption |
| Результат | int | |
| public static cvPointPolygonTest ( IntPtr contour, PointF pt, bool measureDist ) : double | ||
| contour | IntPtr | Input contour |
| pt | PointF | The point tested against the contour |
| measureDist | bool | If true, the function estimates distance from the point to the nearest contour edge |
| Результат | double | |
| public static cvSnakeImage ( IntPtr image, IntPtr points, int length, float alpha, float beta, float gamma, int coeffUsage, Size win, MCvTermCriteria criteria, bool calcGradient ) : void | ||
| image | IntPtr | The source image or external energy field |
| points | IntPtr | Seq points (snake). |
| length | int | Number of points in the contour |
| alpha | float | Weight[s] of continuity energy, single float or array of length floats, one per each contour point |
| beta | float | Weight[s] of curvature energy, similar to alpha |
| gamma | float | Weight[s] of image energy, similar to alpha |
| coeffUsage | int | Variant of usage of the previous three parameters: /// CV_VALUE indicates that each of alpha, beta, gamma is a pointer to a single value to be used for all points; /// CV_ARRAY indicates that each of alpha, beta, gamma is a pointer to an array of coefficients different for all the points of the snake. All the arrays must have the size equal to the contour size. /// |
| win | Size | Size of neighborhood of every point used to search the minimum, both win.width and win.height must be odd |
| criteria | MCvTermCriteria | Termination criteria |
| calcGradient | bool | /// Gradient flag. If true, the function calculates gradient magnitude for every image pixel and consideres it as the energy field, /// otherwise the input image itself is considered /// |
| Результат | void | |
