| zxingwp7.common.detector |
| zxingwp7.common.reedsolomon |
| Name | Description |
|---|---|
| BitArray | A simple, fast array of bits, represented compactly by an array of ints internally. |
| BitMatrix | Represents a 2D matrix of bits. In function arguments below, and throughout the common module, x is the column position, and y is the row position. The ordering is always x, y. The origin is at the top-left. Internally the bits are represented in a 1-D array of 32-bit ints. However, each row begins with a new int. This is done intentionally so that we can copy out a row into a BitArray very efficiently. The ordering of bits is row-major. Within each int, the least significant bits are used first, meaning they represent lower x values. This is compatible with BitArray's implementation. |
| BitSource | This provides an easy abstraction to read bits at a time from a sequence of bytes, where the number of bits read is not often a multiple of 8. This class is thread-safe but not reentrant. Unless the caller modifies the bytes array it passed in, in which case all bets are off. |
| ByteArray | This class implements an array of unsigned bytes. |
| ByteMatrix | A class which wraps a 2D array of bytes. The default usage is signed. If you want to use it as a unsigned container, it's up to you to do byteValue & 0xff at each location. JAVAPORT: The original code was a 2D array of ints, but since it only ever gets assigned -1, 0, and 1, I'm going to use less memory and go with bytes. |
| Collections | This is basically a substitute for |
| DecoderResult | Encapsulates the result of decoding a matrix of bits. This typically applies to 2D barcode formats. For now it contains the raw bytes obtained, as well as a String interpretation of those bytes, if applicable. |
| DefaultGridSampler | |
| DetectorResult | Encapsulates the result of detecting a barcode in an image. This includes the raw matrix of black/white pixels corresponding to the barcode, and possibly points of interest in the image, like the location of finder patterns or corners of the barcode in the image. |
| ECI | Superclass of classes encapsulating types ECIs, according to "Extended Channel Interpretations" 5.3 of ISO 18004. |
| GlobalHistogramBinarizer | This Binarizer implementation uses the old ZXing global histogram approach. It is suitable for low-end mobile devices which don't have enough CPU or memory to use a local thresholding algorithm. However, because it picks a global black point, it cannot handle difficult shadows and gradients. Faster mobile devices and all desktop applications should probably use HybridBinarizer instead. |
| HybridBinarizer | This class implements a local thresholding algorithm, which while slower than the GlobalHistogramBinarizer, is fairly efficient for what it does. It is designed for high frequency images of barcodes with black data on white backgrounds. For this application, it does a much better job than a global blackpoint with severe shadows and gradients. However it tends to produce artifacts on lower frequency images and is therefore not a good general purpose binarizer for uses outside ZXing. This class extends GlobalHistogramBinarizer, using the older histogram approach for 1D readers, and the newer local approach for 2D readers. 1D decoding using a per-row histogram is already inherently local, and only fails for horizontal gradients. We can revisit that problem later, but for now it was not a win to use local blocks for 1D. This Binarizer is the default for the unit tests and the recommended class for library users. |
| PerspectiveTransform | This class implements a perspective transform in two dimensions. Given four source and four destination points, it will compute the transformation implied between them. The code is based directly upon section 3.4.2 of George Wolberg's "Digital Image Warping"; see pages 54-56. |