image_compare library

Classes

Algorithm: Abstract class for all algorithms
AverageHash: Algorithm class for comparing images using average values of pixels.
ChiSquareDistanceHistogram: Algorithm class for comparing images with chi-square histogram intersections
DirectAlgorithm: Algorithm class for comparing images pixel-by-pixel
EuclideanColorDistance: Algorithm class for comparing images with euclidean distance.
HashAlgorithm: Abstract class for all hash alogrithms
HistogramAlgorithm: Abstract class for all histogram algorithms
IMED: Algorithm class for comparing images with image euclidean distance
IntersectionHistogram: Algorithm class for comparing images with standard histogram intersection.
MedianHash: Algorithm class for comparing images using average values of pixels.
Pair<T1, T2>: Organizational class for storing a pair of generic objects T1 and T2
PerceptualHash: Algorithm class for comparing images with the perceptual hash method
Pixel: Organizational class for storing src1 and src2 data. Fields are RGBA values
PixelMatching: Algorithm class for comparing images with standard pixel matching.
RGBAHistogram: Organizational class for storing src1 and src2 data. Fields are RGBA histograms (256 element lists)

compareImages({required dynamic src1, required dynamic src2, Algorithm? algorithm}) → Future<double>: Compare images from src1 and src2 with a specified algorithm. If algorithm is not specified, the default (PixelMatching()) is supplied.
listCompare({required dynamic target, required List list, Algorithm? algorithm}) → Future<List<double>>: Compare target to each image present in list using a specified algorithm. If algorithm is not specified, the default (PixelMatching()) is supplied.