Image filtering The center of the kernel for these operators is assumed to be the origin (0,0). So a 7 by 7 filter would be a 2d array with an index range from -3 to 3 in both dimensions. Normal classes: ConvolveSeparable2dC Separable 2D Convolution Convolve2dC 2D Convolution ConvolveHorz2dC Horzontal 2D Convolution with a 1D filter. ConvolveVert2dC Vertontal 2D Convolution with a 1D filter. HomomorphicFilterC Homomorphic filter HistogramEqualiseC Histogram Equalisation. Correlate2dC 2D Convolution Normal functions: MatchSumAbsDifference(const Array2dC &,const Array2dC &,const Index2dC &,SumT &) Compute the sum of absolute differences between two images. SearchMinAbsDifference(const Array2dC &,const Array2dC &,const IndexRange2dC &,Index2dC &,SumT &) Search img for template 'tmpl' with the minimum absolute difference.
The center of the kernel for these operators is assumed to be the origin (0,0). So a 7 by 7 filter would be a 2d array with an index range from -3 to 3 in both dimensions.