DoG (Difference of Gaussian) Filter Operator

The DoG (Difference of Gaussian) filter operator is primarily used for edge feature extraction and serves as preprocessing for segmentation in pattern recognition. Its main parameters are the variances of two Gaussian functions, and designing appropriate variance values enables different performance characteristics for various image features. In implementation, the algorithm involves applying two Gaussian blur filters with different standard deviations and subtracting the results to enhance edge detection.