Visual characteristic-based bionic adaptive fuzzy edge detection method

The invention relates to a mankind visual characteristic-based bionic adaptive fuzzy edge detection method and belongs to the field of digital image processing technology. The method comprises the steps of adaptively enhancing the global brightness of an operation image, converting the original spatial domain of the image into the fuzzy domain of the image, adaptively enhancing the local brightness of the fuzzy domain of the operation image, conducting the inverse transformation on the fuzzy domain of the original image, and finally extracting the edge of the processed image through adopting an Nakagowa operator. According to the technical scheme of the invention, the global region and the local region of the image are adaptively adjusted based on a human eye visual perception system. In this way, the fuzzy edge detection is optimized based on the conventional PAL algorithm, while the low-gray-value edge information is maintained at the same time. The degree of membership function is simplified, and the metho