Visual bionic edge detection method based on texture gradient adjustment

The invention provides a visual bionic edge detection method based on texture gradient adjustment, and belongs to the technical field of image edge detection. The method focuses on introducing texture gradients to detect significant edges and suppress textures, firstly modeling a retina, encoding an image, obtaining a plurality of information channels, and on this basis, designing a new peripheral regulation mechanism, including homonymous promotion, lateral suppression and omnidirectional suppression, to regulate the response of simple cells of a primary visual cortex, and at the same time, designing a new peripheral regulation mechanism, including homonymous promotion, lateral suppression and omnidirectional suppression, to regulate the response of the simple cells of the primary visual cortex. The method comprises the following steps: firstly, extracting a texture gradient by using texture information to highlight the boundary of a texture region and weaken the response of a texture edge in combination wit