An edge extraction algorithm based on the micro-motion mechanism of human eyes is proposed. By simulating the micro-motion of the eyeball, the micro-motion edge of the image is extracted. At the same time, in order to reduce the generation of pseudo edges, the micro-motion edge image is processed by mean filtering. Finally, non-maximum suppression and double threshold edge detection are applied to extract the binary edge of the image. The experimental results show that the edge extraction effect of the algorithm is good and the expected effect is achieved.
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