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An algorithm of extracting infrared image edge based on lateral inhibition network and wavelet phase filtration

Infrared image edge is very important in military object detection treatment. Based on the traditional edge detection algorithm the present paper adopts wavelet phase conversion filtration on wavelet transformation and lateral inhibition network to detect infrared image in accordance with infrared image features. The simulation test has proved that it can effectively solve the contradition between precision and strong noise-eliminating ability in the tradtional edge detection and better extract the infrared object image edge.