AN METHOD OF EXTRACTING AN INFRARED SEQUENCE IMAGE EDGE BASED ON ADAPTIVE LATERAL INHIBITION

摘要

In infrared image and recognition processing, the target edge is an important feature and plays a crucial role. According to the properties of infrared image we have made a key research in double filtration and functions of "highlighting frames and reinforcing contrast" in lateral inhibition network, and put forward an image edge detection-based method. The method has some restraint over noise and evident effect in edge detection. In light of sequence images' relevance we have utilized immune algorithm to segment object's moving areas and form object templates. Then we have obtained the updated templates in the state of moving sequence frames and finally low-contrast, low-noise and edge-blurred sequence rims of infrared object images. The effect is good.