Adaptive weighted morphology detection algorithm of plane object in docking guidance system

A novel morphological edge detection based on adaptive weighted morphological operators is presented. It judges plane edge and direction by adaptive weighted morphological structuring elements (SE). If the edge direction exists, a big weight SE is put; if doesn´t exist, a small weight SE is put. Thus we can achieve an intensified edge detector. Experimental results prove that the new operators´ performance dominates those of classical operators for images in geometric feature detection, and obtain superb plane detail edges.