Adaptive Weighted Morphology Detection Algorithm of Plane Object in Docking Guidance System

In this paper, we presented an image segmentation algorithm based on adaptive weighted mathematicalmorphology edge detectors. The performance of the proposed algorithm has been demonstrated on the Lena image. The input of the proposed algorithm is a grey level image. The image was first processed by the mathematicalmorphological closing and dilation residue edge detector to enhance the edge features and sketch out the contour ofthe image, respectively. Then the adaptive weight SE operation was applied to the edge-extracted image to fuseedge gaps and hill up holds. Experimental results show it can not only primely extract detail edge, but alsosuperbly preserve integer effect comparative to classical edge detection algorithm