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

Author(s): Guo yan-ying | Yang guo-qing | Jiang li-hui

Journal: International Journal of Advanced Robotic Systems
ISSN 1729-8806

Volume: 7;
Issue: 2;
Date: 2010;
Original page

In this paper, we presented an image segmentation algorithm based on adaptive weighted mathematical morphology 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 mathematical morphological closing and dilation residue edge detector to enhance the edge features and sketch out the contour of the image, respectively. Then the adaptive weight SE operation was applied to the edge-extracted image to fuse edge gaps and hill up holds. Experimental results show it can not only primely extract detail edge, but also superbly preserve integer effect comparative to classical edge detection algorithm.
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