Edge detection of Grey Scale Images based on Multi-Structure Elements Morphology
Sukhwinder Singh , Dr.Neelam Rup Prakash
Abstract
Edge detection is an important pre-processing step in image analysis. Conventionally, Mathematical morphology edge detection methods use single and symmetrical structure elements. But it is difficult to detect complex edge feature with these structure elements, because they are only sensitive to image edges which have the same direction of structure elements. This paper proposed a novel edge detection algorithm based on multi-structure elements morphology of eight different directions. We got five different edge detection results, then opening, closing, top hat transform and bottom hat transform is used to get final results. The experimental results showed that the proposed algorithm is more efficient for edge detection than conventional mathematical morphological edge detection algorithms and differential edge detection operators.
References
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