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Modified Watershed Algorithm for Extracting Correct Edge and Reducing Processing Time  

Park, Dong-In ((주)한화 종합연구소)
Kim, Tae-Won (충남대학교 메카트로닉스공학과)
Ko, Yuh-Ho (충남대학교 메카트로닉스공학과)
Choi, Jae-Gark (동의대학교 컴퓨터공학과)
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Abstract
In this paper, we propose a modified watershed algorithm to extract more correct edge and reduce processing time. Two new algorithms are proposed in this paper. The first one is applying two conventional watershed expansion methods known as rainfall and immersion simulation jointly. We analyze the advantage and problem of each simulation and then propose a new expansion method that keeps the advantage and removes the problem in order to extract more correct edge and reduce processing time. The second is a new priority decision algorithm to obtain more correct edge of a region. Some zero-crossing points of gradient are expected to be edge of a region but the conventional method has a limitation that it cannot extract those points as edge. Therefore we propose a new priority decision algorithm for watershed in order to get more correct edge. We compare the proposed method with the conventional method through experiments and prove that the proposed method can extract more correct edge of region.
Keywords
image segmentation; watershed; gradient; zero-crossing; priority;
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Times Cited By KSCI : 4  (Citation Analysis)
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