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A rule-based approach for robust clump splitting |
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| Authors: | S Kumar [Author Vitae] [Author Vitae] S Ranganath [Author Vitae] [Author Vitae] FT Chew [Author Vitae] |
| Affiliation: | a Department of Electrical and Computer Engineering, National University of Singapore, 10 Kent Ridge Crescent, Singapore 119260, Singapore b Division of Bioengineering, National University of Singapore, 10 Kent Ridge Crescent, Singapore 119260, Singapore c Department of Biological Sciences, National University of Singapore, 10 Kent Ridge Crescent, Singapore 119260, Singapore |
| Abstract: | This paper presents a robust rule-based approach for the splitting of binary clumps that are formed by objects of diverse shapes and sizes. First, the deepest boundary pixels, i.e., the concavity pixels in a clump, are detected using a fast and accurate scheme. Next, concavity-based rules are applied to generate the candidate split lines that join pairs of concavity pixels. A figure of merit is used to determine the best split line from the set of candidate lines. Experimental results show that the proposed approach is robust and accurate. |
| Keywords: | Concavity analysis Overlapping objects Segmentation Clump splitting |
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