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|Title:||A rule-based approach for robust clump splitting||Authors:||Kumar, S.
|Issue Date:||Jun-2006||Citation:||Kumar, S., Ong, S.H., Ranganath, S., Ong, T.C., Chew, F.T. (2006-06). A rule-based approach for robust clump splitting. Pattern Recognition 39 (6) : 1088-1098. ScholarBank@NUS Repository. https://doi.org/10.1016/j.patcog.2005.11.014||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. © 2005 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.||Source Title:||Pattern Recognition||URI:||http://scholarbank.nus.edu.sg/handle/10635/54798||ISSN:||00313203||DOI:||10.1016/j.patcog.2005.11.014|
|Appears in Collections:||Staff Publications|
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