Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.patcog.2005.11.014
Title: A rule-based approach for robust clump splitting
Authors: Kumar, S. 
Ong, S.H. 
Ranganath, S. 
Ong, T.C. 
Chew, F.T. 
Keywords: Clump splitting
Concavity analysis
Overlapping objects
Segmentation
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
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