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Region and boundary segmentation of microcalcifications using seed-based region growing and mathematical morphology


Citation

Abdul Malek, Aminah and Wan Abdul Rahman, Wan Eny Zarina and Ibrahim, Arsmah and Mahmud, Rozi and Yasiran, Siti Salmah and Jumaat, Abdul Kadir (2010) Region and boundary segmentation of microcalcifications using seed-based region growing and mathematical morphology. Procedia - Social and Behavioral Sciences, 8. pp. 634-639. ISSN 1877-0428

Abstract

In this paper an image segmentation technique is presented by combining seed based region growing and boundary segmentation in sequential order. The first process in region growing is to identify an initial seed point. Most of region growing methods identify the seed point manually which involve human interaction. Thus, automated initial seed point identification for region growing algorithm is proposed. The boundary segmentation technique is implemented in order to improve the segmentation results. The method is tested on 50 mammogram images confirmed by a radiologist to consist microcalcifications. Experimental results show that the algorithm successfully segment the microcalcifications with accuracy of 0.94.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Medicine and Health Science
DOI Number: https://doi.org/10.1016/j.sbspro.2010.12.088
Publisher: Elsevier
Keywords: Segmentation; Seed based region growing; Mathematical morphology; Microcalcifications
Depositing User: Nabilah Mustapa
Date Deposited: 14 Sep 2016 02:45
Last Modified: 14 Sep 2016 02:45
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1016/j.sbspro.2010.12.088
URI: http://psasir.upm.edu.my/id/eprint/48162
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