Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/69024
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dc.contributor.authorTan Xiao, Jian-
dc.contributor.authorNazahah, Mustafa-
dc.contributor.authorMohd Yusoff, Mashor-
dc.contributor.authorKhairul Shakir, Ab Rahman-
dc.date.accessioned2020-12-16T08:26:55Z-
dc.date.available2020-12-16T08:26:55Z-
dc.date.issued2019-
dc.identifier.citationJournal of Physics: Conference Series, vol.1372, 2019, 6 pagesen_US
dc.identifier.issn1742-6588 (print)-
dc.identifier.issn1742-6596 (online)-
dc.identifier.urihttp://dspace.unimap.edu.my:80/xmlui/handle/123456789/69024-
dc.descriptionLink to publisher's homepage at https://iopscience.iop.org/en_US
dc.description.abstractSegmentation of irrelevant regions in the breast histopathology image is essentially performed in preliminary or post processing stages. This study presents a color thresholding method to segment the irrelevant regions, specifically blood cells and hemorrhage in the RGB breast histopathology images. The conventional gray level global thresholding method was extended to color images by modifying the thresholding algorithm. The color thresholding method was performed by decomposing the RGB input image into coherent regions based on similarity in color feature. Area Overlap Measure (AOM) and Combined Equal Importance (CEI) are two statistical metrics used to evaluate the performance of the color thresholding method. The obtained AOM and CEI for the overall dataset in blood cells are 0.92 and 0.89, respectively. The color thresholding method is found to be effective and is able to produce plausible thresholding results in segmentation of irrelevant regions in RGB breast histopathology images.en_US
dc.language.isoenen_US
dc.publisherIOP Publishingen_US
dc.relation.ispartofseriesInternational Conference on Biomedical Engineering (ICoBE);-
dc.subjectSegmentationen_US
dc.subjectIrrelevant regionsen_US
dc.subjectBreast histopathologyen_US
dc.titleSegmentation of Irrelevant Regions using Color Thresholding Method: application in Breast Histopathology Imagesen_US
dc.typeArticleen_US
dc.identifier.urlhttps://iopscience.iop.org/article/10.1088/1742-6596/1372/1/012027/pdf-
dc.contributor.urlnazahah@unimap.edu.myen_US
Appears in Collections:Mohd Yusoff Mashor, Prof. Dr.

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