Image Segmentation Using Thresholding and Genetic Algorithm

Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/356

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DC Field	Value	Language
dc.contributor.author	Kanungo, P	-
dc.contributor.author	Nanda, P K	-
dc.contributor.author	Samal, U C	-
dc.date.accessioned	2006-11-20T04:26:50Z	-
dc.date.available	2006-11-20T04:26:50Z	-
dc.date.issued	2006	-
dc.identifier.citation	Proceedings of the Conference on Soft Computing Technique for Engineering Applications, SCT 2006, March 24-26, 2006, Rourkela, India	en
dc.identifier.uri	http://hdl.handle.net/2080/356	-
dc.description	Copyright for this article belongs to National Institute of Technology, Rourkela	en
dc.description.abstract	In this paper the problem of image segmentation is addressed using the notion of thresholding. A new approach based on Genetic Algorithm (GA) is proposed for selection of threshold from the histogram of images. Specifically GA based crowding algorithm is proposed for determination of the peaks and valleys of the histogram. Experimental results are provided for histogram with bimodal feature, however, this technique can be extended to multi threshold selection for histograms with multimodal feature.	en
dc.format.extent	499455 bytes	-
dc.format.mimetype	application/pdf	-
dc.language.iso	en	-
dc.publisher	NIT, Rourkela, India	en
dc.subject	Segmentation	en
dc.subject	Genetic Algorithms	en
dc.title	Image Segmentation Using Thresholding and Genetic Algorithm	en
dc.type	Article	en
Appears in Collections:	Conference Papers

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