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dc.contributor.authorKanungo, P-
dc.contributor.authorNanda, P K-
dc.contributor.authorSamal, U C-
dc.identifier.citationProceedings of the Conference on Soft Computing Technique for Engineering Applications, SCT 2006, March 24-26, 2006, Rourkela, Indiaen
dc.descriptionCopyright for this article belongs to National Institute of Technology, Rourkelaen
dc.description.abstractIn 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.extent499455 bytes-
dc.publisherNIT, Rourkela, Indiaen
dc.subjectGenetic Algorithmsen
dc.titleImage Segmentation Using Thresholding and Genetic Algorithmen
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