Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/1905
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dc.contributor.authorAvinash Babu, D-
dc.contributor.authorGhosh, D K-
dc.contributor.authorAri, S-
dc.date.accessioned2013-04-03T15:09:36Z-
dc.date.available2013-04-03T15:09:36Z-
dc.date.issued2013-03-
dc.identifier.citationInternational Conference on Circuit,Power Computing and Technologies ICCPCT-2013.Kumercoil, March 21 – 22, 2013.en
dc.identifier.urihttp://hdl.handle.net/2080/1905-
dc.descriptionCopyright belongs to proceeding publisheren
dc.description.abstractThe aim of this paper is to automatically segment the hand gesture from a given image under different luminance conditions and complex backgrounds. The luminance value affects the color component of an image which leads to increase the noise level in the segmented image. This paper proposes a combined model of two color spaces i.e., HSI, YCbCr and morphological operations with labeling to improve the segmentation performance of color hand gesture from complex backgrounds in terms of completeness and correctness. The proposed color model separates the chrominance and luminance components of the image. The performance of the proposed method is demonstrated through simulation and the experimental results reveal that proposed method provides better performance accuracy compared to the HSI and YCbCr methods individually in terms of correctness and completeness.en
dc.format.extent430361 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoen-
dc.subjectSegmentationen
dc.subjectColor spaceen
dc.subjectLabelingen
dc.subjectYCbCren
dc.subjectHSIen
dc.subjectChrominanceen
dc.subjectLuminanceen
dc.titleColor Hand Gesture Segmentation for Images with Complex Backgrounden
dc.typeArticleen
Appears in Collections:Conference Papers

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