Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/1905
Title: Color Hand Gesture Segmentation for Images with Complex Background
Authors: Avinash Babu, D
Ghosh, D K
Ari, S
Keywords: Segmentation
Color space
Labeling
YCbCr
HSI
Chrominance
Luminance
Issue Date: Mar-2013
Citation: International Conference on Circuit,Power Computing and Technologies ICCPCT-2013.Kumercoil, March 21 – 22, 2013.
Abstract: The 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.
Description: Copyright belongs to proceeding publisher
URI: http://hdl.handle.net/2080/1905
Appears in Collections:Conference Papers

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