Skin detection based on thresholding in RGB and hue component

Citation

Mat Jusoh, Rizal and Hamzah, Norhazimi and Marhaban, Mohammad Hamiruce and Alias, Nik Mohd Asrol (2010) Skin detection based on thresholding in RGB and hue component. In: 2010 IEEE Symposium on Industrial Electronics and Applications (ISIEA 2010), 3-5 Oct. 2010, Penang, Malaysia. (pp. 515-517).

Abstract

This paper presents a skin detection of color image using thresholding in hue component of HSV (Hue, Saturation, and Value) and RGB (Red, Green and Blue) color spaces. The reason for choosing hue component for thresholding compared to two other components is hue gives the best result for skin detection. The process of thresholding in hue component is done in order to get candidate pixels of skin regions. Then, the rectangular box of these blob regions are estimated and used to do thresholding in RGB color space where the mean and standard of each rectangular box is calculated. This method, is similar to adaptive thresholding technique in grayscale image processing, is able to detect the skin region of the test images accurately and with an acceptable robustness.

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Additional Metadata

Item Type:	Conference or Workshop Item (Paper)
Divisions:	Faculty of Engineering
DOI Number:	https://doi.org/10.1109/ISIEA.2010.5679412
Publisher:	IEEE
Keywords:	Color; Skin; Color space; Thresholding
Depositing User:	Nabilah Mustapa
Date Deposited:	07 Aug 2020 02:59
Last Modified:	07 Aug 2020 02:59
Altmetrics:	http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/ISIEA.2010.5679412
URI:	http://psasir.upm.edu.my/id/eprint/45750
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