Human Skin Detection

1
Md. Zargis Talukder
Md. Zargis Talukder
2
Avizit Basak
Avizit Basak
3
Dr. Muhammad Shoyaib
Dr. Muhammad Shoyaib
1 Bangladesh University of Engineering & Technology

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GJCST Volume 13 Issue F3

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Skin-color modeling is a crucial task for several applications of computer vision. Problems such as face detection in video are more likely to be solved if an efficient skin-color model is constructed. Most potential applications of skin-color model require robustness to significant variations in races, differing lighting conditions, textures and other factors. Given the fact that a skin surface reflects the light in a different way as compared to other surfaces. As the color of human skin is created by the combination of blood (red) and melanin (brown, yellow) which gives it a restricted range of hues. A skin region can be classified by comparing large image content of skin database and non-skin database. The RGB color space is widely used and most effective to detect skin region from an image. The segmentation is used to localize and identify homogeneous regions in a picture by perceptual attributes which include the size, the shape and the texture and/or color information. The probability of each RGB color space of skin and non-skin database is important to detect skin pixels.

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No external funding was declared for this work.

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The authors declare no conflict of interest.

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No ethics committee approval was required for this article type.

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Not applicable for this article.

Md. Zargis Talukder. 1970. \u201cHuman Skin Detection\u201d. Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 13 (GJCST Volume 13 Issue F3): .

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GJCST Volume 13 Issue F3
Pg. 31- 37
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Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

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Skin-color modeling is a crucial task for several applications of computer vision. Problems such as face detection in video are more likely to be solved if an efficient skin-color model is constructed. Most potential applications of skin-color model require robustness to significant variations in races, differing lighting conditions, textures and other factors. Given the fact that a skin surface reflects the light in a different way as compared to other surfaces. As the color of human skin is created by the combination of blood (red) and melanin (brown, yellow) which gives it a restricted range of hues. A skin region can be classified by comparing large image content of skin database and non-skin database. The RGB color space is widely used and most effective to detect skin region from an image. The segmentation is used to localize and identify homogeneous regions in a picture by perceptual attributes which include the size, the shape and the texture and/or color information. The probability of each RGB color space of skin and non-skin database is important to detect skin pixels.

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Human Skin Detection

Md. Zargis Talukder
Md. Zargis Talukder Bangladesh University of Engineering & Technology
Avizit Basak
Avizit Basak
Dr. Muhammad Shoyaib
Dr. Muhammad Shoyaib

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