Skin color segmentation using coarse-to-fine region on normalized RGB chromaticity diagram for face detection
This paper describes a new color segmentation based on a normalized RGB chromaticity diagram for face detection. I-ace skill is extracted from color images using it coarse skin region with fixed boundaries followed by a fine skill region with variable boundaries. Two newly developed histograms that...
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| Format: | Article |
| Language: | English |
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The Institute of Electronics, Information and Communication Engineers
2008
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| Online Access: | http://shdl.mmu.edu.my/2174/ http://shdl.mmu.edu.my/2174/1/Skin%20color%20segmentation%20using%20coarse-to-fine%20region%20on%20normalized%20RGB%20chromaticity%20diagram%20for%20face%20detection.pdf |
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| author | Soetedjo, Aryuanto Yamada, Koichi |
| author_facet | Soetedjo, Aryuanto Yamada, Koichi |
| author_sort | Soetedjo, Aryuanto |
| building | MMU Institutional Repository |
| collection | Online Access |
| description | This paper describes a new color segmentation based on a normalized RGB chromaticity diagram for face detection. I-ace skill is extracted from color images using it coarse skin region with fixed boundaries followed by a fine skill region with variable boundaries. Two newly developed histograms that have prominent peaks of skill color and non-skill colors are employed to adjust the boundaries of the skin region The proposed approach does not need a skin color model. which depends on it specific camera parameter and is usually limited to a particular environment condition. and no sample images are required. The experimental results using color face images of Various races under varying lighting conditions and complex backgrounds, obtained front four different resources on the Internet, show a high detection rate of 87%. The results of the detection rate and computation time are comparable to the well known real-time face detection method proposed by Viola-Jones [11], [12] . |
| first_indexed | 2025-11-14T18:05:24Z |
| format | Article |
| id | mmu-2174 |
| institution | Multimedia University |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T18:05:24Z |
| publishDate | 2008 |
| publisher | The Institute of Electronics, Information and Communication Engineers |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | mmu-21742015-05-12T08:43:52Z http://shdl.mmu.edu.my/2174/ Skin color segmentation using coarse-to-fine region on normalized RGB chromaticity diagram for face detection Soetedjo, Aryuanto Yamada, Koichi T Technology (General) QA75.5-76.95 Electronic computers. Computer science This paper describes a new color segmentation based on a normalized RGB chromaticity diagram for face detection. I-ace skill is extracted from color images using it coarse skin region with fixed boundaries followed by a fine skill region with variable boundaries. Two newly developed histograms that have prominent peaks of skill color and non-skill colors are employed to adjust the boundaries of the skin region The proposed approach does not need a skin color model. which depends on it specific camera parameter and is usually limited to a particular environment condition. and no sample images are required. The experimental results using color face images of Various races under varying lighting conditions and complex backgrounds, obtained front four different resources on the Internet, show a high detection rate of 87%. The results of the detection rate and computation time are comparable to the well known real-time face detection method proposed by Viola-Jones [11], [12] . The Institute of Electronics, Information and Communication Engineers 2008-10 Article NonPeerReviewed text en http://shdl.mmu.edu.my/2174/1/Skin%20color%20segmentation%20using%20coarse-to-fine%20region%20on%20normalized%20RGB%20chromaticity%20diagram%20for%20face%20detection.pdf Soetedjo, Aryuanto and Yamada, Koichi (2008) Skin color segmentation using coarse-to-fine region on normalized RGB chromaticity diagram for face detection. IEICE Transactions on Information and Systems, E91-D (10). pp. 2493-2502. ISSN 09168532 http://dx.doi.org/10.1093/ietisy/e91-d.10.2493 doi:10.1093/ietisy/e91-d.10.2493 doi:10.1093/ietisy/e91-d.10.2493 |
| spellingShingle | T Technology (General) QA75.5-76.95 Electronic computers. Computer science Soetedjo, Aryuanto Yamada, Koichi Skin color segmentation using coarse-to-fine region on normalized RGB chromaticity diagram for face detection |
| title | Skin color segmentation using coarse-to-fine region on normalized RGB chromaticity diagram for face detection |
| title_full | Skin color segmentation using coarse-to-fine region on normalized RGB chromaticity diagram for face detection |
| title_fullStr | Skin color segmentation using coarse-to-fine region on normalized RGB chromaticity diagram for face detection |
| title_full_unstemmed | Skin color segmentation using coarse-to-fine region on normalized RGB chromaticity diagram for face detection |
| title_short | Skin color segmentation using coarse-to-fine region on normalized RGB chromaticity diagram for face detection |
| title_sort | skin color segmentation using coarse-to-fine region on normalized rgb chromaticity diagram for face detection |
| topic | T Technology (General) QA75.5-76.95 Electronic computers. Computer science |
| url | http://shdl.mmu.edu.my/2174/ http://shdl.mmu.edu.my/2174/ http://shdl.mmu.edu.my/2174/ http://shdl.mmu.edu.my/2174/1/Skin%20color%20segmentation%20using%20coarse-to-fine%20region%20on%20normalized%20RGB%20chromaticity%20diagram%20for%20face%20detection.pdf |