Human skin region detection in Web video
An improved detection algorithm was presented.Firstly,an improved skin color model,which adopted many preprocessing including optical offset,auto white balance,and auto gamma correction,was built to detect candidate skin pixels.Secondly,the image was filtered with erosion and dilation to exclude unc...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2009-01-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/74653181/ |
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| _version_ | 1841537656179130368 |
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| author | GUO Jun-bo1 ZHANG Dong-ming1 ZHANG Yong-dong1 XU Jie1 WANG Wen-ying1 |
| author_facet | GUO Jun-bo1 ZHANG Dong-ming1 ZHANG Yong-dong1 XU Jie1 WANG Wen-ying1 |
| author_sort | GUO Jun-bo1 |
| collection | DOAJ |
| description | An improved detection algorithm was presented.Firstly,an improved skin color model,which adopted many preprocessing including optical offset,auto white balance,and auto gamma correction,was built to detect candidate skin pixels.Secondly,the image was filtered with erosion and dilation to exclude unconnected candidate pixels.Lastly,gray co-matrix was used to exclude those candidate human skin regions with complex texture.Experimental results show that this algorithm improves the skin region detection precision. |
| format | Article |
| id | doaj-art-d624d12fed8648d5ab45707f86c38f11 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2009-01-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-d624d12fed8648d5ab45707f86c38f112025-01-14T08:29:45ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2009-01-013061074653181Human skin region detection in Web videoGUO Jun-bo1ZHANG Dong-ming1ZHANG Yong-dong1XU Jie1WANG Wen-ying1An improved detection algorithm was presented.Firstly,an improved skin color model,which adopted many preprocessing including optical offset,auto white balance,and auto gamma correction,was built to detect candidate skin pixels.Secondly,the image was filtered with erosion and dilation to exclude unconnected candidate pixels.Lastly,gray co-matrix was used to exclude those candidate human skin regions with complex texture.Experimental results show that this algorithm improves the skin region detection precision.http://www.joconline.com.cn/zh/article/74653181/skin region detectionskin color modelgray co-matrixline segment codingconnected region |
| spellingShingle | GUO Jun-bo1 ZHANG Dong-ming1 ZHANG Yong-dong1 XU Jie1 WANG Wen-ying1 Human skin region detection in Web video Tongxin xuebao skin region detection skin color model gray co-matrix line segment coding connected region |
| title | Human skin region detection in Web video |
| title_full | Human skin region detection in Web video |
| title_fullStr | Human skin region detection in Web video |
| title_full_unstemmed | Human skin region detection in Web video |
| title_short | Human skin region detection in Web video |
| title_sort | human skin region detection in web video |
| topic | skin region detection skin color model gray co-matrix line segment coding connected region |
| url | http://www.joconline.com.cn/zh/article/74653181/ |
| work_keys_str_mv | AT guojunbo1 humanskinregiondetectioninwebvideo AT zhangdongming1 humanskinregiondetectioninwebvideo AT zhangyongdong1 humanskinregiondetectioninwebvideo AT xujie1 humanskinregiondetectioninwebvideo AT wangwenying1 humanskinregiondetectioninwebvideo |