Name
Abstract | ||
|---|---|---|
Among various skin detection methods, Skin Probability Map (SPM) method is an effective one. Though SPM method possesses high true acceptance rate (TAR), its false acceptance rate (FAR) is unacceptable in some cases. The reason is that SPM method only use pixel-level color information. This paper proposes an improved skin detection method that integrates color, texture and space information. After color filter, a texture filter is constructed based on texture features extracted form Gabor wavelet transform. Texture filter will further filter non-skin pixels, meanwhile, it may also filter some skin pixel. To compensate the loss, after texture filter, a marker driven watershed transform is then used to grow already obtained skin regions. Experimental results show that the proposed method can achieve better performance than that of SPM. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/FSKD.2007.518 | FSKD (3) |
Keywords | Field | DocType |
pixel-level color information,color filter,computer vision systems,gabor filters,wavelet transforms,though spm method,space information,marker driven watershed transform,image segmentation,skin detection,various skin detection method,skin region,improved skin detection method,skin detection methods,marker-controlled watershed segmentation,spm method,gabor wavelet transform,object detection,computer vision,texture filter,filtering theory,skin pixel,texture feature extraction,image texture,skin,image colour analysis,watershed transform,gabor wavelets | Gabor wavelet transform,Computer vision,Object detection,Pattern recognition,Computer science,Image texture,Image segmentation,Pixel,Artificial intelligence,Color gel,Texture filtering,Wavelet transform | Conference |
Volume | ISBN | Citations |
3 | 978-0-7695-2874-8 | 16 |
PageRank | References | Authors |
0.93 | 12 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhiwei Jiang | 1 | 41 | 6.41 |
| Min Yao | 2 | 25 | 3.82 |
| Wei Jiang | 3 | 100 | 17.09 |