Name
Abstract | ||
|---|---|---|
This paper presents a reliable color pixel clustering model for skin segmentation under unconstrained scene conditions. The proposed model can overcome sensitivity to variations in lighting conditions and complex backgrounds. Our approach is based on building multi-skin color clustering models using the Hue, Saturation, and Value color space and multi-level segmentation. Skin regions are extracted using four skin color clustering models, namely, the standard-skin, shadow-skin, light-skin, and high-red-skin models. Moreover, skin color correction (skin lighting) at the shadow-skin layer is used to improve the detection rate. The experimental results from a large image data set demonstrate that the proposed clustering models could achieve a true positive rate of 96.5% and a false positive rate of approximately 0.765%. The experimental results show that the color pixel clustering model is more efficient than other approaches. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1016/j.dsp.2012.05.004 | Digital Signal Processing |
Keywords | Field | DocType |
multi pixel color,color pixel,skin segmentation,skin region,skin lighting,proposed clustering model,skin color correction,multi-skin color,reliable color pixel,value color space,skin color,color space | Computer vision,Color space,Color histogram,Pattern recognition,Hue,Color correction,Color balance,Artificial intelligence,Cluster analysis,Color normalization,Mathematics,Color image | Journal |
Volume | Issue | ISSN |
22 | 6 | 1051-2004 |
Citations | PageRank | References |
15 | 0.67 | 13 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sinan A. Naji | 1 | 18 | 2.12 |
| Roziati Zainuddin | 2 | 65 | 8.91 |
| Hamid A. Jalab | 3 | 144 | 23.33 |