Loading...

Skin detection using contourlet-based texture analysis

Fotouhi, M ; Sharif University of Technology | 2009

768 Viewed
  1. Type of Document: Article
  2. DOI: 10.1109/ICDT.2009.18
  3. Publisher: 2009
  4. Abstract:
  5. Detection of skin pixels in arbitrary images is addressed in this paper. We have combined texture and color information to segment skin regions. First, a pixel-based boosted skin detection method is used to locate skin pixels. To further improve the detect performance, skin region texture features are employed using the nonsubsampled contourlet coefficients. For the candidate skin pixels, the set of 8×8 patches around that pixel in all subimages are selected and the feature vector of each patch is extracted. Multilayer perceptron is then utilized to learn features and classify any given input sample. The proposed algorithm has achieved true positive rate of about 82.8% and false positive rate of about 7.6% on the test set that contains 300 images. Experimental results show the effectiveness of the proposed method when compared to the other state-of-the-art texture-based skin segmentation approaches. © 2009 IEEE
  6. Keywords:
  7. Pixel-Based Skin Detection ; Color information ; Contourlets ; False positive rates ; Feature vectors ; Input sample ; Multi layer perceptron ; Nonsubsampled contourlet ; Region-Based Skin Detection ; Skin Detection ; Skin segmentation ; Subimages ; Test sets ; Texture Analysis ; Texture features ; True positive rates ; Algorithms ; Pixels ; Textures ; Skin
  8. Source: 2009 4th International Conference on Digital Telecommunications, ICDT 2009, Colmar, 20 July 2009 through 25 July 2009 ; 2009 , Pages 59-64 ; 9780769536958 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/5205236