An Effective Segmentation for Noise-Based Image Verification Using Gamma Mixture Models

Ling Cai, Yiren Xu, Lei He, Yuming Zhao, Xin Yang. An Effective Segmentation for Noise-Based Image Verification Using Gamma Mixture Models. In Hongbin Zha, Rin-ichiro Taniguchi, Stephen J. Maybank, editors, Computer Vision - ACCV 2009, 9th Asian Conference on Computer Vision, Xi an, China, September 23-27, 2009, Revised Selected Papers, Part III. Volume 5996 of Lecture Notes in Computer Science, pages 21-32, Springer, 2009. [doi]

@inproceedings{CaiXHZY09,
  title = {An Effective Segmentation for Noise-Based Image Verification Using Gamma Mixture Models},
  author = {Ling Cai and Yiren Xu and Lei He and Yuming Zhao and Xin Yang},
  year = {2009},
  doi = {10.1007/978-3-642-12297-2_3},
  url = {http://dx.doi.org/10.1007/978-3-642-12297-2_3},
  tags = {rule-based},
  researchr = {https://researchr.org/publication/CaiXHZY09},
  cites = {0},
  citedby = {0},
  pages = {21-32},
  booktitle = {Computer Vision - ACCV 2009, 9th Asian Conference on Computer Vision, Xi an, China, September 23-27, 2009, Revised Selected Papers, Part III},
  editor = {Hongbin Zha and Rin-ichiro Taniguchi and Stephen J. Maybank},
  volume = {5996},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-642-12296-5},
}