• Corpus ID: 17395123

Contrast enhancement and clustering segmentation of gray level images with quantitative information evaluation

@article{Ye2008ContrastEA,
  title={Contrast enhancement and clustering segmentation of gray level images with quantitative information evaluation},
  author={Zhengmao Ye and Habib Mohamadian and S. S. Pang and S. Sitharama Iyengar},
  journal={WSEAS Transactions on Information Science and Applications archive},
  year={2008},
  volume={5},
  pages={181-188}
}
  • Z. Ye, H. Mohamadian, S. Iyengar
  • Published 1 February 2008
  • Computer Science
  • WSEAS Transactions on Information Science and Applications archive
Improper illumination and medium dispersing could occur in quite some gray level image collecting processes. Contrast enhancement and clustering segmentation are two effective approaches for the related pattern recognition problems. Image enhancement and image segmentation can be applied to different areas of science and engineering, such as biometric identification, national defense and resource exploration. Thus, adaptive image enhancement can be implemented to improve the image quality and… 
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