Complex Zernike Moments Features for Shape-Based Image Retrieval

@article{Li2009ComplexZM,
  title={Complex Zernike Moments Features for Shape-Based Image Retrieval},
  author={Shan Li and M. Lee and Chi-Man Pun},
  journal={IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans},
  year={2009},
  volume={39},
  pages={227-237}
}
  • Shan Li, M. Lee, Chi-Man Pun
  • Published 2009
  • Mathematics, Computer Science
  • IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans
  • Shape is a fundamental image feature used in content-based image-retrieval systems. This paper proposes a robust and effective shape feature, which is based on a set of orthogonal complex moments of images known as Zernike moments (ZMs). As the rotation of an image has an impact on the ZM phase coefficients of the image, existing proposals normally use magnitude-only ZM as the image feature. In this paper, we compare, by using a mathematical form of analysis, the amount of visual information… CONTINUE READING
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