Approach on Fuzzy Shape Context Matching between infrared images and visible images

@inproceedings{Zhe2008ApproachOF,
  title={Approach on Fuzzy Shape Context Matching between infrared images and visible images},
  author={Song Zhe},
  year={2008}
}
To the problem that the matching performance between infrared images and visible images declines sharply due to the quite difference in gray features for pairs of them, an approach on shape contexts was adopted for matching between them based on the property that the object′s shape in pairs of infrared images and visible images was rough similarity. Sampling template was applied to obtain images whose edge features were extracted, point-feature images were gained. And then, a new coordinate was… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-3 OF 3 CITATIONS

A new fuzzy shape context approach based on multi-clue and state reservoir computing

  • 2014 International Joint Conference on Neural Networks (IJCNN)
  • 2014
VIEW 1 EXCERPT
CITES BACKGROUND

A matching algorithm for IR/visual images based on the invariant moment of histogram

  • International Symposium on Multispectral Image Processing and Pattern Recognition
  • 2011