Improved Bag of Feature for Automatic Polyp Detection in Wireless Capsule Endoscopy Images

@article{Yuan2016ImprovedBO,
  title={Improved Bag of Feature for Automatic Polyp Detection in Wireless Capsule Endoscopy Images},
  author={Yixuan Yuan and Baopu Li and Max Q.-H. Meng},
  journal={IEEE Transactions on Automation Science and Engineering},
  year={2016},
  volume={13},
  pages={529-535}
}
  • Yixuan Yuan, Baopu Li, Max Q.-H. Meng
  • Published 2016
  • Computer Science
  • IEEE Transactions on Automation Science and Engineering
  • Wireless capsule endoscopy (WCE) needs computerized method to reduce the review time for its large image data. In this paper, we propose an improved bag of feature (BoF) method to assist classification of polyps in WCE images. Instead of utilizing a single scale-invariant feature transform (SIFT) feature in the traditional BoF method, we extract different textural features from the neighborhoods of the key points and integrate them together as synthetic descriptors to carry out classification… CONTINUE READING

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