- Full text PDF available (2)
- This year (1)
- Last 5 years (1)
- Last 10 years (2)
We propose to use hidden Markov models (HMMs) to classify images. Images are modeled by extracting symbols corresponding to 3×3 binary neighborhoods of interest points, and by ordering these symbols by decreasing saliency order , thus obtaining strings of symbols. HMMs are learned from sets of strings modeling classes of images. The method has been tested… (More)
Copyright and Moral Rights for the articles on this site are retained by the individual authors and/or other copyright owners. For more information on Open Research Online's data policy on reuse of materials please consult the policies page.