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Corner Detection Using Mutual Information
Ibrahim Guelzim, Ahmed Hammouch, Aboutajdine Driss
Pages - 101 - 108     |    Revised - 31-03-2011     |    Published - 04-04-2011
Volume - 5   Issue - 1    |    Publication Date - March / April 2011  Table of Contents
Computer Vision, Corner Detection, Mutual Information, Point of Interest, Entropy
This work presents a new method of corner detection based on mutual information and invariant to image rotation. The use of mutual information, which is a universal similarity measure, has the advantage of avoiding the derivation which amplifies the effect of noise at high frequencies. In the context of our work, we use mutual information normalized by entropy. The tests are performed on grayscale images.
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Mr. Ibrahim Guelzim
Laboratry GSCM-LRIT - Morocco
Professor Ahmed Hammouch
- Morocco
Professor Aboutajdine Driss
- Morocco