Image and Vision Computing
A computational approach for corner and vertex detection
International Journal of Computer Vision
SUSAN—A New Approach to Low Level Image Processing
International Journal of Computer Vision
A secure cryptosystem from palm vein biometrics
Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human
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The corners and vertices are important features in images, which are frequently used for scene analysis, stereo matching and object tracking. Many algorithms for detecting the corners have been developed up to now. In this paper, a new and efficient algorithm is presented. The probability of the event that a point belongs to the approximation of the straight segment of the isoline of brightness containing the corner candidate being tested is determined using the technique of Bayesian estimations, and then used for computing the angle between the segments. The results of the tests show that, in the sense of the successfulness of detection, the new algorithm is better than the other known algorithms that are usually used for solving the problem.