A new and efficient algorithm for detecting the corners in digital images

Abstract

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. © Springer-Verlag Berlin Heidelberg 2002.