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.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Beaudet, P.R.: Rotationally invariant image operators. In: Proc. Fourth Int. Joint Conf. on Pattern Recognition, Tokyo (1978) 579–583
Deriche, R., Giraudon, G.: A computational approach for corner and vertex detection. Int. J. Computer Vision 10 (1993) 101–124
Harris, C.G., Stephens, M.: A combined corner and edge detector. In: Proc. 4th Alvey Vision Conf., Manchester (1988) 189–192
Kitchen, L., Rosenfeld, A.: Gray-level corner detection. Pattern Recognition Letters 1 (1982) 95–102
Noble, J.A.: Finding corners. Image and Vision Computing 6 (1988) 121–128
Smith, S.M., Brady, J.M.: SUSAN-A new approach to low level image processing. Int. J. Computer Vision 23 (1997) 45–78
Sojka, E.: A new algorithm for detecting corners in digital images. Technical Report 2002-02, Dept. Comp. Science, TU Ostrava, Czech Rep. (2002) 29 pages, also available at http://www.cs.vsb.cz/~soj10/cordet/presentation.html
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Sojka, E. (2002). A New and Efficient Algorithm for Detecting the Corners in Digital Images. In: Van Gool, L. (eds) Pattern Recognition. DAGM 2002. Lecture Notes in Computer Science, vol 2449. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45783-6_16
Download citation
DOI: https://doi.org/10.1007/3-540-45783-6_16
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-44209-7
Online ISBN: 978-3-540-45783-1
eBook Packages: Springer Book Archive