Abstract
This paper describes a new corner detection algorithm based on the Radon Transform. The basic idea is to find the straight lines in the images and then search for their intersections, which are the corner points of the objects in the images. The Radon Transform is used for detecting the straight lines and the inverse Radon Transform is used for locating the intersection points among the straight lines, and hence determine the corner points. The algorithm was tested on various test images, and the results are compared with well-known algorithms. © Springer-Verlag Berlin Heidelberg 2004.
Cite
CITATION STYLE
Park, S. J., Ahmad, M. B., Seung-Hak, R., Han, S. J., & Park, J. A. (2004). Image corner detection using Radon transform. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3046 LNCS(PART 4), 948–955. https://doi.org/10.1007/978-3-540-24768-5_102
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