This paper describes a new corner detection algorithm based on the Hough 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 Hough Transform is used for detecting the straight lines and the inverse Hough 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 2005.
CITATION STYLE
Kang, S. K., Choung, Y. C., & Park, J. A. (2005). Image corner detection using Hough Transform. In Lecture Notes in Computer Science (Vol. 3523, pp. 279–286). Springer Verlag. https://doi.org/10.1007/11492542_35
Mendeley helps you to discover research relevant for your work.