American Journal of Applied Sciences

Object Detection using Circular Hough Transform

Mohamed Rizon, Haniza Yazid, Puteh Saad, Ali Y.M. Shakaff, Abdul R. Saad, Masanori Sugisaka, Sazali Yaacob, M. R. Mamat and M. Karthigayan

DOI : 10.3844/ajassp.2005.1606.1609

American Journal of Applied Sciences

Volume 2, Issue 12

Pages 1606-1609

Abstract

In this study we propose a new system to detect the object from an input image. The proposed system first uses the separability filter proposed by Fukui and Yamaguchi (Trans. IEICE Japan J80-D-II. 8, 2170-2177, 1997) to obtain the best object candidates and next, the system uses the Circular Hough Transform (CHT) to detect the presence of circular shape. The main contribution of this work consists of using together two different techniques in order to take advantages from the peculiarity of each of them. As the results of the experiments, the object detection rate of the proposed system was 96% for 25 images by moving the circle template every 20 pixels to right and down.

Copyright

© 2005 Mohamed Rizon, Haniza Yazid, Puteh Saad, Ali Y.M. Shakaff, Abdul R. Saad, Masanori Sugisaka, Sazali Yaacob, M. R. Mamat and M. Karthigayan. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.