Object Detection using Circular Hough Transform
Mohamed Rizon, Haniza Yazid, Puteh Saad, Ali Yeon Md Shakaff, Abdul Rahman Saad, Masanori Sugisaka, Sazali Yaacob, M. Rozailan Mamat & M. Karthigayan
American Journal of Applied Sciences, Volume 2, Issue 12, pp. 1606–1609 · doi.org/10.3844/ajassp.2005.1606.1609
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.
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Rizon, M., Yazid, H., Saad, P., Shakaff, A. Y. M., Saad, A. R., Sugisaka, M., Yaacob, S., Mamat, M. R. & Karthigayan, M. (2005). Object Detection using Circular Hough Transform. American Journal of Applied Sciences, 2(12), 1606–1609. https://doi.org/10.3844/ajassp.2005.1606.1609
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