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Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/11349
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| Title: | Object detection using circular hough transform |
| Authors: | Mohamed Rizon Haniza, Yazid Puteh, Saad Ali Yeon, Md Shakaff, Prof. Dr. Abdul Rahman, Saad Sugisaka, Masanori Sazali, Yaacob, Prof. Dr. M. Rozailan, Mamat Karthigayan, M. |
| Keywords: | Separability filter Circular hough transform Edge detection Mathematical morphology |
| Issue Date: | 2005 |
| Publisher: | Science Publications |
| Citation: | American Journal of Applied Sciences, vol. 2(12), 2005, 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. |
| Description: | Link to publisher's homepage at http://www.scipub.org/ |
| URI: | http://www.scipub.org/fulltext/ajas/ajas2121606-1609.pdf http://hdl.handle.net/123456789/11349 |
| ISSN: | 1546-9239 |
| Appears in Collections: | Mohd. Rizon Mohamed Juhari, Prof. Ir. Dr. Sazali Yaacob, Prof. Dr. Ali Yeon, Md Shakaff, Prof. Dr. School of Computer and Communication Engineering (Articles)
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