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Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/6871

Title: A comparison of circular object detection using Hough transform and chord intersection
Authors: Mohamed Rizon, Mohamed Juhari
Haniza, Yazid
Puteh, Saad
Keywords: Chord intersection;Circular hough transform;Hough transforms;Object detection;Image processing;Computer vision
Issue Date: Jul-2007
Publisher: Institute of Eelectrical and Electronics Engineering (IEEE)
Citation: p.115-120
Series/Report no.: Proceedings of the Geometric Modelling and Imaging (GMAI 2007)
Abstract: In this paper, the circular Hough transform (CHT) and the chord intersection have been used to find the circular object in the feature extraction process. The chord intersection technique does not require any gradient information which may be sensitive to noise meanwhile for the CHT technique, the gradient information has been used. In this research, the coconut was selected as the object of interest. 40 images have been experimented to evaluate the performance of the techniques and the detection rate for the CHT is 92.5% and 85% for the chord intersection technique. The average computational time for chord intersection technique is 0.1495s by CPU (AMD Athlon 64×2 Dual core 3800) 2GHz meanwhile CHT consumed more time, 2.3871s in detecting the circular pattern.
Description: Link to publisher's homepage at http://ieeexplore.ieee.org
URI: http://ieeexplore.ieee.org/xpls/abs_all.jsp?=&arnumber=4271730
http://hdl.handle.net/123456789/6871
ISBN: 0-7695-2901-1
Appears in Collections:Haniza Yazid, Dr.
School of Mechatronic Engineering (Articles)
Mohd. Rizon Mohamed Juhari, Prof. Ir. Dr.

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