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|Title: ||Detection of coconuts location using separability filter and Hough Transform|
|Authors: ||Haniza, Yazid|
Mohamed Rizon, Mohamed Juhari
Ali Yeon, Md Shakaff
Abdul Rahman, Mohd. Saad
|Keywords: ||Edge detection;Circular Hough Transform;Separability filter;Object detection;Image processing;Computer vision;Hough transforms|
|Issue Date: ||14-May-2005|
|Publisher: ||Kolej Universiti Kejuruteraan Utara Malaysia|
|Series/Report no.: ||Proceedings of the 1st International Workshop on Artificial Life and Robotics|
|Abstract: ||In this paper, we develop a technique to determine coconuts location using
separability filter and Hough transform method. Our research involves two sequential steps for solving the coconuts detection and recognition. The first step uses a modified version of the Hough transform method to detect the region of the image that contains a coconut. The Hough transform has been widely used to extract analytical features such as circles, lines and ellipses. The Hough transform method and several modified versions have been known as robust
techniques for curve detection. Before the Hough Transform can be applied, we need edge
detection application to identify significant edge point. The next step uses separability filter that had been proposed by Fukui et al.[8 ] to determine the best coconut candidates.|
|Description: ||Organized by Kolej Universiti Kejuruteraan Utara Malaysia (KUKUM), 14th - 15th May 2005 at Putra Palace Hotel, Kangar, Perlis.|
|Appears in Collections:||Conference Papers|
Ali Yeon, Md Shakaff, Prof. Dr.
Mohd. Rizon Mohamed Juhari, Prof. Ir. Dr.
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