Enhancement of optical images using hybrid edge detection technique


Sim, K. S. and Thong, L. W. and Lai, M. A. and Tso, C. P. (2009) Enhancement of optical images using hybrid edge detection technique. In: Conference on Innovative Technologies in Intelligent Systems and Industrial Applications, JUL 25-26, 2009, Kuala Lumpur, MALAYSIA.

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Edge structures which are boundaries of object surfaces are essential image characteristic in computer vision and image processing. As a result, edge detection becomes part of the core feature extraction in many object recognition and digital image applications. This paper presents a new hybrid edge detector that combines the advantages of Prewitt, Sobel and optimized Canny edge detectors to perform edge detection while eliminating their limitations. The optimum Canny edges are obtained through varying the Gaussian filter standard deviation and the threshold value. Simulation results show that the proposed hybrid edge detection method is able to consistently and effectively produce better edge features even in noisy images. Compared to the other three edge detection techniques, the hybrid edge detector has demonstrated its superiority by returning specific edges with less noise.

Item Type: Conference or Workshop Item (Paper)
Subjects: T Technology > T Technology (General)
Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 23 Sep 2011 08:25
Last Modified: 23 Sep 2011 08:25
URII: http://shdl.mmu.edu.my/id/eprint/1909


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