Fuzzy logic based edge detection method for image processing

Moffaq Alawad, Abdulrahman and Abdul Rahman, Farah Diyana and Khalifa, Othman Omran and Abdul Malek, Norun (2018) Fuzzy logic based edge detection method for image processing. International Journal of Electrical and Computer Engineering, 8 (3). pp. 1863-1869. ISSN 2088-8708

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Abstract

Edge detection is the first step in image recognition systems in a digital image processing. An effective way to resolve many information from an image such depth, curves and its surface is by analyzing its edges, because that can elucidate these characteristic when color, texture, shade or light changes slightly. This can lead to misconception image or vision as it based on faulty method. This work presents new fuzzy logic method with an implementation. The objective of this method is to improve the edge detection task. The results are comparable to similar techniques in particular for medical images because it does not take the uncertain part into its account.

Item Type:	Article (Journal)
Additional Information:	5173/63990
Uncontrolled Keywords:	Edge detection, Fuzzy divergence, Fuzzy logic, Image processing, Thresholding
Subjects:	T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User:	Prof. Dr Othman O. Khalifa
Date Deposited:	05 Jun 2018 15:55
Last Modified:	04 Mar 2019 12:21
URI:	http://irep.iium.edu.my/id/eprint/63990

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