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Abdulrahman Moffaq Alawad
International Islamic University Malaysia
Computer Science & IT Electrical & Electronics Engineering

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Fuzzy Logic based Edge Detection Method for Image Processing Abdulrahman Moffaq Alawad; Farah Diyana Abdul Rahman; Othman O. Khalifa; Norun Abdul Malek
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 3: June 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (585.043 KB) | DOI: 10.11591/ijece.v8i3.pp1863-1869

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. Thiscan lead to misconception image or vision as it based on faulty method. This work presentsa new fuzzy logic method with an implemention. 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.
Co-Authors Farah Diyana Abdul Rahman Norun Abdul Malek Othman O. Khalifa