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Improving Digital Image Edge Detection by Fuzzy Systems

Authors: Begol, Moslem, Maghooli, Keivan

Abstract:

Image Edge Detection is one of the most important parts of image processing. In this paper, by fuzzy technique, a new method is used to improve digital image edge detection. In this method, a 3x3 mask is employed to process each pixel by means of vicinity. Each pixel is considered a fuzzy input and by examining fuzzy rules in its vicinity, the edge pixel is specified and by utilizing calculation algorithms in image processing, edges are displayed more clearly. This method shows significant improvement compared to different edge detection methods (e.g. Sobel, Canny).

Keywords: Fuzzy Systems, Edge Detection, Fuzzy edgedetection

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1085786

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References:


[1] Abdallah A. Alshennawy, And Ayman A. Aly, "EDGE DETECTION IN DIGITAL IMAGES USING FUZZY LOGIC TECHNIQUE" . World Academy of Science Engineering and Technology 51 2009. PP 178-186
[2] Wafa barkhoda, Fardin Akhlaqian Tab, Om-Kolsoom Shahryari , "Fuzzy Edge Detection Based on Pixel's Gradient and Standard Deviation Values", Computer Science and Information Technology, 2009. IMCSIT '09.
[3] V. Mittal and M. S. Batra, "Edge Detection Technique By Using Nero Fuzzy System," Proceedings of 2nd National Conference on Challenges & Opportunities in Information Technology (COIT-2008), RIMT-IET, Mandi Gobindgarh. March 29, 2008.
[4] Lu, S., Wang, Z. and Shen, J., Neuro-fuzzy synergism to the intelligent system for edge detection and enhancement. Pattern Recognition. v36 i10. 2395-2409
[5] Suh, I. H. and Kim, T.W, "Fuzzy membership function-based neural networks with applications to the visual servoing of robot manipulators", IEEE Trans. Fuzzy Systems 2(3) (1994), 203-220.
[6] L. Liang and C. Looney, "Competitive Fuzzy Edge Detection," Applied Soft Computing, (3) 123-137, 2003.
[7] R. Gonzalez and R. Wood, "Digital Image Processing", Addison - Wesley, 1992.