An Edge Detection A lgorithm based on Fuzzy Logic

An Edge Detection A lgorithm based on Fuzzy Logic

  ijett-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2013 by IJETT Journal
Volume-4 Issue-3                       
Year of Publication : 2013
Authors :  Shikha Bharti , Sanjeev Kumar

Citation 

Shikha Bharti , Sanjeev Kumar. "An Edge Detection A lgorithm based on Fuzzy Logic ". International Journal of Engineering Trends and Technology (IJETT). V4(3):289-293 Mar 2013. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Abstract

Edges characterize boundaries and are therefore considered for prime importance in image processing. Edge detection filters out useless data, noise and frequencies while preserving the important structural properties in an image . The proposed method adopts fuzzy reasoning in order to extract edges. Here the scanning of an image using the windowing technique takes place which is subjected to a set of fuzzy conditions . A 2*2 scanning mask is used and the Fuzzy inference system designed has four inputs, which corresponds to four pixels of the scanning matrix, one output that tells whether the pixel under consideration is “edge” or “non - edge” pixel. In this paper, we evaluate the performance of a fuzzy inference system in edge detection. The results for images with high contrast variation are compared to those obtained with the linear Sobel operator.

References

[1] Shashank Mathur, Anil Ahlawat, “Application Of Fuzzy Logic In Image Detection”, International Conference "Intelligent Information and Engineering Systems" INFOS 2008, Varna, Bulgaria, June - July 2008
[2] O. R.Vincentand and O. Folorunso [2009] “A descriptive algorithm for sobel image edge detection ” Proceedings of Informing Science & IT Education Conference (InSITE) 2009
[3] LIANG, Lily, Rui and LOONEY, Carl, G. Competitive fuzzy edge detection. 2003, Applied Soft Computing 3, pp. 123 – 137.
[4] E. Argyle. “ Techniques for edge detection ,” Proc. IEEE , vol. 59, pp. 285 - 286, 1971.
[5] Ayman A. Alyand an d Abdallah A. Alshnnaway [2009], “An edge detection and filtering mechanism of two dimensional digital objects
[6] Tizhoosh [1997], “ Fuzzy Image Processing .” Springer and 1997. based on fuzzy inference” World Academy of Science and Engineering and Technology 53 2009
[7] John Canny. [Nov. 1986], “ A computational approach to edge detection”. Pattern Analysis and Machin e Intelligence and IEEE Transactions on and PAMI - 8(6):679 – 698
[8] Becerikli T. and Anf Karan Y. [2005], “ A new fuzzy approach for edge detection” . In J. Cabestany, A. Prieto, and D. Sandoval,editors, Lecture Notes in Computer Science , volume 3512, Springer - Verlag Berlin Heidelberg, 2005, pp. 943 – 951

Keywords
Image processing, Fuzzy logic, Fuzzy image processing, MATLAB, Edge detection, fuzzy rules, fuzzification, defuzzification