Random Articles
Reseach Article
An Efficient Method of Edge Detection using Fuzzy Logic
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 77 - Number 15 |
| Year of Publication: 2013 |
| Authors: Jaideep Kaur, Poonam Sethi |
10.5120/13561-1351
|
Jaideep Kaur, Poonam Sethi . An Efficient Method of Edge Detection using Fuzzy Logic. International Journal of Computer Applications. 77, 15 ( September 2013), 27-30. DOI=10.5120/13561-1351
Abstract
Various Edge detection algorithms have been proposed in the literature for extracting the edges from the image. But after emerging the fuzzy logic concept, a lot of Researcher of image processing has been shifted towards the fuzzy logic and its applicability in the field of image processing. This paper presents a fuzzy rule base algorithm, in MATLAB environment, which is capable of detecting edges of an input image by scanning it throughout using a 2*2 pixel window efficiently from the gray scale images. Fuzzy inference system designed has four inputs, which corresponds to four pixels of instantaneous scanning matrix, one output that tells whether the pixel under consideration is "low", "medium" or "high" pixel. Rule base comprises of seven rules, which classify the target pixel. Also, a Graphical User Interface (GUI) in MATLAB has been designed to aid the loading of the image, and to display the resultant image at different intermediate levels of processing. Threshold level for the image can be set from the slider control of GUI. Main feature of the algorithm is that it has been designed by the smallest possible mask with less number of rules i. e. 2*2 with seven rules unlike 3*3 or bigger masks found in the literature.
References
- N. Senthilkumaran and R. Rajesh, "Edge Detection Techniques for Image Segmentation – A Survey of Soft Computing Approaches", International Journal of Recent Trends in Engineering, Vol. 1, No. 2, May 2009.
- Wenshuo Gao, Lei Yang, Xiaoguang Zhang and Huizhong Liu, "An Improved Sobel Edge Detection", IEEE, ICICT 2010.
- Raman Maini and Dr. Himanshu Aggarwal, "Study and Comparison of various Image Edge Detection Techniques", International Journal of Image Processing (IJIP), Vol. 3: Issue(1).
- Hanmandlu Madasu, O. P. Verma, Pankaj Gangwar and Shantaram Vasikarla, "Fuzzy Edge and Corner Detector for Colour Images", Sixth International Conference on Information Technology: New Generations, 2009.
- Milindkumar V. Sarode, Dr. S. A. Ladhake, Dr. Prashant R. Deshmukh, " Fuzzy system for color image enhancement", Bulletin of the Transilvania University of Bra?ov Series I: Engineering Sciences, Vol. 4 (53), No. 1, 2011.
- Wenshuo Gao, Lei Yang, Xiaoguang Zhang and Huizhong Liu, "An Improved Sobel Edge Detection", IEEE, ICICT 2010.
- Olivia Mendoza, Patricia Melin and Guillermo Licea, "A New Method for Edge Detection in Image Processing using Interval Type-2 Fuzzy Logic", IEEE International Conference on Granular Computing, 2007.
- 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.
- Shemil Shajan & Mohamed Fazulur Rahuman. M, " Image Edge Detection using Fuzzy Logic", International Conference on Computing and Control Engineering(ICCCE 2012), 12 & 13 April, 2012.
- M. N. Mahani, M. K. Moqadam, H. N. pour and A. Bahrololoom, "Dynamic Edge Detector Using Fuzzy Logic", CSISS' 2008, Sharif University of Technology, Kish, 2008, (In Persian).
- Jaideep Kaur and Poonam Sethi, "Evaluation of Fuzzy Inference System in Image Processing", International Journal of Computer Applications (0975-8887), Volume 68-No. 22, April 2013.
Index Terms
Keywords