Improving Digital Image Edge Detection by Fuzzy Systems
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).
[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.
[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.
@article{"International Journal of Information, Control and Computer Sciences:64822", author = "Begol and Moslem and Maghooli and Keivan", title = "Improving Digital Image Edge Detection by Fuzzy Systems", 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", volume = "5", number = "9", pages = "1073-4", }