IJSER Home >> Journal >> IJSER
International Journal of Scientific and Engineering Research
ISSN Online 2229-5518
ISSN Print: 2229-5518 3    
Website: http://www.ijser.org
scirp IJSER >> Volume 2, Issue 3, March 2011 Edition
Filtering Noise on two dimensional image using Fuzzy Logic Technique
Full Text(PDF, 3000)  PP.  
Anita Pati, V. K. Singh, K. C. Mishra
Filtering Noise, dimensional image
This paper presents one simple and novel technique for removal of impulse noise from corrupted image data. The algorithm involves impulse detection followed by spatial filtering of the corrupted pixels. In this method the presence of impulse noise is detected by a simpler method called a fuzzy logic based technique (FLT). However, the filtering idea is to recover the healthy pixel by the help of neighboring pixels. Sometimes the loss of edges or presence of noise makes the image noisy or blurred in appearance. This fuzzy logic filter is presented through 5 stages. (1)A sliding moving window is constructed to check every pixel of the whole image.(2)Two conditional rule are applied according to the averaging value of the neighboring pixels. (3)some membership functions are generated to improve the intensity of pixel value so that it can be distinguishable.(4) A simpler function is developed for better reorganization and removal of noisy data. (5)The resulted matrix appears with suppression of less no of noise. It is shown that FLT is a preferred method of rejecting impulse noise both in terms of computational complexity and lower residual NSR(noise to signal ratio).
(1) A.K.Jain, Fundamentals of digital Image Processing, Englewood Cliff, N.J. Prentice Hall ,1989. (2) E. Argyle., “Techniques for edge detection”, In Proceedings of the IEEE, vol. 59, pp. 285-286, 1971. (3) Ayman A Aly and Abdallah A. Alshnnaway “an Edge Detection and Filtering Mechanism of Two Dimensional Digital objects Based on Fuzzy inference, World Academy of Science Engineering and Technology 53,2009. . (4) J. L. Homer,”Optical Spatial Filtering with the Least mean Square Error Filter,” Journal of Optical Society of America, 51(5): 553-558, May 1969. (5) T. S. Huang, G. J. Yang and G. Y. Tang, “A Fast Two-Dimensional Median Filtering Algorithm,’’ IEEE Trans. Acoustics, Speech and Signal Processing, ASSP-27(1): 13-18, February 1979. 6) Peli and D. Malah, “A Study of Edge Detection on Algorithms “ Computer Graphics and Image Processing, Vol. 20: 1-21 , 1982. (7) Chanda, B., Chaudhuri, B.B. and Dutta Majumdar, D., “A differentiation/enhancement edge detector and it’s properties”, IEEE Trans. On System, Man and Cybern. SMC- 15: 162-168, 1985. (8) Ziou, D. and S. Tabbone, “Edge detection techniques an overview,” International Journal of Pattern Recognisation Image Analysis,vol.8:537-559,1998. (9) Davis, L. S.,”Edge detection techniques”, Computer Graphics Image Process., vol. 4: 248- 270,1995. (10) .Heath, S. Sarkar, T. Sanocki, and K. W. Bowyer, “ Robust Visual Method for assessing the Relative Performance of Edge Detection Algorithms,” IEEE Trans. Pattern Analysis and Machine Intelligence,19(12): 1338-1359,1997. (11) Umbaugh, S., “ Computer Imaging: Digital Image Processing and Analysis”,India, Prentice Hall of India (2008).

Untitled Page