The week's pick
Reseach Article
An Adaptive Edge Detection Algorithm for Images Corrupted with Impulse Noise
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 45 - Number 18 |
| Year of Publication: 2012 |
| Authors: Krishna Kant Singh, Akansha Mehrotra, M. J. Nigam, Kirat Pal |
10.5120/7018-9652
|
Krishna Kant Singh, Akansha Mehrotra, M. J. Nigam, Kirat Pal . An Adaptive Edge Detection Algorithm for Images Corrupted with Impulse Noise. International Journal of Computer Applications. 45, 18 ( May 2012), 21-24. DOI=10.5120/7018-9652
Abstract
Edge detection is one of the most important tasks in the field of image processing. Detection of edges from noisy images is of greater importance as most images obtained are corrupted by impulse noise due to communication and transmission errors. In the proposed work a novel adaptive algorithm for finding edges of noisy images is proposed. One of the major problem with noisy images is that the noise pixels are also detected as edges, so in the proposed algorithm a threshold is used to distinguish between edge pixels and noise pixels. The value of threshold is inversely proportional to the level of details whose edges are detected and makes the algorithm adaptive. A sliding window is taken and the difference of the center pixel with all the pixels of the window whose value is not equal to zero or one is taken, But if the center pixel itself is zero or one then the difference from a noise free median is calculated. The average of the differences is checked against a threshold value. If the average value is above the threshold then it is a edge point otherwise it is noise based on this a binary image showing the edges is obtained
References
- M. I. Rajab, M. S. Woolfson, and S. P. Morgan, "Application of region-based segmentation and neural network edge detection to skin lesions," Computerized Medical Imaging and Graphics, vol. 28, no. 1-2,pp. 61–68, January 2004.
- Z. Hou and T. S. Koh. "Robust Edge Detection". Pattern Recognition,Vol. 36, pp. 2083–2091, 2003.
- Chen juan, Chen qian-hui, Shi lu-huan. Edge Detection Technology in Image Tracking, Chinese Journal of Optics and Applied Optics. Vol. 2. No. 1, pp. 46-53. February 2009.
- Feng-ying Cui , Li-jun Zou and Bei Song , "Edge Feature Extraction Based on digital Image processing techniques,"Proc. IEEE Int'l conference Automation and logistics , Qingdao,China September 2008
- R. Garnett, T. Huegerich, C. Chui, and W. He, "A universal noise removal algorithm with an impulse detector," IEEE Trans. Image Process. , vol. 14, no. 11, pp. 1747–1754, Nov. 2005.
- I. Pitas and A. N. Venetsanopoulos, Nonlinear Digital Filters: Principles and Applications. Norwell, MA: Kluwer, 1990.
- W. K. Pratt, Digital Image Processing. New York: Wiley, 1978.
- I. Pitas and A. N. Venetsanopoulos, "Order statistics in digital image processing," Proc. IEEE, vol. 80, no. 12, pp. 1893–1921, Dec. 1992.
- H. Lin and A. N. Willson Jr. , "Median filters with adaptive length," IEEE Trans. Circuits Syst. , vol. 35, no. 6, pp. 675–690, Jun. 1988.
- G. Pok, J. C. Liu, and A. S. Nair, "Selective removal of impulse noise based on homogeneity level information," IEEE Trans. Image Process. ,vol. 12, no. 1, pp. 85–91, Jan. 2003.
- P. E. Ng and K. K. Ma, "A switching median filter with boundary discriminative noise detection for extremely corrupted images," IEEE Trans. Image Process. , vol. 15, no. 6, pp. 1506–1516, Jun. 2006.
- K. S. Srinivasan and D. Ebenezer, "A new fast and efficient decision based algorithm for removal of high-density impulse noises," IEEE Signal Process. Lett. , vol. 14, no. 3, pp. 189–192, Mar. 2007.
- V. Crnojevic, "Impulse noise filter with adaptive MAD-based threshold," in Proc. Int. Conf. Image Processing, Mar. 2005, pp. 337–340.
- N. Alajlan, M. Kamel, and E. Jernigan, "Detail preserving impulsive noise removal," Signal Process. : Image Commun. , vol. 19, pp. 993–1003, 2004.
- L. Ilzzo and L. Paura, "Error probability for fading CPSK signals in gaussian and impulsive atmospheric noise environments,"IEEE Transactions on Aerospace and ElectronicSystems, vol. 17, no. 5, pp. 719–722, Sep. 1981.
- G. A. Tsihrintzis and C. L. Nikias, "Performance of optimum and suboptimum receivers in the presence of impulsivenoise modeled as an alpha-stable process," IEEE Transactions on Communications, vol. 43, no. 234, pp. 904–914, Feb. /Mar. /Apr. 1995
- L. F. Lind and N. A. Mufti, "Efficient method for modeling impulse noise in a communication system," Electronics Letters, vol. 32, no. 16, pp. 1440–1441, Aug. 1996.
- Krishna Kant Singh, Akansha Mehrotra , Kirat Pal, M. J. Nigam, "A N8(P) Detail Preserving Adaptive Filter For Impulse Noise Removal" ,Proceedings IEEE, 2011 International Conference on Image Information Processing (ICIIP 2011). [19. ] Krishna Kant Singh, Akansha Mehrotra, M. J. Nigam, Kirat Pal, "A Novel Edge Preserving Filter For Impulse Noise Removal" , Proceedings IEEE, IMPACT 2011.
- A. Mehrotra, K. K. Singh , M. J. Nigam and Kirat Pal, "A Novel Algorithm for Impulse Noise Removal and Edge Detection," International Journal of Computer Applications, vol. 38, No. 7, pp. 30-34, 2012.
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