The week's pick
Random Articles
Reseach Article
Preprocessing Methods to Remove Impulse Noise in Avian Pox affected Hen Image using Image Processing
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 98 - Number 20 |
| Year of Publication: 2014 |
| Authors: C. Hemalatha, S. Muruganand, R. Maheswaran |
10.5120/17298-7728
|
C. Hemalatha, S. Muruganand, R. Maheswaran . Preprocessing Methods to Remove Impulse Noise in Avian Pox affected Hen Image using Image Processing. International Journal of Computer Applications. 98, 20 ( July 2014), 18-21. DOI=10.5120/17298-7728
Abstract
The main objective of this paper is to discuss the preprocessing method involved in the identification of avian pox disease in poultry farm. Due to the acquisition of the hen images and lighting variations noise can affect the images. Preprocessing is the first and very important step in image processing, after preprocessing we can do analysis in that image for future work. In this paper, impulse noise are removed using active filters. Mean filter, median filter and wiener filters are used for removing the noise. The performance evolution tests are made using Mean Square Error and Peak Signal to Noise Ratio. Based on the evolution test among the three filters median filter removes the impulse noise than the other filters.
References
- U. S. Department of Agriculture, "International Egg and Poultry Review", VOL. 14, No. 34, 2011, August.
- R. C. Gonzalez, R. E. Woods, Digital Image Processing, Prentice-Hall, EnglewoodCliffs, NJ, 2002.
- D. Brownrigg, "The Weighted median filter, "Commun. Assoc. Computer, pp. 807-818, Mar. 1984.
- S. J. Ko and Y. H. Lee. "Centre weighted median filters and their applications to image enhancement," IEEE Trans Circuits Syst. Vol. 38, no. 9, pp. 984–993,1991.
- S. Kalavathy and R. M. Suresh. , "A Switching Weighted Adaptive Median Filter for Impulse Noise Removal," International Journal of Computer Applications,. vol. 28, no. 9 pp:8-13, August 2011
- T. Chen, K. K. Ma, and Chen L. H. , " Tri- State median filter for image denoising , "IEEE Trans. Image Process. , vol. 8, no. 12, pp. 1834-1838, Dec. 1999.
- F. Russo and G. Ramponi, "A fuzzy filter for images corrupted by impulse noise," IEEE Signal Process Lett, vol. 3, no. 6, pp. 168-170, 1996.
- C. S. Lee, Y. H. Kuo, and P. T. Yu, "Weighted fuzzy mean filters for image processing," Fuzzy Sets Syst. , no. 89, pp. 157–180, 1997.
- F. Farbiz and M. B. Menhaj, "Fuzzy Techniques in Image Processing," Studies in Fuzziness and Soft Computing, ch. A fuzzy logic control based approach for image filtering, New York: Springer-Verlag, 2000, vol. 52, pp. 194–221.
- F. Russo, "Recent advances in fuzzy techniques for image enhancement," IEEE Trans. Instrum. Meas, vol. 47, pp. 1428-1434, Dec. 1998.
- F. Russo, "Evolutionary neural fuzzy systems for data filtering," IEEE Instrumentation and Measurement Tech. Conf. (IMTC/98) pp. 826-830, St. Paul, MN , USA, May 18-21, 1998.
Index Terms
Keywords