참고문헌 (33)

1. R. C. Gonzalez and R. E. Woods. "Digital Image Processing," 3rd ed. Prentice Hall, 2009. 

2. Jang, J.-S. R., C. T. Sun, and E. Mizutani, "Neuro-fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence," Prentice-Hall, Upper Saddle River, NJ, 1997. 

3. Bhutani, K.R., Battou, A., "An application of fuzzy relations to image enhancement," Pattern Recogn. Lett. 16(9), 901-909, 1995. 

   상세보기

4. Choi, Y., Krishnapuram, R., "A fuzzy-rule-based image enhancement method for medical Applications In Computer-Based Medical Systems," 1995, Proceedings of the Eighth IEEE Symposium on, 9-10 Jun 1995, pp. 75-80, 1995. 

5. Young, S.C., Krishnapuram, R., "A robust approach to image enhancement based on Fuzzy Logic," In IEEE Trans. 6(6), 808-825, 1997. 

6. Friedman, M., Schneider, M., Kandel, A., "The use of weighted fuzzy expected value (WFEV) in fuzzy expert systems," Fuzzy Sets Syst. 31(1), 37-45, 1989. 

   상세보기

7. Pal S.K., King R.A., "Image enhancement using smoothing with fuzzy sets," IEEE Trans. On Syst. Man and Cybern., 11(7): 494-501, 1981. 

   상세보기

8. Tizhoosh, H.R. and Fochem, M., "Fuzzy histogram hyperbolization for image Enhancement," in Proceedings of EUFIT 95, vol.3, Aachen, 1995. 

9. Hanmandlu, M., Jha, D., Sharma, R., "Color image enhancement by fuzzy Intensification," Pattern Recogn. Lett. 24(1-3), 81-87, 2003. 

   상세보기

10. G. Shree Devi and M. Munir Ahamed Rabbani, "Image Contrast Enhancement Using Histogram Equalization with Fuzzy approach on the Neighborhood metrics (FANMHE)," in Proc. of IEEE WiSPNET 2016, 2016. 

11. Hasikin Khairunnisa, Mat Isa N Ashidi, "Adaptive fuzzy contrast factor Enhancement technique for low contrast and nonuniform illumination Images," journal of Signa Image and Video Processing, pp. 1591-1603, vol. 8, 2014. 

    상세보기

12. Sasi Gopalan, S. Arathy, "A New Mathematical Model in Image Enhancement Problem," Procedia Computer Science, pp. 1786-1793, vol-46, 2015. 

    상세보기

13. Russo, F. and Ramponi, G., "Combined FIRE filters for image enhancement," in Proc. of the Third International IEEE Conference on Fuzzy Systems, Orlando, FL, pp. 264-267, 1994. 

14. H. Deng, X. Sun, M. Liu, C. Ye and X. Zhou, "Image enhancement based on intuitionistic fuzzy sets theory," IET Image Processing, vol. 10, no. 10, pp. 701-709, 10 2016. 

    상세보기

15. Russo, F., "Fire operators in image processing," Fuzzy Sets and Systems, 103, 265-275, 1999. 

    상세보기

16. Choi, Y. and Krishnapuram, R., "A robust approach to image enhancement on fuzzy Logic," IEEE Transaction on Image Processing, 6(6), 808-825, 1997. 

    상세보기

17. Hassanien, A.E. and Amr, B., A, "comparative study on digital mammography enhancement algorithm based on fuzzy set theory," Studies in Information and Control, 12(1), 21-31, 2003. 

18. Z. Yao, Z. Lai and C. Wang, "Brightness preserving and non-parametric modified bi-histogram equalization for image enhancement," in Proc. of 2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), Changsha, 2016, pp. 1872-1876, 2016. 

19. Jayong Shin, and Rae-Hong, "Histogram-Based Locality-Preserving Contrast Enhancement," IEEE Signal Processing Letters, vol. 22, No. 9, Sept. 2015. 

    상세보기

20. Schneider, M. and Kandel, A., "Properties of fuzzy expected value and fuzzy expected interval in fuzzy environment," Fuzzy Sets and Systems, 28, 1988. 

21. Schneider, M. and Craig, M., "On the use of fuzzy sets in histogram equalization," Fuzzy Sets, and Systems, 45, 271-278, 1992. 

    상세보기

22. Vlachos, I.K., Sergiadis, G.D., "Intuitionistic fuzzy information-applications to pattern Recognition," Pattern Recogn. Lett. 28(2), 197-206, 2007. 

    상세보기

23. Cheng, H.D.,Chen, J.R., "Automatically determine the membership function based on the maximum entropy principle," Inf. Sci. 96(3-4), 163-182, 1997. 

    상세보기

24. Pal, S.K., "A note on the quantitative measure of image enhancement through Fuzziness," PatternAnal.Mach. Intell. In: IEEE Trans.PAMI 4(2), 204-208, 1982. 

25. Nieradka, G., Butkiewicz, B., "A method for automatic membership function estimation based on fuzzy measures foundations of fuzzy logic and soft computing," Lecture Notes in computer science, vol. 4529, pp. 451-460. Springer, Berlin, 2007. 

26. Cheng,H.D., Xu,H., "A novel fuzzy logic approach to mammogram contrast enhancement," Inf. Sci., 148(1-4), 167-184, 2002. 

    상세보기

27. Vorobel, R., Berehulyak, O., "Gray image contrast enhancement by optimal fuzzy Transformation," Lecture Notes in Computer Science, ICAISC 2006, vol. 4029, pp. 860-869, 2006. 

28. Li, G., Tong, Y., Xiao, X., "Adaptive fuzzy enhancement algorithm of surface image based on local discrimination via grey entropy," Procedia Eng. 15, 1590-1594, 2011. 

    상세보기

29. D.H. Rao, P.P.Panduranga, "A Survey on Image Enhancement Techniques: Classical Spatial Filter, Neural Network, Cellular Neural Network, and Fuzzy," in Proc of Industrial Technology, 2006. ICIT 2006. IEEE International Conference on, IEEE, 2006. 

30. Mamdani, E. H., & Assilian, S., "An experiment in linguistic synthesis with a fuzzy logic Controller," International Journal of Man-Machine Studies, 7(1), 1-13, 1975. 

    상세보기

31. Takagi, T., & Sugeno, M. "Fuzzy identification of systems and its applications to modeling and control," IEEE Transactions on Systems, Man and Cybernetics, 15, 116-132, 1985. 

32. Huynh-Thu, Q.; Ghanbari, M., "Scope of validity of PSNR in image/video qulity assessment," Electronics Letters, 2008. 

33. S. K. Pal, "A Note on the Quantitative Measure of Image Enhancement Through Fuzziness," IEEE Transactions on Pattern Analysis and Machine Intelligence. Pami-4, no. 2, March 1982.