A novel approach to image enhancement and thresholding based on fuzzy theory

ICIEA 2007: 2007 Second IEEE Conference on Industrial Electronics and Applications

Volumn , Issue , 2007, Pages 2201-2205

  Shi, Zhen Gang ^a,b   Gao, Li Qun ^a   Wan, Kun ^a  

^a NORTHEASTERN UNIVERSITY   (China)

^b SHENYANG LIGONG UNIVERSITY   (China)

Author keywords

Fuzzy enhancement; Fuzzy entropy; Membership function; Particle swarm optimization (PSO)

Indexed keywords

ALGORITHMS; FUNCTION EVALUATION; IMAGE ENHANCEMENT; OPTIMIZATION; PARAMETER ESTIMATION; PROBABILITY DISTRIBUTIONS;

FUZZY ENHANCEMENT; FUZZY ENTROPY; MATHEMATICAL TOOLS; PARTICLE SWARM OPTIMIZATION (PSO);

FUZZY SETS;

EID: 35248859755     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIEA.2007.4318801     Document Type: Conference Paper

References (15)

1. ASTLEY S M, TAYLOR C J, Combining cues for mammographic abnormalities proc. 1 St British Machine vision conference Oxford UK 253-258, 1990.
2. L.A.Zadeh, Probability measures of fuzzy events, Journal of Mathematical Analysis and Applications 23 (1968) 421-427.
3. S. K. Pal, R.A.King. Image Enhancement Using Fuzzy Sets. Electron. Lett., 1980, 16(9)-376-378
4. J. Han, K. K. Ma. Fuzzy color histogram and its use in color image retrieval. IEEE Transactions on Image Processing . 2002,11(8): 944-952.
5. S.K.Pal, RA.King, On Edge Detection of X-Ray Images Using Fuzzy Sets. IEEE Trans. Patt. Anal and MachineIntell., 1983, PAMI-5(1): 69-77.
6. Dongliang Peng,Tiejun Wu. A Generalized Image Enhancement Algorithm Using Fuzzy Sets and Its Application.. IEEETrans.2002,11(4):820-823.
7. R.C. Gonzalez, R.E. Woods, Digital Image Processing, Addison-Wesley,1993.
8. Castleman KR. Digital Image Processing. Salt Lake City: Prentice Hall International Inc,1996.88-99.
9. H.D. Cheng, Yen-Hung Chen, Ying Sun A novel, fuzzy entropy approach to image enhancement and thresholding. Signal Processing, 75 (1999) 277-301.
10. D.E. Knuth, The Art of Computer Programming, Vol.. 3,Addison-Wesley, 1973.
11. J.M. Zurada, Introduction to Artificial Neural. Systems,West Publishing, MN, 1992.H.D. Cheng et al, / Signal Processing 75 (1999) 277)301 301
12. S. Kirkpatrick, C.D. Gelatt, Jr., M.P. Vecchi, Optimization by simulated annealing, Science 220 (May 1983) 671-680.
13. D.E. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning, Addison-Wesley, 1989.
14. F. van den Bergh, A.P. Engelbrecht. A study of particle swarm optimization particle trajectories. Information Sciences 176 (2006): 937 - 971.
15. X. Li, Z. Zhao, H.D. Cheng, C. Huang, R.W. Harris, Fuzzy logic approach to image segmentation, in: The 12th International Conference on Pattern Recognition, Jerusalem,Israel, October 1994.