Image segmentation by three-level thresholding based on maximum fuzzy entropy and genetic algorithm

Pattern Recognition Letters

Volumn 24, Issue 16, 2003, Pages 3069-3078

  Tao, Wen Bing ^a   Tian, Jin Wen ^a   Liu, Jian ^a  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Fuzzy entropy; Genetic algorithm; Image segmentation; Probability partition

Indexed keywords

GENETIC ALGORITHMS; IMAGE SEGMENTATION; MEMBERSHIP FUNCTIONS; PROBABILITY;

FUZZY ENTROPY;

PATTERN RECOGNITION;

FUZZY MATHEMATICS; GENETIC ALGORITHM; IMAGE PROCESSING; SEGMENTATION;

EID: 0142088890     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-8655(03)00166-1     Document Type: Article

References (23)

1. Abutaleb A.S. Automatic thresholding of gray-level pictures using two-dimensional entropy Comput. Vision Graphics Image Process. 47 1989 22-32
2. Ansari N. Chen M. Hou E. A genetic algorithm for point pattern matching Soucek B. Dynamic, Genetic, and Chaotic Programming 1992 353-371 Wiley New York
3. Bebis G. Louis S. Varol Y. Yfantis A. Genetic object recognition using combination views IEEE Trans. Evolut. 6 2 2002 132-146
4. Bhandarkar S.M. Zhang H. Image segmentation using evolutionary computation IEEE Trans. Evolut. Comput. 3 1 1999 1-21
5. Bhanu B. Lee S. Ming J. Adaptive image segmentation using a genetic algorithm IEEE Trans. Systems Man Cybernet. 25 12 1995 1543-1567
6. Brink A. Maximum entropy segmentation based on the autocorrelation function of the image histogram J. Comput. Inform. Technol. 2 1994 77-85
7. Cheng H.D. Chen J. Li J. Fuzzy homogeneity approach to multilevel thresholding IEEE Trans. Image Process. 7 7 1998 1084-1088
8. Cheng H.D. Chen Y.H. Sun Y. A novel fuzzy entropy approach to image enhancement and thresholding Signal Process. 75 1999 277-301
9. Cheng H.D. Chen Y.H. Jiang X.H. Thresholding using two-dimensional histogram and fuzzy entropy principle IEEE Trans. Image Process. 9 4 2000 732-735
10. Goldberg D.E. Genetic Algorithms in Search, Optimization and Machine Learning 1989 Addison-Wesley
11. Kapur J.N. Sahoo P.K. Wong A.K.C. A new method for gray-level picture thresholding using the entropy of the histogram Comput. Vision Graphics Image Process. 29 1985 273-285
12. Luca A.D. Termini S. Definition of a non probabilistic entropy in the setting of fuzzy sets theory Inf. contr. 20 1972 301-315
13. Minami M. Agbanhan J. Asakura T. Robust scene recognition using a GA and real-world raw-image Measurement 29 2001 249-267
14. Pal N.R. Pal S.K. Entropy thresholding Signal Process. 16 1989 97-108
15. Pal N.R. Pal S.K. Entropy: A new definition and its applications IEEE Trans. Systems Man Cybernet. 21 1991 1260-1270
16. Pal N.R. Pal S.K. A review on image segmentation techniques Pattern Recognition 26 1993 1277-1294
17. Pun T. A new method for gray-level picture thresholding using the entropy of the histogram Signal Process. 2 1980 223-237
18. Roth G. Levine M. Geometric primitive extraction using a genetic algorithm IEEE Trans. Pattern Anal. Machine Intell. 16 9 1994 906-910
19. Sahoo P.K. Solutani S. Wong A.K.C. A survey of thresholding techniques Comput. Vision Graphics Image Process. 41 1988 233-260
20. Schmitt L.M. Theory of genetic algorithms Theoret. Comput. Sci. 259 1-2 2001 1-61
21. Soodamani R. Liu Z.Q. GA-based learning for a model-based object recognition system Internat. J. Approx. Reason. 23 2000 85-109
22. Wong A.K.C. Sahoo P.K. A gray-level threshold selection method based on maximum entropy principle IEEE Trans. Systems Man Cybernet. 19 1989 866-871
23. Zhao M.S. Fu A.M.N. Yan H. A technique of three-level thresholding based on probability partition and fuzzy 3-partition IEEE Trans. Fuzzy Systems 9 3 2001 469-479