DocumentCode
345954
Title
ICM method for multi-level thresholding using maximum entropy criterion
Author
Luo, Xiping ; Tian, Jie
Author_Institution
AILAB, Acad. Sinica, Beijing, China
fYear
1999
fDate
1999
Firstpage
108
Lastpage
113
Abstract
The maximum entropy approach is one of the most important threshold selection methods. Many authors avoid the computationally prohibitive problem when the maximum entropy criterion is applied to multi-level threshold selection. This paper deals with this problem using the iterated conditional modes (ICM) method. Experiments show ICM can get satisfactory if not optimal results using our initialization algorithm and solve the problem of computation excellently. Also in this paper, we have modified the fuzzy maximum entropy criterion of Cheng et al., (1998). In addition, we compared our ICM method with the simulated annealing algorithm proposed by them
Keywords
fuzzy logic; image processing; iterative methods; maximum entropy methods; ICM method; fuzzy maximum entropy criterion; image processing; initialization algorithm; iterated conditional modes; maximum entropy criterion; multi-level thresholding; threshold selection; Annealing; Automation; Computational modeling; Convergence; Electrical capacitance tomography; Entropy; Histograms; Image processing; Search methods; State-space methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Analysis and Processing, 1999. Proceedings. International Conference on
Conference_Location
Venice
Print_ISBN
0-7695-0040-4
Type
conf
DOI
10.1109/ICIAP.1999.797579
Filename
797579
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