ICM method for multi-level thresholding using maximum entropy criterion

Xiping Luo; Jie Tian

doi:10.1109/ICIAP.1999.797579

ICM method for multi-level thresholding using maximum entropy criterion

Xiping Luo
, Jie Tian

CAS - Institute of Automation

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

11 Scopus citations

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.

Original language	English
Title of host publication	Proceedings - International Conference on Image Analysis and Processing, ICIAP 1999
Pages	108-113
Number of pages	6
DOIs	https://doi.org/10.1109/ICIAP.1999.797579
State	Published - 1999
Externally published	Yes
Event	10th International Conference on Image Analysis and Processing, ICIAP 1999 - Venice, Italy Duration: 27 Sep 1999 → 29 Sep 1999

Publication series

Name	Proceedings - International Conference on Image Analysis and Processing, ICIAP 1999

Conference

Conference	10th International Conference on Image Analysis and Processing, ICIAP 1999
Country/Territory	Italy
City	Venice
Period	27/09/99 → 29/09/99

Access to Document

10.1109/ICIAP.1999.797579

Cite this

@inproceedings{729179efda72427fb99b184eb08c34d5,

title = "ICM method for multi-level thresholding using maximum entropy criterion",

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.",

author = "Xiping Luo and Jie Tian",

year = "1999",

doi = "10.1109/ICIAP.1999.797579",

language = "英语",

isbn = "0769500404",

series = "Proceedings - International Conference on Image Analysis and Processing, ICIAP 1999",

pages = "108--113",

booktitle = "Proceedings - International Conference on Image Analysis and Processing, ICIAP 1999",

note = "10th International Conference on Image Analysis and Processing, ICIAP 1999 ; Conference date: 27-09-1999 Through 29-09-1999",

}

Luo, X & Tian, J 1999, ICM method for multi-level thresholding using maximum entropy criterion. in Proceedings - International Conference on Image Analysis and Processing, ICIAP 1999., 797579, Proceedings - International Conference on Image Analysis and Processing, ICIAP 1999, pp. 108-113, 10th International Conference on Image Analysis and Processing, ICIAP 1999, Venice, Italy, 27/09/99. https://doi.org/10.1109/ICIAP.1999.797579

ICM method for multi-level thresholding using maximum entropy criterion. / Luo, Xiping; Tian, Jie.
Proceedings - International Conference on Image Analysis and Processing, ICIAP 1999. 1999. p. 108-113 797579 (Proceedings - International Conference on Image Analysis and Processing, ICIAP 1999).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - ICM method for multi-level thresholding using maximum entropy criterion

AU - Luo, Xiping

AU - Tian, Jie

PY - 1999

Y1 - 1999

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/0009575589

U2 - 10.1109/ICIAP.1999.797579

DO - 10.1109/ICIAP.1999.797579

M3 - 会议稿件

AN - SCOPUS:0009575589

SN - 0769500404

SN - 9780769500409

T3 - Proceedings - International Conference on Image Analysis and Processing, ICIAP 1999

SP - 108

EP - 113

BT - Proceedings - International Conference on Image Analysis and Processing, ICIAP 1999

T2 - 10th International Conference on Image Analysis and Processing, ICIAP 1999

Y2 - 27 September 1999 through 29 September 1999

ER -

ICM method for multi-level thresholding using maximum entropy criterion

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