The study of the auto color image segmentation

Jian Zhuang; Haifeng Du; Jinhua Zhang; Sun'an Wang

doi:10.1007/11596981_136

The study of the auto color image segmentation

Jian Zhuang
, Haifeng Du
, Jinhua Zhang
, Sun'an Wang

公共政策与管理学院

Xi'an Jiaotong University

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

3 引用（Scopus）

摘要

Auto image segmentation can segment the image without operators interfering and is an important technique in the image processing. The Boltzmann-Color- Image-Segmentation (BCIS), which could control the degree of segmentation by adjusting the temperature parameter, is designed based on the Boltzmann-theory and the Metropolis-rule in the paper. Then the criterion function of image segmentation, which could balance between the number of segmented region and the affinity of the segmented image with the original image, is presented. Based the BCIS and Criterion function, the auto color image segmentation is schemed out by using the artificial immune algorithm. Experiments showed that the color image segmentation algorithm, which we designed in the paper, had the good capabilities.

源语言	英语
主期刊名	Computational Intelligence and Security - International Conference, CIS 2005, Proceedings
页	923-928
页数	6
DOI	https://doi.org/10.1007/11596981_136
出版状态	已出版 - 2005
活动	International Conference on Computational Intelligence and Security, CIS 2005 - Xi'an, 中国期限: 15 12月 2005 → 19 12月 2005

丛书

姓名	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
卷	3802 LNAI
ISSN（印刷版）	0302-9743
ISSN（电子版）	1611-3349

会议

会议	International Conference on Computational Intelligence and Security, CIS 2005
国家/地区	中国
市	Xi'an
时期	15/12/05 → 19/12/05

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10.1007/11596981_136

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引用此

Zhuang, J., Du, H., Zhang, J., & Wang, S. (2005). The study of the auto color image segmentation. 在 Computational Intelligence and Security - International Conference, CIS 2005, Proceedings (页码 923-928). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 3802 LNAI). https://doi.org/10.1007/11596981_136

@inproceedings{fd5f3b2a2a964b47ba824e9e959e1640,

title = "The study of the auto color image segmentation",

abstract = "Auto image segmentation can segment the image without operators interfering and is an important technique in the image processing. The Boltzmann-Color- Image-Segmentation (BCIS), which could control the degree of segmentation by adjusting the temperature parameter, is designed based on the Boltzmann-theory and the Metropolis-rule in the paper. Then the criterion function of image segmentation, which could balance between the number of segmented region and the affinity of the segmented image with the original image, is presented. Based the BCIS and Criterion function, the auto color image segmentation is schemed out by using the artificial immune algorithm. Experiments showed that the color image segmentation algorithm, which we designed in the paper, had the good capabilities.",

author = "Jian Zhuang and Haifeng Du and Jinhua Zhang and Sun'an Wang",

year = "2005",

doi = "10.1007/11596981\_136",

language = "英语",

isbn = "3540308199",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "923--928",

booktitle = "Computational Intelligence and Security - International Conference, CIS 2005, Proceedings",

note = "International Conference on Computational Intelligence and Security, CIS 2005 ; Conference date: 15-12-2005 Through 19-12-2005",

}

Zhuang, J, Du, H, Zhang, J & Wang, S 2005, The study of the auto color image segmentation. 在 Computational Intelligence and Security - International Conference, CIS 2005, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 卷 3802 LNAI, 页码 923-928, International Conference on Computational Intelligence and Security, CIS 2005, Xi'an, 中国, 15/12/05. https://doi.org/10.1007/11596981_136

The study of the auto color image segmentation. / Zhuang, Jian; Du, Haifeng; Zhang, Jinhua 等.
Computational Intelligence and Security - International Conference, CIS 2005, Proceedings. 2005. 页码 923-928 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 3802 LNAI).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - The study of the auto color image segmentation

AU - Zhuang, Jian

AU - Du, Haifeng

AU - Zhang, Jinhua

AU - Wang, Sun'an

PY - 2005

Y1 - 2005

N2 - Auto image segmentation can segment the image without operators interfering and is an important technique in the image processing. The Boltzmann-Color- Image-Segmentation (BCIS), which could control the degree of segmentation by adjusting the temperature parameter, is designed based on the Boltzmann-theory and the Metropolis-rule in the paper. Then the criterion function of image segmentation, which could balance between the number of segmented region and the affinity of the segmented image with the original image, is presented. Based the BCIS and Criterion function, the auto color image segmentation is schemed out by using the artificial immune algorithm. Experiments showed that the color image segmentation algorithm, which we designed in the paper, had the good capabilities.

AB - Auto image segmentation can segment the image without operators interfering and is an important technique in the image processing. The Boltzmann-Color- Image-Segmentation (BCIS), which could control the degree of segmentation by adjusting the temperature parameter, is designed based on the Boltzmann-theory and the Metropolis-rule in the paper. Then the criterion function of image segmentation, which could balance between the number of segmented region and the affinity of the segmented image with the original image, is presented. Based the BCIS and Criterion function, the auto color image segmentation is schemed out by using the artificial immune algorithm. Experiments showed that the color image segmentation algorithm, which we designed in the paper, had the good capabilities.

UR - https://www.scopus.com/pages/publications/33646826678

U2 - 10.1007/11596981_136

DO - 10.1007/11596981_136

M3 - 会议稿件

AN - SCOPUS:33646826678

SN - 3540308199

SN - 9783540308195

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 923

EP - 928

BT - Computational Intelligence and Security - International Conference, CIS 2005, Proceedings

T2 - International Conference on Computational Intelligence and Security, CIS 2005

Y2 - 15 December 2005 through 19 December 2005

ER -

The study of the auto color image segmentation

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