Granulation based image texture recognition

Zheng Zheng; Hong Hu; Zhongzhi Shi

doi:10.1007/978-3-540-25929-9_82

Granulation based image texture recognition

Zheng Zheng
, Hong Hu
, Zhongzhi Shi

自动化科学与电气工程学院

科研成果: 期刊稿件 › 会议文章 › 同行评审

3 引用（Scopus）

摘要

Granular computing as an enabling technology and as such it cuts across a broad spectrum of disciplines and becomes important to many areas of applications. In this paper, we present our model of information granulation that is more suitable to image recognition. Then, we construct an image granule framework and present a granulation based image texture recognition algorithm. We compare our algorithm with some other algorithms and the results show that our algorithm is effective and efficient.

源语言	英语
页（从-至）	659-664
页数	6
期刊	Lecture Notes in Computer Science
卷	3066
DOI	https://doi.org/10.1007/978-3-540-25929-9_82
出版状态	已出版 - 2004
活动	4th International Conference, RSCTC 2004 - Uppsala, 瑞典期限: 1 6月 2004 → 5 6月 2004

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10.1007/978-3-540-25929-9_82

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abstract = "Granular computing as an enabling technology and as such it cuts across a broad spectrum of disciplines and becomes important to many areas of applications. In this paper, we present our model of information granulation that is more suitable to image recognition. Then, we construct an image granule framework and present a granulation based image texture recognition algorithm. We compare our algorithm with some other algorithms and the results show that our algorithm is effective and efficient.",

author = "Zheng Zheng and Hong Hu and Zhongzhi Shi",

year = "2004",

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TY - JOUR

T1 - Granulation based image texture recognition

AU - Zheng, Zheng

AU - Hu, Hong

AU - Shi, Zhongzhi

PY - 2004

Y1 - 2004

N2 - Granular computing as an enabling technology and as such it cuts across a broad spectrum of disciplines and becomes important to many areas of applications. In this paper, we present our model of information granulation that is more suitable to image recognition. Then, we construct an image granule framework and present a granulation based image texture recognition algorithm. We compare our algorithm with some other algorithms and the results show that our algorithm is effective and efficient.

AB - Granular computing as an enabling technology and as such it cuts across a broad spectrum of disciplines and becomes important to many areas of applications. In this paper, we present our model of information granulation that is more suitable to image recognition. Then, we construct an image granule framework and present a granulation based image texture recognition algorithm. We compare our algorithm with some other algorithms and the results show that our algorithm is effective and efficient.

UR - https://www.scopus.com/pages/publications/9444270440

U2 - 10.1007/978-3-540-25929-9_82

DO - 10.1007/978-3-540-25929-9_82

M3 - 会议文章

AN - SCOPUS:9444270440

SN - 0302-9743

VL - 3066

SP - 659

EP - 664

JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

T2 - 4th International Conference, RSCTC 2004

Y2 - 1 June 2004 through 5 June 2004

ER -

Granulation based image texture recognition

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