A novel shape-based image classification method by featuring radius histogram of dilating discs filled into regular and irregular shapes

Xiaoyu Zhao; Chi Xu; Zheru Chi; Dagan Feng

doi:10.1007/978-3-642-17537-4_30

A novel shape-based image classification method by featuring radius histogram of dilating discs filled into regular and irregular shapes

Xiaoyu Zhao, Chi Xu, Zheru Chi, Dagan Feng

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

Abstract

In this paper, a novel feature for shape-based image classification is proposed, in which a set of randomly dilating discs are distributed on an unknown regular or irregular shape, and the radius histogram of discs is used to represent the target shape. By such doing, a shape can be modeled by the radius histogram. The proposed feature is rather effective for shape retrieval with rotation and scaling invariance. The proposed feature is particularly effective in the retrieval of string-linked objects in which conventional approaches may fail badly. Experimental results on seven shapes and string-linked objects show that our proposed new feature is very effective in shape classification and shape-based image retrieval.

Original language	English
Title of host publication	Neural Information Processing
Subtitle of host publication	Theory and Algorithms - 17th International Conference, ICONIP 2010, Proceedings
Pages	239-246
Number of pages	8
Edition	PART 1
DOIs	https://doi.org/10.1007/978-3-642-17537-4_30
Publication status	Published - 21 Dec 2010
Event	17th International Conference on Neural Information Processing, ICONIP 2010 - Sydney, NSW, Australia Duration: 22 Nov 2010 → 25 Nov 2010

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 1
Volume	6443 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	17th International Conference on Neural Information Processing, ICONIP 2010
Country/Territory	Australia
City	Sydney, NSW
Period	22/11/10 → 25/11/10

Keywords

dilating discs
radius histogram
shape classification
shape feature
shape-based image retrieval

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

More information

10.1007/978-3-642-17537-4_30

Cite this

Zhao, X., Xu, C., Chi, Z., & Feng, D. (2010). A novel shape-based image classification method by featuring radius histogram of dilating discs filled into regular and irregular shapes. In Neural Information Processing: Theory and Algorithms - 17th International Conference, ICONIP 2010, Proceedings (PART 1 ed., pp. 239-246). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6443 LNCS, No. PART 1). https://doi.org/10.1007/978-3-642-17537-4_30

Zhao, Xiaoyu ; Xu, Chi ; Chi, Zheru et al. / A novel shape-based image classification method by featuring radius histogram of dilating discs filled into regular and irregular shapes. Neural Information Processing: Theory and Algorithms - 17th International Conference, ICONIP 2010, Proceedings. PART 1. ed. 2010. pp. 239-246 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).

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abstract = "In this paper, a novel feature for shape-based image classification is proposed, in which a set of randomly dilating discs are distributed on an unknown regular or irregular shape, and the radius histogram of discs is used to represent the target shape. By such doing, a shape can be modeled by the radius histogram. The proposed feature is rather effective for shape retrieval with rotation and scaling invariance. The proposed feature is particularly effective in the retrieval of string-linked objects in which conventional approaches may fail badly. Experimental results on seven shapes and string-linked objects show that our proposed new feature is very effective in shape classification and shape-based image retrieval.",

keywords = "dilating discs, radius histogram, shape classification, shape feature, shape-based image retrieval",

author = "Xiaoyu Zhao and Chi Xu and Zheru Chi and Dagan Feng",

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Zhao, X, Xu, C, Chi, Z & Feng, D 2010, A novel shape-based image classification method by featuring radius histogram of dilating discs filled into regular and irregular shapes. in Neural Information Processing: Theory and Algorithms - 17th International Conference, ICONIP 2010, Proceedings. PART 1 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 6443 LNCS, pp. 239-246, 17th International Conference on Neural Information Processing, ICONIP 2010, Sydney, NSW, Australia, 22/11/10. https://doi.org/10.1007/978-3-642-17537-4_30

A novel shape-based image classification method by featuring radius histogram of dilating discs filled into regular and irregular shapes. / Zhao, Xiaoyu; Xu, Chi; Chi, Zheru et al.
Neural Information Processing: Theory and Algorithms - 17th International Conference, ICONIP 2010, Proceedings. PART 1. ed. 2010. p. 239-246 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6443 LNCS, No. PART 1).

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AB - In this paper, a novel feature for shape-based image classification is proposed, in which a set of randomly dilating discs are distributed on an unknown regular or irregular shape, and the radius histogram of discs is used to represent the target shape. By such doing, a shape can be modeled by the radius histogram. The proposed feature is rather effective for shape retrieval with rotation and scaling invariance. The proposed feature is particularly effective in the retrieval of string-linked objects in which conventional approaches may fail badly. Experimental results on seven shapes and string-linked objects show that our proposed new feature is very effective in shape classification and shape-based image retrieval.

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Zhao X, Xu C, Chi Z, Feng D. A novel shape-based image classification method by featuring radius histogram of dilating discs filled into regular and irregular shapes. In Neural Information Processing: Theory and Algorithms - 17th International Conference, ICONIP 2010, Proceedings. PART 1 ed. 2010. p. 239-246. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). doi: 10.1007/978-3-642-17537-4_30

A novel shape-based image classification method by featuring radius histogram of dilating discs filled into regular and irregular shapes

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