An efficient texture feature extraction algorithm for arbitrary-shaped regions

Ying Liu; Wei-Ying Ma; Dengsheng Zhang; Guojun Lu

doi:10.1109/icosp.2004.1441499

An efficient texture feature extraction algorithm for arbitrary-shaped regions

Ying Liu
, Wei-Ying Ma
, Dengsheng Zhang
, Guojun Lu

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

3 Citations (Scopus)

Abstract

Region-based image retrieval has been an active research area. Texture is one of the important features to describe regions. In this paper, an efficient texture feature extraction algorithm for arbitrary-shaped regions is presented. With a proper initial padding used, the algorithm first extends an arbitrary-shaped region into a rectangular area onto which block transformation can be applied. Then a set of coefficients are selected, from which texture feature of the region can be extracted. Experimental results demonstrate the effectiveness of the proposed algorithm in texture feature extraction from arbitrary-shaped regions for image retrieval purposes. And it is shown that a proper initial padding is the key to the performance of the algorithm.
© 2004 IEEE

Original language	English
Title of host publication	2004 7th International Conference on Signal Processing Proceedings (ICSP'04)
Pages	1037-1040
Volume	2
DOIs	https://doi.org/10.1109/icosp.2004.1441499
Publication status	Published - 2004
Externally published	Yes
Event	2004 7th International Conference on Signal Processing Proceedings (ICSP'04) - Beijing, China Duration: 31 Aug 2004 → 4 Sept 2004

Publication series

Name	International Conference on Signal Processing Proceedings, ICSP
Volume	2

Conference

Conference	2004 7th International Conference on Signal Processing Proceedings (ICSP'04)
Place	China
City	Beijing
Period	31/08/04 → 4/09/04

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Research Keywords

Arbitrary shaped-region
Padding
Texture feature

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10.1109/icosp.2004.1441499

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@inproceedings{ecc852accc7b43669988a506786fcd5e,

title = "An efficient texture feature extraction algorithm for arbitrary-shaped regions",

abstract = "Region-based image retrieval has been an active research area. Texture is one of the important features to describe regions. In this paper, an efficient texture feature extraction algorithm for arbitrary-shaped regions is presented. With a proper initial padding used, the algorithm first extends an arbitrary-shaped region into a rectangular area onto which block transformation can be applied. Then a set of coefficients are selected, from which texture feature of the region can be extracted. Experimental results demonstrate the effectiveness of the proposed algorithm in texture feature extraction from arbitrary-shaped regions for image retrieval purposes. And it is shown that a proper initial padding is the key to the performance of the algorithm. {\textcopyright} 2004 IEEE",

keywords = "Arbitrary shaped-region, Padding, Texture feature",

author = "Ying Liu and Wei-Ying Ma and Dengsheng Zhang and Guojun Lu",

note = "Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].; 2004 7th International Conference on Signal Processing Proceedings (ICSP'04) ; Conference date: 31-08-2004 Through 04-09-2004",

year = "2004",

doi = "10.1109/icosp.2004.1441499",

language = "English",

volume = "2",

series = "International Conference on Signal Processing Proceedings, ICSP",

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booktitle = "2004 7th International Conference on Signal Processing Proceedings (ICSP'04)",

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Liu, Y, Ma, W-Y, Zhang, D & Lu, G 2004, An efficient texture feature extraction algorithm for arbitrary-shaped regions. in 2004 7th International Conference on Signal Processing Proceedings (ICSP'04). vol. 2, International Conference on Signal Processing Proceedings, ICSP, vol. 2, pp. 1037-1040, 2004 7th International Conference on Signal Processing Proceedings (ICSP'04), Beijing, China, 31/08/04. https://doi.org/10.1109/icosp.2004.1441499

An efficient texture feature extraction algorithm for arbitrary-shaped regions. / Liu, Ying; Ma, Wei-Ying; Zhang, Dengsheng et al.
2004 7th International Conference on Signal Processing Proceedings (ICSP'04). Vol. 2 2004. p. 1037-1040 (International Conference on Signal Processing Proceedings, ICSP; Vol. 2).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - An efficient texture feature extraction algorithm for arbitrary-shaped regions

AU - Liu, Ying

AU - Ma, Wei-Ying

AU - Zhang, Dengsheng

AU - Lu, Guojun

N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

PY - 2004

Y1 - 2004

N2 - Region-based image retrieval has been an active research area. Texture is one of the important features to describe regions. In this paper, an efficient texture feature extraction algorithm for arbitrary-shaped regions is presented. With a proper initial padding used, the algorithm first extends an arbitrary-shaped region into a rectangular area onto which block transformation can be applied. Then a set of coefficients are selected, from which texture feature of the region can be extracted. Experimental results demonstrate the effectiveness of the proposed algorithm in texture feature extraction from arbitrary-shaped regions for image retrieval purposes. And it is shown that a proper initial padding is the key to the performance of the algorithm. © 2004 IEEE

AB - Region-based image retrieval has been an active research area. Texture is one of the important features to describe regions. In this paper, an efficient texture feature extraction algorithm for arbitrary-shaped regions is presented. With a proper initial padding used, the algorithm first extends an arbitrary-shaped region into a rectangular area onto which block transformation can be applied. Then a set of coefficients are selected, from which texture feature of the region can be extracted. Experimental results demonstrate the effectiveness of the proposed algorithm in texture feature extraction from arbitrary-shaped regions for image retrieval purposes. And it is shown that a proper initial padding is the key to the performance of the algorithm. © 2004 IEEE

KW - Arbitrary shaped-region

KW - Padding

KW - Texture feature

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U2 - 10.1109/icosp.2004.1441499

DO - 10.1109/icosp.2004.1441499

M3 - RGC 32 - Refereed conference paper (with host publication)

VL - 2

T3 - International Conference on Signal Processing Proceedings, ICSP

SP - 1037

EP - 1040

BT - 2004 7th International Conference on Signal Processing Proceedings (ICSP'04)

T2 - 2004 7th International Conference on Signal Processing Proceedings (ICSP'04)

Y2 - 31 August 2004 through 4 September 2004

ER -

An efficient texture feature extraction algorithm for arbitrary-shaped regions

Abstract

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Research Keywords

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