Rotation- and scale-invariant texture classification using slide matching of the Gabor feature

Kam Keung Fung; Kin Man Lam

doi:10.1109/ISPACS.2009.5383788

Rotation- and scale-invariant texture classification using slide matching of the Gabor feature

The Hong Kong Polytechnic University

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

4 Citations (Scopus)

Abstract

This paper proposes a set of efficient algorithms for rotation- and scale-invariant texture classification. This set is based on the well established Gabor feature. A circular sum of the Gabor feature elements belonging to the same scale is proposed to reduce the effect of rotation, while a slide matching of augmented scales is proposed to address the effect of scaling. The resulting feature vector is more compact, and the distance measure requires less computation. Experimental results indicate that this algorithm is effective for classifying texture images under different scales and rotations.

Original language	English
Title of host publication	ISPACS 2009 - 2009 International Symposium on Intelligent Signal Processing and Communication Systems, Proceedings
Pages	521-524
Number of pages	4
DOIs	https://doi.org/10.1109/ISPACS.2009.5383788
Publication status	Published - 1 Dec 2009
Event	2009 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2009 - Kanazawa, Japan Duration: 7 Dec 2009 → 9 Dec 2009

Conference

Conference	2009 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2009
Country/Territory	Japan
City	Kanazawa
Period	7/12/09 → 9/12/09

Keywords

Feature extraction
Gabor filters
Image retrieval
Scale and rotation invariance

ASJC Scopus subject areas

Computer Networks and Communications
Signal Processing
Electrical and Electronic Engineering
Communication

More information

10.1109/ISPACS.2009.5383788

Cite this

@inproceedings{265e7e2ea860487b9ed254e78223936a,

title = "Rotation- and scale-invariant texture classification using slide matching of the Gabor feature",

abstract = "This paper proposes a set of efficient algorithms for rotation- and scale-invariant texture classification. This set is based on the well established Gabor feature. A circular sum of the Gabor feature elements belonging to the same scale is proposed to reduce the effect of rotation, while a slide matching of augmented scales is proposed to address the effect of scaling. The resulting feature vector is more compact, and the distance measure requires less computation. Experimental results indicate that this algorithm is effective for classifying texture images under different scales and rotations.",

keywords = "Feature extraction, Gabor filters, Image retrieval, Scale and rotation invariance",

author = "Fung, {Kam Keung} and Lam, {Kin Man}",

year = "2009",

month = dec,

day = "1",

doi = "10.1109/ISPACS.2009.5383788",

language = "English",

isbn = "9781424450169",

pages = "521--524",

booktitle = "ISPACS 2009 - 2009 International Symposium on Intelligent Signal Processing and Communication Systems, Proceedings",

note = "2009 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2009 ; Conference date: 07-12-2009 Through 09-12-2009",

}

Fung, KK & Lam, KM 2009, Rotation- and scale-invariant texture classification using slide matching of the Gabor feature. in ISPACS 2009 - 2009 International Symposium on Intelligent Signal Processing and Communication Systems, Proceedings., 5383788, pp. 521-524, 2009 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2009, Kanazawa, Japan, 7/12/09. https://doi.org/10.1109/ISPACS.2009.5383788

Rotation- and scale-invariant texture classification using slide matching of the Gabor feature. / Fung, Kam Keung; Lam, Kin Man.
ISPACS 2009 - 2009 International Symposium on Intelligent Signal Processing and Communication Systems, Proceedings. 2009. p. 521-524 5383788.

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

TY - GEN

T1 - Rotation- and scale-invariant texture classification using slide matching of the Gabor feature

AU - Fung, Kam Keung

AU - Lam, Kin Man

PY - 2009/12/1

Y1 - 2009/12/1

N2 - This paper proposes a set of efficient algorithms for rotation- and scale-invariant texture classification. This set is based on the well established Gabor feature. A circular sum of the Gabor feature elements belonging to the same scale is proposed to reduce the effect of rotation, while a slide matching of augmented scales is proposed to address the effect of scaling. The resulting feature vector is more compact, and the distance measure requires less computation. Experimental results indicate that this algorithm is effective for classifying texture images under different scales and rotations.

AB - This paper proposes a set of efficient algorithms for rotation- and scale-invariant texture classification. This set is based on the well established Gabor feature. A circular sum of the Gabor feature elements belonging to the same scale is proposed to reduce the effect of rotation, while a slide matching of augmented scales is proposed to address the effect of scaling. The resulting feature vector is more compact, and the distance measure requires less computation. Experimental results indicate that this algorithm is effective for classifying texture images under different scales and rotations.

KW - Feature extraction

KW - Gabor filters

KW - Image retrieval

KW - Scale and rotation invariance

UR - http://www.scopus.com/inward/record.url?scp=77949905442&partnerID=8YFLogxK

U2 - 10.1109/ISPACS.2009.5383788

DO - 10.1109/ISPACS.2009.5383788

M3 - Conference article published in proceeding or book

SN - 9781424450169

SP - 521

EP - 524

BT - ISPACS 2009 - 2009 International Symposium on Intelligent Signal Processing and Communication Systems, Proceedings

T2 - 2009 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2009

Y2 - 7 December 2009 through 9 December 2009

ER -

Rotation- and scale-invariant texture classification using slide matching of the Gabor feature

Abstract

Conference

Keywords

ASJC Scopus subject areas

More information

Other files and links

Fingerprint

Cite this