Invariant texture segmentation via circular Gabor filter

Jianguo Zhang; Tieniu Tan; Li Ma

doi:10.1109/ICPR.2002.1048450

Invariant texture segmentation via circular Gabor filter

Jianguo Zhang
, Tieniu Tan
, Li Ma

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this paper, we focus on invariant texture segmentation, and propose a new method using circular Gabor filters (CGF) for rotation invariant texture segmentation. The traditional Gabor function is modified into a circular symmetric version. The rotation invariant texture features are achieved via the channel output of the CGF. A new scheme of the selection of Gabor parameters is also proposed for texture segmentation. Experiments show the efficacy of this method.

Original language	English
Title of host publication	Proceedings. 16th International Conference on Pattern Recognition 2002
Editors	R. Kasturi, D. Laurendeau, C. Suen
Place of Publication	California
Publisher	IEEE Computer Society
Pages	901-904
Number of pages	4
Volume	2
ISBN (Print)	076951695X
DOIs	https://doi.org/10.1109/ICPR.2002.1048450
Publication status	Published - 2002
Event	16th International Conference on Pattern Recognition - Quebec, Canada Duration: 11 Aug 2002 → 15 Aug 2002 http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8091

Conference

Conference	16th International Conference on Pattern Recognition
Country/Territory	Canada
City	Quebec
Period	11/08/02 → 15/08/02
Internet address	http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8091

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10.1109/ICPR.2002.1048450

http://ieeexplore.ieee.org/xpl/tocresult.jsp?isnumber=22464

Cite this

@inproceedings{cca2d226e9cc412381aecbe76cb2bdf1,

title = "Invariant texture segmentation via circular Gabor filter",

abstract = "In this paper, we focus on invariant texture segmentation, and propose a new method using circular Gabor filters (CGF) for rotation invariant texture segmentation. The traditional Gabor function is modified into a circular symmetric version. The rotation invariant texture features are achieved via the channel output of the CGF. A new scheme of the selection of Gabor parameters is also proposed for texture segmentation. Experiments show the efficacy of this method.",

author = "Jianguo Zhang and Tieniu Tan and Li Ma",

year = "2002",

doi = "10.1109/ICPR.2002.1048450",

language = "English",

isbn = "076951695X",

volume = "2",

pages = "901--904",

editor = "R. Kasturi and D. Laurendeau and Suen, \{C. \}",

booktitle = "Proceedings. 16th International Conference on Pattern Recognition 2002",

publisher = "IEEE Computer Society",

note = "16th International Conference on Pattern Recognition ; Conference date: 11-08-2002 Through 15-08-2002",

url = "http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8091",

}

Zhang, J, Tan, T & Ma, L 2002, Invariant texture segmentation via circular Gabor filter. in R Kasturi, D Laurendeau & C Suen (eds), Proceedings. 16th International Conference on Pattern Recognition 2002. vol. 2, IEEE Computer Society, California, pp. 901-904, 16th International Conference on Pattern Recognition, Quebec, Canada, 11/08/02. https://doi.org/10.1109/ICPR.2002.1048450

TY - GEN

T1 - Invariant texture segmentation via circular Gabor filter

AU - Zhang, Jianguo

AU - Tan, Tieniu

AU - Ma, Li

PY - 2002

Y1 - 2002

N2 - In this paper, we focus on invariant texture segmentation, and propose a new method using circular Gabor filters (CGF) for rotation invariant texture segmentation. The traditional Gabor function is modified into a circular symmetric version. The rotation invariant texture features are achieved via the channel output of the CGF. A new scheme of the selection of Gabor parameters is also proposed for texture segmentation. Experiments show the efficacy of this method.

AB - In this paper, we focus on invariant texture segmentation, and propose a new method using circular Gabor filters (CGF) for rotation invariant texture segmentation. The traditional Gabor function is modified into a circular symmetric version. The rotation invariant texture features are achieved via the channel output of the CGF. A new scheme of the selection of Gabor parameters is also proposed for texture segmentation. Experiments show the efficacy of this method.

U2 - 10.1109/ICPR.2002.1048450

DO - 10.1109/ICPR.2002.1048450

M3 - Conference contribution

SN - 076951695X

VL - 2

SP - 901

EP - 904

BT - Proceedings. 16th International Conference on Pattern Recognition 2002

A2 - Kasturi, R.

A2 - Laurendeau, D.

A2 - Suen, C.

PB - IEEE Computer Society

CY - California

T2 - 16th International Conference on Pattern Recognition

Y2 - 11 August 2002 through 15 August 2002

ER -

Invariant texture segmentation via circular Gabor filter

Abstract

Conference

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