New texture signatures and their use in rotation invariant texture classification

Jianguo Zhang; Tieniu Tan

New texture signatures and their use in rotation invariant texture classification

Jianguo Zhang
, Tieniu Tan

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

Abstract

In this paper, we present a theoretically and computationally simple but efficient approach for rotation invariant texture classification. This method is based on new texture signatures extracted from spectrum. Rotation invariant texture features are obtained based on the extension of the derived signatures. The features are tested with 1000 randomly rotated samples of 20 Brodatz texture classes. Comparative study results show that our method is highly efficient in rotation invariant texture classification.

Original language	English
Title of host publication	Proceedings of Texture 2002
Subtitle of host publication	the 2nd international workshop on texture analysis and synthesis with ECCV 2002
Editors	Mike Chantler
Place of Publication	Edinburgh
Publisher	Heriot-Watt University
Pages	157-162
Number of pages	6
ISBN (Print)	0901658995
Publication status	Published - 2002
Event	The 2nd International Workshop on Texture Analysis and Synthesis - Copenhagen, Denmark Duration: 1 Jun 2002 → 2 Jun 2002

Conference

Conference	The 2nd International Workshop on Texture Analysis and Synthesis
Country/Territory	Denmark
City	Copenhagen
Period	1/06/02 → 2/06/02

Cite this

@inproceedings{14f566d3515144be9d5d1acd13c27d16,

title = "New texture signatures and their use in rotation invariant texture classification",

abstract = "In this paper, we present a theoretically and computationally simple but efficient approach for rotation invariant texture classification. This method is based on new texture signatures extracted from spectrum. Rotation invariant texture features are obtained based on the extension of the derived signatures. The features are tested with 1000 randomly rotated samples of 20 Brodatz texture classes. Comparative study results show that our method is highly efficient in rotation invariant texture classification.",

author = "Jianguo Zhang and Tieniu Tan",

year = "2002",

language = "English",

isbn = "0901658995",

pages = "157--162",

editor = "Mike Chantler",

booktitle = "Proceedings of Texture 2002",

publisher = "Heriot-Watt University",

note = "The 2nd International Workshop on Texture Analysis and Synthesis ; Conference date: 01-06-2002 Through 02-06-2002",

}

Zhang, J & Tan, T 2002, New texture signatures and their use in rotation invariant texture classification. in M Chantler (ed.), Proceedings of Texture 2002: the 2nd international workshop on texture analysis and synthesis with ECCV 2002. Heriot-Watt University, Edinburgh, pp. 157-162, The 2nd International Workshop on Texture Analysis and Synthesis, Copenhagen, Denmark, 1/06/02.

New texture signatures and their use in rotation invariant texture classification. / Zhang, Jianguo; Tan, Tieniu.
Proceedings of Texture 2002: the 2nd international workshop on texture analysis and synthesis with ECCV 2002. ed. / Mike Chantler. Edinburgh: Heriot-Watt University, 2002. p. 157-162.

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

TY - GEN

T1 - New texture signatures and their use in rotation invariant texture classification

AU - Zhang, Jianguo

AU - Tan, Tieniu

PY - 2002

Y1 - 2002

N2 - In this paper, we present a theoretically and computationally simple but efficient approach for rotation invariant texture classification. This method is based on new texture signatures extracted from spectrum. Rotation invariant texture features are obtained based on the extension of the derived signatures. The features are tested with 1000 randomly rotated samples of 20 Brodatz texture classes. Comparative study results show that our method is highly efficient in rotation invariant texture classification.

AB - In this paper, we present a theoretically and computationally simple but efficient approach for rotation invariant texture classification. This method is based on new texture signatures extracted from spectrum. Rotation invariant texture features are obtained based on the extension of the derived signatures. The features are tested with 1000 randomly rotated samples of 20 Brodatz texture classes. Comparative study results show that our method is highly efficient in rotation invariant texture classification.

M3 - Conference contribution

SN - 0901658995

SP - 157

EP - 162

BT - Proceedings of Texture 2002

A2 - Chantler, Mike

PB - Heriot-Watt University

CY - Edinburgh

T2 - The 2nd International Workshop on Texture Analysis and Synthesis

Y2 - 1 June 2002 through 2 June 2002

ER -

New texture signatures and their use in rotation invariant texture classification

Abstract

Conference

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