An orientation and resolution independent texture classifier in segmentation of images of unknown rotation and scale

Jia You; H. A. Cohen

doi:10.1109/ICPR.1992.201925

An orientation and resolution independent texture classifier in segmentation of images of unknown rotation and scale

Jia You, H. A. Cohen

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

1 Citation (Scopus)

Abstract

This paper describes an orientation and resolution insensitive texture classifier for demarcating regions of common texture within an rotated and/or scaled image. The algorithm involves a mask 'tuning' process performed over equal size pure texture samples in the multi-orientation and multi-scale data set via a two-dimensional linked-list. The development of a guided random search approach for parameter optimization is detailed and the segmentation results of collages of Brodatz textures are provided.

Original language	English
Title of host publication	IAPR 1992 - 11th IAPR International Conference on Pattern Recognition
Subtitle of host publication	Image, Speech, and Signal Analysis
Publisher	IEEE
Pages	49-52
Number of pages	4
Volume	3
ISBN (Electronic)	0818629207
DOIs	https://doi.org/10.1109/ICPR.1992.201925
Publication status	Published - 1 Jan 1992
Externally published	Yes
Event	11th IAPR International Conference on Pattern Recognition, IAPR 1992 - The Hague, Netherlands Duration: 30 Aug 1992 → 1 Sept 1992

Conference

Conference	11th IAPR International Conference on Pattern Recognition, IAPR 1992
Country/Territory	Netherlands
City	The Hague
Period	30/08/92 → 1/09/92

Keywords

Classifier
Convolution
Feature extraction
Image segmentation
Texture discrimination
Texture energy
Tuned mask

ASJC Scopus subject areas

Computer Vision and Pattern Recognition

More information

10.1109/ICPR.1992.201925

Cite this

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title = "An orientation and resolution independent texture classifier in segmentation of images of unknown rotation and scale",

abstract = "This paper describes an orientation and resolution insensitive texture classifier for demarcating regions of common texture within an rotated and/or scaled image. The algorithm involves a mask 'tuning' process performed over equal size pure texture samples in the multi-orientation and multi-scale data set via a two-dimensional linked-list. The development of a guided random search approach for parameter optimization is detailed and the segmentation results of collages of Brodatz textures are provided.",

keywords = "Classifier, Convolution, Feature extraction, Image segmentation, Texture discrimination, Texture energy, Tuned mask",

author = "Jia You and Cohen, {H. A.}",

year = "1992",

month = jan,

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doi = "10.1109/ICPR.1992.201925",

language = "English",

volume = "3",

pages = "49--52",

booktitle = "IAPR 1992 - 11th IAPR International Conference on Pattern Recognition",

publisher = "IEEE",

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note = "11th IAPR International Conference on Pattern Recognition, IAPR 1992 ; Conference date: 30-08-1992 Through 01-09-1992",

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You, J & Cohen, HA 1992, An orientation and resolution independent texture classifier in segmentation of images of unknown rotation and scale. in IAPR 1992 - 11th IAPR International Conference on Pattern Recognition: Image, Speech, and Signal Analysis. vol. 3, 201925, IEEE, pp. 49-52, 11th IAPR International Conference on Pattern Recognition, IAPR 1992, The Hague, Netherlands, 30/08/92. https://doi.org/10.1109/ICPR.1992.201925

An orientation and resolution independent texture classifier in segmentation of images of unknown rotation and scale. / You, Jia; Cohen, H. A.
IAPR 1992 - 11th IAPR International Conference on Pattern Recognition: Image, Speech, and Signal Analysis. Vol. 3 IEEE, 1992. p. 49-52 201925.

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

TY - GEN

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AU - Cohen, H. A.

PY - 1992/1/1

Y1 - 1992/1/1

N2 - This paper describes an orientation and resolution insensitive texture classifier for demarcating regions of common texture within an rotated and/or scaled image. The algorithm involves a mask 'tuning' process performed over equal size pure texture samples in the multi-orientation and multi-scale data set via a two-dimensional linked-list. The development of a guided random search approach for parameter optimization is detailed and the segmentation results of collages of Brodatz textures are provided.

AB - This paper describes an orientation and resolution insensitive texture classifier for demarcating regions of common texture within an rotated and/or scaled image. The algorithm involves a mask 'tuning' process performed over equal size pure texture samples in the multi-orientation and multi-scale data set via a two-dimensional linked-list. The development of a guided random search approach for parameter optimization is detailed and the segmentation results of collages of Brodatz textures are provided.

KW - Classifier

KW - Convolution

KW - Feature extraction

KW - Image segmentation

KW - Texture discrimination

KW - Texture energy

KW - Tuned mask

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DO - 10.1109/ICPR.1992.201925

M3 - Conference article published in proceeding or book

VL - 3

SP - 49

EP - 52

BT - IAPR 1992 - 11th IAPR International Conference on Pattern Recognition

PB - IEEE

T2 - 11th IAPR International Conference on Pattern Recognition, IAPR 1992

Y2 - 30 August 1992 through 1 September 1992

ER -

An orientation and resolution independent texture classifier in segmentation of images of unknown rotation and scale

Abstract

Conference

Keywords

ASJC Scopus subject areas

More information

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