Perceptually-tuned multiscale color-texture segmentation

Junqing Chen; Thrasyvoulos N. Pappas; Aleksandra Mojsilovic; Bernice E. Rogowitz

Perceptually-tuned multiscale color-texture segmentation

Junqing Chen^*, Thrasyvoulos N. Pappas, Aleksandra Mojsilovic, Bernice E. Rogowitz

^*Corresponding author for this work

Electrical and Computer Engineering

Research output: Contribution to journal › Conference article › peer-review

7 Scopus citations

Abstract

We present a perceptually-tuned multiscale image segmentation algorithm that is based on spatially adaptive color and texture features. The proposed algorithm extends a previously proposed approach to include multiple texture scales. The determination of the multiscale texture features is based on perceptual considerations. We also examine the perceptual tuning of the algorithm and how it is affected by the presence of different texture scales. The multiscale extension is necessary for segmenting higher resolution images, and is particularly effective in segmenting objects shown in different perspectives. The performance of the proposed algorithm is demonstrated in the domain of photographic images.

Original language	English (US)
Pages (from-to)	921-924
Number of pages	4
Journal	Proceedings - International Conference on Image Processing, ICIP
Volume	5
State	Published - 2004
Event	2004 International Conference on Image Processing, ICIP 2004 - , Singapore Duration: Oct 18 2004 → Oct 21 2004

ASJC Scopus subject areas

General Engineering

Cite this

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title = "Perceptually-tuned multiscale color-texture segmentation",

abstract = "We present a perceptually-tuned multiscale image segmentation algorithm that is based on spatially adaptive color and texture features. The proposed algorithm extends a previously proposed approach to include multiple texture scales. The determination of the multiscale texture features is based on perceptual considerations. We also examine the perceptual tuning of the algorithm and how it is affected by the presence of different texture scales. The multiscale extension is necessary for segmenting higher resolution images, and is particularly effective in segmenting objects shown in different perspectives. The performance of the proposed algorithm is demonstrated in the domain of photographic images.",

author = "Junqing Chen and Pappas, {Thrasyvoulos N.} and Aleksandra Mojsilovic and Rogowitz, {Bernice E.}",

year = "2004",

language = "English (US)",

volume = "5",

pages = "921--924",

journal = "Proceedings - International Conference on Image Processing, ICIP",

issn = "1522-4880",

publisher = "IEEE Computer Society",

note = "2004 International Conference on Image Processing, ICIP 2004 ; Conference date: 18-10-2004 Through 21-10-2004",

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TY - JOUR

T1 - Perceptually-tuned multiscale color-texture segmentation

AU - Chen, Junqing

AU - Pappas, Thrasyvoulos N.

AU - Mojsilovic, Aleksandra

AU - Rogowitz, Bernice E.

PY - 2004

Y1 - 2004

N2 - We present a perceptually-tuned multiscale image segmentation algorithm that is based on spatially adaptive color and texture features. The proposed algorithm extends a previously proposed approach to include multiple texture scales. The determination of the multiscale texture features is based on perceptual considerations. We also examine the perceptual tuning of the algorithm and how it is affected by the presence of different texture scales. The multiscale extension is necessary for segmenting higher resolution images, and is particularly effective in segmenting objects shown in different perspectives. The performance of the proposed algorithm is demonstrated in the domain of photographic images.

AB - We present a perceptually-tuned multiscale image segmentation algorithm that is based on spatially adaptive color and texture features. The proposed algorithm extends a previously proposed approach to include multiple texture scales. The determination of the multiscale texture features is based on perceptual considerations. We also examine the perceptual tuning of the algorithm and how it is affected by the presence of different texture scales. The multiscale extension is necessary for segmenting higher resolution images, and is particularly effective in segmenting objects shown in different perspectives. The performance of the proposed algorithm is demonstrated in the domain of photographic images.

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M3 - Conference article

AN - SCOPUS:20444436823

SN - 1522-4880

VL - 5

SP - 921

EP - 924

JO - Proceedings - International Conference on Image Processing, ICIP

JF - Proceedings - International Conference on Image Processing, ICIP

T2 - 2004 International Conference on Image Processing, ICIP 2004

Y2 - 18 October 2004 through 21 October 2004

ER -

Perceptually-tuned multiscale color-texture segmentation

Abstract

ASJC Scopus subject areas

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