A NOVEL APPROACH COMBINING GABOR WAVELET AND MOMENTS FOR TEXTURE SEGMENTATION-Reference-Cited by-同舟云学术

A NOVEL APPROACH COMBINING GABOR WAVELET AND MOMENTS FOR TEXTURE SEGMENTATION

Published:2005-12 Issue:04 Volume:03 Page:559-572
ISSN:0219-6913
Container-title:International Journal of Wavelets, Multiresolution and Information Processing
language:en
Short-container-title:Int. J. Wavelets Multiresolut Inf. Process.

Author:

MUNEESWARAN K.¹,GANESAN L.²,ARUMUGAM S.³,HARINARAYAN P.⁴

Affiliation:

1. Department of Computer Science and Engineering, Mepco Schlenk Engineering College, Sivakasi-626 005, Tamilnad, India

2. Department of CSE, Alagappa Chettiar College of Engineering, Karaikudi, TN, India

3. A. K. College of Engineering, Srivilliputtur, TN, India

4. Infosys Technologies Limited, Hyderabad, India

Abstract

In this work, an effective method has been proposed for texture segmentation, which incorporates the best features of filter bank and statistical approaches. This technique combines the features of Gabor wavelets (filter based) and General Moments (statistical) approaches. The method has been successfully tested for various textures from Brodatz texture collection. The relative performance of this method against the conventional approaches has been analyzed using Fisher Criterion.

Publisher

World Scientific Pub Co Pte Lt

Subject

Applied Mathematics,Information Systems,Signal Processing

Link

https://www.worldscientific.com/doi/pdf/10.1142/S0219691305001020

Reference8 articles.

1. Moment-based texture segmentation

2. Statistical and structural approaches to texture

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