Digital Image Processing

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A New Approach for Tree-Structured Wavelet Transform Based Texture Retrieval Analysis (TRA) by Using Matlab


Affiliations
1 Department of Information Technology, Technocrat Institute of Technology, Bhopal (M.P.), India
2 MATS University, Raipur (C.G.), India
3 Department of Computer Science and Engineering, Guru Ghansidas Central University, Bilaspur (C.G.), India
4 Multimedia Regional Centre, Madhya Pradesh Bhoj (Open) University, Khandwa Road Campus, Indore (M.P.), India
     

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In this paper titled "A New Approach for Tree-Structured Wavelet Transform based Texture Retrieval Analysis (TRA) by Using MatLab" is define Wavelet transform-based texture analysis, as I found in the different research, uses sub-band energy values as features, but not the order of energy values. In fact, a textured image, after a wavelet decomposition, yields an energy distribution which can be rank ordered with respect to the sub-bands. It has been found that the combination of the sub-band energy value and its ranking order leads to a more efficient texture retrieval mechanism.

Keywords

MatLab7.0, Wavelet Toolbox, Image Processing Toolbox, Algorithm.
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  • A New Approach for Tree-Structured Wavelet Transform Based Texture Retrieval Analysis (TRA) by Using Matlab

Abstract Views: 209  |  PDF Views: 3

Authors

Shiv Kumar
Department of Information Technology, Technocrat Institute of Technology, Bhopal (M.P.), India
R. K. Singh
MATS University, Raipur (C.G.), India
Manish Srivastava
Department of Computer Science and Engineering, Guru Ghansidas Central University, Bilaspur (C.G.), India
Dinesh Varshney
Multimedia Regional Centre, Madhya Pradesh Bhoj (Open) University, Khandwa Road Campus, Indore (M.P.), India
Vijay K. Chaudhari
Department of Information Technology, Technocrat Institute of Technology, Bhopal (M.P.), India

Abstract


In this paper titled "A New Approach for Tree-Structured Wavelet Transform based Texture Retrieval Analysis (TRA) by Using MatLab" is define Wavelet transform-based texture analysis, as I found in the different research, uses sub-band energy values as features, but not the order of energy values. In fact, a textured image, after a wavelet decomposition, yields an energy distribution which can be rank ordered with respect to the sub-bands. It has been found that the combination of the sub-band energy value and its ranking order leads to a more efficient texture retrieval mechanism.

Keywords


MatLab7.0, Wavelet Toolbox, Image Processing Toolbox, Algorithm.