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An adaptive approach to unsupervised texture segmentation using M-Band wavelet transform

  • Published:2001-07 Issue:7 Volume:81 Page:1337-1356
  • ISSN:0165-1684
  • Container-title:Signal Processing
  • language:en
  • Short-container-title:Signal Processing

Author:

Acharyya Mausumi,Kundu Malay K.

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software,Control and Systems Engineering

Reference37 articles.

1. Design of efficient M-band coders with linear phase and perfect reconstruction properties;Alkin;IEEE Trans. Signal Process.,1995

2. Introduction to Wavelets and Wavelet Transform. A Primer;Burrus,1998

3. Texture analysis and classification with tree structured wavelet transform;Chang;IEEE Trans. Image Process.,1993

4. M-band wavelet discrimination of natural textures;Chitre;Pattern Recognition,1999

5. A spatial filtering approach to texture analysis;Coggins;Pattern Recognition Lett.,1985

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2. Bearing fault detection by four-band wavelet packet decomposition;Thermal Science;2019

3. Underwater Image Segmentation Using Human Psycho Visual Phenomenon;Advances in Multimedia and Interactive Technologies;2018

4. Image Registration of Medical Images Using Ripplet Transform;Advances in Intelligent Systems and Computing;2016-12-25

5. Comparative assessment of efficiency for content based image retrieval systems using different wavelet features and pre-classifier;Multimedia Tools and Applications;2014-09-21
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