Texture segmentation using wavelet transform

  • Authors:
  • S. Arivazhagan;L. Ganesan

  • Affiliations:
  • Department of Electronics and Communication Engineering, Mepco Schlenk Engineering College, Amathur (P.O.), Sivakasi 626 005, Tamil Nadu, India;Department of Computer Science and Engineering, Government College of Engineering, Tirunelveli 627 007, India

  • Venue:
  • Pattern Recognition Letters
  • Year:
  • 2003

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Abstract

Texture analysis such as segmentation and classification plays a vital role in computer vision and pattern recognition and is widely applied to many areas such as industrial automation, bio-medical image processing and remote sensing. This paper describes a novel technique of feature extraction for characterization and segmentation of texture at multiple scales based on block by block comparison of wavelet co-occurrence features. The performance of this segmentation algorithm is superior to traditional single resolution techniques such as texture spectrum, co-occurrences, local linear transforms, etc. The results of the proposed algorithm are found to be satisfactory.