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A new image texture extraction algorithm based on Matching Pursuit Gabor wavelets

Yaghoobi, M ; Sharif University of Technology | 2005

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  1. Type of Document: Article
  2. DOI: 10.1109/ICASSP.2005.1415511
  3. Publisher: 2005
  4. Abstract:
  5. Feature vector extraction, based on local image texture, is a primitive algorithm for many other applications, like segmentation, clustering and identification. If these feature vectors are a good match to the human visual system (HVS), we can expect to get the appropriate results by using them. Gabor filters has been used for this purpose successfully. In this paper we introduce a novel refinement, with the use of Matching Pursuit (MP) to improve the Gabor based texture feature extractor. With this improvement, we show that the separability of different textures will increase. Another consideration in this work is computation complexity. Therefore, we limit the basis function set to reduce MP computation time. © 2005 IEEE
  6. Keywords:
  7. Feature vector extraction ; Gabor wavelets ; Image texture ; Texture extraction ; Algorithms ; Computation theory ; Feature extraction ; Image analysis ; Image segmentation ; Optical filters ; Textures
  8. Source: 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05, Philadelphia, PA, 18 March 2005 through 23 March 2005 ; Volume II , 2005 , Pages II740-II744 ; 15206149 (ISSN); 0780388747 (ISBN); 9780780388741 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/1415511