Using Colour Gabor Texture Features for Scene Understanding

  title={Using Colour Gabor Texture Features for Scene Understanding},
  author={C. Setchell and N. Campbell},
Gabor filters have been used extensively as a model of texture for image interpretation tasks. This paper demonstrates that when a bank of Gabor filters is applied to an image, there are strong relationships between the outputs of the different filters. These relationships are used to devise a new texture feature which is capable of describing texture information in a concise manner. Information about the distributions of filter responses is also encoded in the new feature. Performance of the… Expand

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  • Computer Science
  • 2008 Eighth International Conference on Intelligent Systems Design and Applications
  • 2008
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A Theoretical Comparison of Texture Algorithms
  • R. Conners, C. Harlow
  • Computer Science, Medicine
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 1980
Texture descriptors based on co-occurrence matrices
Markov Random Field Texture Models
  • G. R. Cross, Anil K. Jain
  • Computer Science, Mathematics
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 1983
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  • T. Weldon, W. Higgins
  • Mathematics, Computer Science
  • Proceedings of 3rd IEEE International Conference on Image Processing
  • 1996
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Preattentive texture discrimination with early vision mechanisms.
  • J. Malik, P. Perona
  • Computer Science, Medicine
  • Journal of the Optical Society of America. A, Optics and image science
  • 1990
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