Co-occurrence-based analysis and synthesis of textures

Lohmann, G

doi:10.1109/ICPR.1994.576322

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Co-occurrence-based analysis and synthesis of textures

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https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=576322
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Lohmann, G. (1994). Co-occurrence-based analysis and synthesis of textures. In 12th International Conference on Pattern Recognition (pp. 449-453). Los Alamitos, CA, USA: IEEE. doi:10.1109/ICPR.1994.576322.

Cite as: https://hdl.handle.net/21.11116/0000-0006-DC35-7

Abstract

In the first part of this paper, an algorithm for synthesizing textures obeying a given set of co-occurrence features is presented. It is shown that the synthetically generated images are visually very similar to remotely sensed images coming from the Landsat/TM and ERS1/AMI sensors. This result motivates the use of those features for texture classification. In the second part of the paper, a new algorithm for classifying textures based on co-occurrence feature vectors that are modelled as multi-nomial density functions is presented.