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

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.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0006-DC35-7 Version Permalink: https://hdl.handle.net/21.11116/0000-0006-DC37-5

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https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=576322 (Publisher version) Open Access status unknown

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Lohmann, G¹, Author

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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.

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Dates: Published Online: 2002-08Date issued: 1994-11

Publication Status: Issued

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Identifiers: DOI: 10.1109/ICPR.1994.576322

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Title: 12th International Conference on Pattern Recognition (IAPR 1994)

Place of Event: Jerusalem, Israel

Start-/End Date: 1994-10-09 - 1994-10-13

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Title: 12th International Conference on Pattern Recognition

Source Genre: Proceedings

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Publ. Info: Los Alamitos, CA, USA : IEEE

Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 449 - 453 Identifier: ISBN: 0-8186-6265-4