Stolpmann, Alexander and Dooley, Laurence S.
|DOI (Digital Object Identifier) Link:||http://doi.org/10.1109/NAFIPS.1999.781778|
|Google Scholar:||Look up in Google Scholar|
This paper describes the use of a complex modular image processing system for texture classification. An introduction into problems that arise when handling textures is given. Furthermore the modules of the proposed system are described, namely the filtering and statistical modules, automatic feature vector optimization module and the classification module using clustering and fuzzy clustering methods. This texture classification system can easily be adapted for other tasks, including tasks in the field of medical imaging, remote sensing and quality control.
|Item Type:||Conference Item|
|Academic Unit/Department:||Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
|Interdisciplinary Research Centre:||Centre for Research in Computing (CRC)|
|Depositing User:||Laurence Dooley|
|Date Deposited:||03 Jun 2009 15:10|
|Last Modified:||02 Aug 2016 13:27|
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