The reduction subset based on rough sets applied to texture classification
Pan, Li, Nahavandi, Saeid and Lan, Jinhui 2003, The reduction subset based on rough sets applied to texture classification, in Program & abstracts : the Second International Conference on Computational Intelligence, Robotics and Autonomous Systems : CIRAS 2003 : 15-18 December 2003, Pan Pacific Hotel, Singapore, Center for Intelligent Control, National University of Singapore, Singapore.
Program & abstracts : the Second International Conference on Computational Intelligence, Robotics and Autonomous Systems : CIRAS 2003 : 15-18 December 2003, Pan Pacific Hotel, Singapore
Center for Intelligent Control, National University of Singapore
Place of publication
Singapore
Summary
The rough set is a new mathematical approach to imprecision, vagueness and uncertainty. The concept of reduction of the decision table based on the rough sets is very useful for feature selection. The paper describes an application of rough sets method to feature selection and reduction in texture images recognition. The methods applied include continuous data discretization based on Fuzzy c-means and, and rough set method for feature selection and reduction. The trees extractions in the aerial images were applied. The experiments show that the methods presented in this paper are practical and effective.
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.