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Color texture classification method based on a statistical multi-model and geodesic distance
Affiliation:1. L.I.M. Faculty of Sciences Dhar el Mahraz, USMBA, FÃs¨, Morocco;2. DESTEC, FLSHR, University of Mohammed V-Agdal, Rabat, Morocco;3. Institut Polytechnique Bordeaux/ENSEIRB-MATMECA, Laboratoire IMS CNRS UMR 5218, Groupe Signal et Image, France;4. LRIT URAC 29, University of Mohammed V-Agdal, Rabat, Morocco;1. Sichuan Province Key Lab of Signal and Information Processing, Southwest Jiaotong University, Chengdu 610031, PR China;2. School of Computer & Information Engineering, Yibin University, Yibin 644000, PR China;1. Key Lab of Intelligent Computing and Signal Processing of Ministry of Education, School of Computer Science and Technology, Anhui University, Hefei, Anhui, China;2. Department of Computer Science and Engineering, University of Texas at Arlington, Engineering Research Building, Room 529, 500 UTA Blvd, Arlington, TX 76019, USA;1. Computer and Information Technology Department, Zhejiang Police College, China;2. College of Computer Science, Zhejiang University, China
Abstract:
Keywords:Color texture  Wavelet representation  Multivariate copula model  Rao geodesic distance  Bayesian classification  Lab and HSV color spaces  Dependence structure  Joint linear-circular model
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