Multi-view Image Registration Method Based on Fuzzy Matching
DONG Tian-Zhen1,2, DENG Ting-Quan1, DAI Jia-Shu1, XIE Wei1,3 , MA Ming-Hua1
1.Laboratory of Fuzzy Information Analysis and Intelligent Recognition, Harbin Engineering University, Harbin 150001 2.School of Computer Science and Information Engineering, Shanghai Institute of Technology, Shanghai 201148 3.School of Applied Sciences, Harbin University of Science and Technology, Harbin 150080
Abstract：According to the characteristics of spatial multi-view images, a fuzzy matching based multi-view image registration method is proposed by the principle of coarse-to-fine. Based on image segmentation, the uncertainty of the information from multi-view images is taken into account. The robust regional features such as area, dominant hue and second order moments of brightness are regarded as descriptors of connected regions and then the connected regions are fuzzed. By introducing fuzzy implication, the matching degree between connected regions in multi-view images is calculated. Then, the best matching relation between connected regions is built via fuzzy reasoning. Finally, the feedback correction is used for matching relationship between feature points of connected regions. The adaptive accurate registration between multi-view images is achieved. Meanwhile, the validity of the proposed method is demonstrated through experiments.
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2014, Vol. 27 
