Image registration is the key of target measurement, pattern recognition and computer vision. In view of characteristics of images from spatial multi-views, the principle of coarse-to-fine is used to study the registration of multi-view images. Based on image segmentation, taking uncertainty of information from multi-view images into consideration, we regard robust regional features including area, dominant hue, n-order geometric moments as descriptors of connected regions and then fuzzify the connected regions. By introducing fuzzy implication, matching degree between connected regions in multi-views images is calculated. Then the best matching relation between connected regions is built via fuzzy reasoning. Finally, the feedback correction is used to matching relationship between feature points of connected regions. Then the adaptive accurate registration between multi-view images is achieved. The validity of proposed method is demonstrated through experiments.
['Tianzhen Dong', 'Tingquan Deng', 'Jiashu Dai', 'Wei Xie', 'Jinhong Yang', 'Qiang Fu']
A Fuzzy Reasoning Method for Multi-views Image Registration