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Progressive refinement for robust image registration

Progressive refinement for robust image registration
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摘要 A new image registration algorithm with robust cost function and progressive refinement estimation is developed on the basis of direct method (DM). The robustness lies in M-estimation to avert larger local noise and outliers. Moreover, the progressive refinement model estimation under the multi-resolution framework, where the initial parameter values of coarse level are estimated by Mellin transformation, is adopted so as to get global optimization and reduce search space. Experiments show that the proposed algorithm greatly extends the scope of the conventional DM of image registration. A new image registration algorithm with robust cost function and progressive refinement estimation is developed on the basis of direct method (DM). The robustness lies in M-estimation to avert larger local noise and outliers. Moreover, the progressive refinement model estimation under the multi-resolution framework, where the initial parameter values of coarse level are estimated by Mellin transformation, is adopted so as to get global optimization and reduce search space. Experiments show that the proposed algorithm greatly extends the scope of the conventional DM of image registration.
出处 《Chinese Optics Letters》 SCIE EI CAS CSCD 2005年第7期392-394,共3页 中国光学快报(英文版)
基金 This work was supported by the National Natural Sci- ence Foundation of China under Grant No. 69905003.
关键词 Global optimization Image analysis Mathematical transformations Pattern recognition Sensor data fusion Global optimization Image analysis Mathematical transformations Pattern recognition Sensor data fusion
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