Multi-source Information Fusion Method Based on Texture Analysis

Based on the excellent properties of dual-tree complex wavelet transform(DT-CWT),the image texture features are analyzed and treated by combining the genetic algorithm and the evidence theory.Firstly,such cha-racteristics of DT-CWT as shift invariance,excellent directional selectivity,perfect reconstruction,limited redundancy independent of the number of scales and high computation efficiency are utilized to extract abundant image texture features.Secondly,the global optimization ability of genetic algorithm is introduced to reduce the texture feature set.Thirdly,the data fusion method based on evidence theory is adopted to realize multi-source information fusion and object identification.The nondestructive evaluation experiment proves the high performance of the proposed algorithm.