Selection Method for Scene Matching Area Based on Information Entropy
Xiaochen Zhang, Zhongwen He, Yihui Liang, Peng Fei Zeng · 2012
A new selection method for the Scene Matching Area(SMA) based on information entropy is proposed. to improve the reliability in selecting the SMA, there scene matching ability parameters included image entropy, Frieden entropy and normalized mutual information are defined based on entropy theory to evaluate the information content, stability and unique characteristic of the SMA. According to that, the best SMA is selected step by step. Experiment results validate that the SMA selected by this method has high matching probability and low matching errors. the method, which is logical and reasonable, can meet the matching requirements.