模糊相似度景像匹配算法研究

Studies on Scene Matching Algorithm of Fuzzy Similarity Metric

研究了求取图像模糊特征域的计算方法 ,提出了采用图像模糊集相似度进行景像匹配的方法 ,并探讨了综合利用多种模糊集相似度算法进行匹配的方法 ,进一步提出了模糊综合相似度 (FSSM)匹配算法 .仿真验证表明 ,FSSM算法具有适应性好、匹配率高等优点 ,且实时性也较好 。

Calculations of fuzzy image feature field were studied, the scene matching algorithm adopting similarity metrics of image fuzzy sets was proposed, and the matching methods of combining multiple similarity metrics of fuzzy sets were explored. Further more, the scene matching algorithm of the fuzzy synthetic similarities (FSSM) was proposed. The simulation results show that the FSSM algorithm has advantages of excellent adaptability, high matching probability, and good real time ability. As an excellent algorithm of scene matching, it can be used for the real time positioning of aircrafts.