Abstract：A novel feature matrix similarity measure method, which is suitable for two dimensional object recognition and matching, is presented. In this method, a similarrow vector is produced by comparing dynamic programming (DP) matching distances, which describe the similarity between the row of a query matrix and those of a sample matrix. And the similarrow vector is used to represent the query matrix. Then the DP matching is again performed to obtain a similarity measure. The proposed method is employed in an image retrieval system using a dominant color feature matrix representation. The experimental results show that the method is efficient.
刘跃虎，王飞，刘晓东，袁泽剑. 一种特征矩阵的相似性度量方法及其在图像检索中的应用*[J]. 模式识别与人工智能, 2006, 19(4): 497-502.
LIU YueHu, WANG Fei, LIU XiaoDong, YUAN ZeJian. A Feature Matrix Similarity Measure Method and Its Application to Image Retrieval. , 2006, 19(4): 497-502.
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2006, Vol. 19 
