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Alternative TitleAn Improved Image Matching Algorithm Based on Moment Invariant
王俊卿; 史泽林; 黄莎白
Source Publication模式识别与人工智能
Indexed ByEI ; CSCD
EI Accession number2005239148033
Contribution Rank1
Keyword图像匹配 目标跟踪 不变矩 置信度 契比雪夫不等式
Other AbstractThis paper proposes a two--stage template--based matching method for object tracking under complex background. This method combines features of moment invariants and statistics of gray level histogram in local region by means of analyzing the theory of moment invariant. First of all, this algorithm that utilizes features of translation, rotation and scale of moment invariant as matching computes moment invariant of edges of image and obtains frist N better results as candidate targets in the first matching stage. Secondly, the algorithm based on Chebyshev inequation, which determines confidence level of candidate targets, decides the best target through the gray level histogram characteristics of candidate targets whose confidence level are higher. Those experimental results present that this algorithm addresses the problem of confidence level, which generally exists in traditional matching methods. The performance of this algorithm is superior to those of both directly matching method based on moment invariant and gray--level correlation matching method. Finally, a good matching result is obtained.
Citation statistics
Cited Times:4[CSCD]   [CSCD Record]
Document Type期刊论文
Corresponding Author王俊卿
Recommended Citation
GB/T 7714
王俊卿,史泽林,黄莎白. 一种改进的基于不变矩的图像匹配算法[J]. 模式识别与人工智能,2005,18(2):228-233.
APA 王俊卿,史泽林,&黄莎白.(2005).一种改进的基于不变矩的图像匹配算法.模式识别与人工智能,18(2),228-233.
MLA 王俊卿,et al."一种改进的基于不变矩的图像匹配算法".模式识别与人工智能 18.2(2005):228-233.
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