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加权模板匹配的二值化阈值不敏感性研究
引用本文:王刚,段会川.加权模板匹配的二值化阈值不敏感性研究[J].微机发展,2012(1):122-125.
作者姓名:王刚  段会川
作者单位:[1]山东师范大学信息科学与工程学院,山东济南250014 [2]山东省分布式计算机软件新技术重点实验室,山东济南250014
基金项目:山东省信息产业发展专项资金项目(2008R00038)
摘    要:数字图像二值化处理过程中,阈值的选取非常之关键,为了在实际应用中能够快速准确地匹配出二值化图像中的目标图像,文中采用模板匹配的方法,对标准模板匹配算法和加权模板匹配算法的二值化阈值敏感性进行了研究。根据实验图像在二值化处理过程中所取阈值的波动对图像匹配结果的影响情况,得到加权模板匹配算法与标准模板匹配算法的二值化阈值敏感性差异。实验结论同时表明加权模板匹配算法具有较强的二值化阈值不敏感性和匹配性能好的优点。

关 键 词:加权模板匹配  标准模板匹配  阈值不敏感性  二值化  权值矩阵

Binarization Threshold Insensitivity Research of Weighted Template Matching
WANG Gang,DUAN Hui-chuan.Binarization Threshold Insensitivity Research of Weighted Template Matching[J].Microcomputer Development,2012(1):122-125.
Authors:WANG Gang  DUAN Hui-chuan
Affiliation:( School of Information Science and Engineering, Shandong Normal University, Jinan 250014, China; Shandong Provincial Key Laboratory for Distributed Computer Software Novel Technology, Jinan 250014, China)
Abstract:In binary digital image processing, threshold selection is very critical. In order to match the target image of the binary image quickly and accurately in practice, use template matching method to research binary threshold sensitivity for the standard template matching algorithm and the weighted template matching algorithm. According to the threshold results of fluctuations on the match situation in the experimental binary image processing, obtain binarization threshold sensitivity difference between the weighted template matching algorithm and the standard template matching algorithm. Experimental results also show that the weighted template matching algorithm has strong binarization threshold does not match the performance of sensitivity and good benefits.
Keywords:weighted template matching  standard template matching  threshold insensitivity  binarization  weight matrix
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