Application of Improved Template Matching Algorithm inTarget Image Detection

被引：0

作者：

Ren, Guoquan ^{[1
]}

Jiang, Wentao ^{[1
]}

Li, Dongwei ^{[1
]}

Li, Guozhang ^{[1
]}

机构：

[1] Ordnance Engn Coll, Shijiazhuang 050003, Peoples R China

来源：

PROCEEDINGS OF THE 2016 4TH INTERNATIONAL CONFERENCE ON MACHINERY, MATERIALS AND COMPUTING TECHNOLOGY | 2016年 / 60卷

关键词：

Target Detection; Template Matching; Normalized Correlation; Optimal Searching Step-time;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In view of the disadvantage of the current method for target detection that poor efficiency and poor real-time, a novel method of target detection based on digital image processing technology was proposed. The traditional normalized correlation template matching algorithm was improved via setting optimal searching step-time in that method, which can greatly reduce the amount of computation and enhance the matching speed. The experimental results show that the proposed algorithm has high accuracy and high speed, and it can be applied in target image detection effectively.

引用

页码：519 / 523

页数：5

共 8 条

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