An algorithm of Image Matching Based on Mahalanobis Distance and Weighted KNN Graph

被引：8

作者：

Bo, Du ^{[1
]}

Zhangguan-liang ^{[1
]}

Cuixiao-long ^{[1
]}

机构：

[1] Urumqi Command Coll CAPF, Yanan St 1128, Urumqi 830049, Xinjiang, Peoples R China

来源：

2015 2ND INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND CONTROL ENGINEERING ICISCE 2015 | 2015年

关键词：

Image matching; Mahalanobis Distance; KNN Graph; angular distance; NONRIGID REGISTRATION;

D O I：

10.1109/ICISCE.2015.34

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A point pattern matching algorithm based on Mahalanobis distance is proposed, which effect is analyzed and confirmed by experiments. Secondly, the Graph Transformation Matching algorithm and Weighted Graph Transformation Matching algorithm are studied deeply. To overcome the limitation of Mahalanobis distance and WGTM, a novel and robust point pattern matching algorithm based on Weighted Graph Transformation using Mahalanobis distance is proposed. The similarity evaluated by Mahalanobis distance is embedded into WGTM algorithm under the constraint of median distance and angular distance. Then point pairs were obtained through iteratively eliminating the outliers. Experimental results on synthetic data and real-world data demonstrate that the proposed algorithm is effective and robust.

引用

页码：116 / 121

页数：6

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