Image Matching Algorithm Based on Contourlet Transform and VA Fast Search

被引：0

作者：

Fu, Jie ^{[1
]}

Wang, Pei ^{[1
]}

He, Yan ^{[1
]}

Xu, Xiao-qing ^{[2
]}

机构：

[1] Shanghai Normal Univ, Coll Mech & Elect Engn, Shanghai, Peoples R China

[2] Hohai Univ, Sch Elect & Energy, Nanjing, Jiangsu, Peoples R China

来源：

PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON ELECTRIC AND ELECTRONICS | 2013年

关键词：

sift; contourlet; VA; Image matching;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

This article aim at the application of the high real-time required embedded terminal situation, an improved SIFT algorithm is proposed. After traditional SFIT algorithm get the stable points, global texture description was carried out on the key points of frequency domain by contourlet transform, select the top 1% of points, and then through a kind of nearest neighbor search algorithm based on Vector Angle (Vector Angle, VA) to match. This algorithm improves precision, speed and the accuracy of the embedded terminal.

引用

页码：446 / 449

页数：4

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