Improved Harris Corner Detector Algorithm for Image Co-Registration

被引：0

作者：

Safy, M. ^{[1
]}

Shi, Guangming ^{[1
]}

Li, Zhenfeng ^{[1
]}

Amein, Ahmed Saleh ^{[2
]}

机构：

[1] Xidian Univ, Xian, Peoples R China

[2] Mil Tech Coll, Cairo, Egypt

来源：

2013 3RD INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND NETWORK TECHNOLOGY (ICCSNT) | 2013年

关键词：

Cross correlation; Harris corner detector; SIFT; RANSAC; coherence;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Image registration is the process of removing the offset between two or more images of the same location from different angles. One of the two images is the master image and the other is the slave image. In this paper an effective algorithm is proposed to align the two images; this algorithm is based on combining both area-based methods and feature-based methods. Cross-correlation function is used to detect the coarse offset between the master image and the slave image, while the fine offset between the two images is detected by the Harris corner detector [1] and Scale-Invariant Feature Transform (SIFT) which is proposed by Lowe (1999). Random Sample Consensus (RANSAC) algorithm [2] is used to estimate the transformation model. The proposed algorithm is evaluated by using the coherence map. The results show that the proposed algorithm is more effective than using the automatic image registration methods alone [3].

引用

页码：19 / 22

页数：4

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