Deep sea image mosaic based on SIFT algorithm

被引：0

作者：

Gang, Tong ^{[1
]}

Huan, Liu ^{[1
]}

机构：

[1] Qingdao Univ Sci & Technol, Sch Informat Sci & Technol, Qingdao, Peoples R China

来源：

2017 4TH INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND CONTROL ENGINEERING (ICISCE) | 2017年

关键词：

SIFT algorithm; image mosaic; deep-sea images; image registration;

D O I：

10.1109/ICISCE.2017.61

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents a new technique of deep sea image mosaic based on SIFT(Scale-invariant feature transform) algorithm. The SIFT algorithm by means of the median filter to the noise processing and itself has a good ability to resist scale changes, It can effectively match the characteristics of the two deep-sea biological images in the case of parallax. In the same coordinate system, the corresponding coordinate transformation is made according to the matching characteristic points. And the neighborhood average algorithm is used to optimize the processing. The whole process of using MATLAB to achieve, The program interface is simplified to enter two images.

引用

页码：254 / 257

页数：4

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