Research on Image Based on Improved SURF Feature Matching

Author

Yanling Liu ; Sihang Ma

Author_Institution

Tianjin Key Lab. of the Design & Intell. Control of the Adv. Mechatronical Syst., Tianjin Univ. of Technol., Tianjin, China

Volume

1

fYear

2014

Firstpage

581

Lastpage

584

Abstract

Image matching is widely used in machine vision, computer technology, industry and agriculture and other fields. Matching the characteristics of traditional methods such as SIFT has advantages of compressed information quantity, high precision, but there are also some deficiencies such as the large of calculation, long time, the object to be measured of position should be required accurately and etc. This paper presents image matching method based on improved SURF feature, and the analysis and comparison are made for the three kinds of image matching methods. The experiment proved: Sometimes it can also be A single SIFT or SURF, The improved SURF more can meet the requirements of parameter estimation accuracy and real-time. It can carry out accurate judgment, recognition for the digital image. It has certain theoretical value and practical value.

Keywords

feature extraction; image matching; transforms; SIFT; compressed information quantity; computer technology; digital image recognition; image matching; improved SURF feature matching; machine vision; parameter estimation; scale-invariant feature transform; speeded up robust features; Accuracy; Algorithm design and analysis; Feature extraction; Histograms; Image matching; Signal processing algorithms; Vectors; SIFT; SURF; image matching; machine vision;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Design (ISCID), 2014 Seventh International Symposium on

Print_ISBN

978-1-4799-7004-9

Type

conf

DOI

10.1109/ISCID.2014.133

Filename

7064261