An automatic method for image mosaic based on feature matching

Author

Guimin, Zhang

Author_Institution

Dept. of Control Eng., Acad. of Armored Forces Eng., Beijing, China

fYear

2011

fDate

15-17 April 2011

Firstpage

3934

Lastpage

3937

Abstract

In this paper, an automatic image mosaic algorithm based on feature matching is presented. In the algorithm, a scale invariant feature transform (SIFT) is used to extract feature points. The initial matches are divided into inliers and outliers by robust RANSAC algorithm. Then LM algorithm is used to estimate the point transformation matrix between two images accurately. In the end, weighted average method is used to blend images. Experimental results show the image mosaic effect is wonderful and the algorithm is adaptive very much. It is high valuable in practice.

Keywords

feature extraction; image matching; image segmentation; automatic image mosaic algorithm; blend images; feature extraction; feature matching; point transformation matrix; robust RANSAC algorithm; scale invariant feature transform; weighted average method; Electrical engineering; Feature extraction; Frequency modulation; Pattern recognition; Robustness; System-on-a-chip; Transforms; feature extraction; feature matching; image mosaic; optimal estimating;

fLanguage

English

Publisher

ieee

Conference_Titel

Electric Information and Control Engineering (ICEICE), 2011 International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-8036-4

Type

conf

DOI

10.1109/ICEICE.2011.5777315

Filename

5777315