A speed-up and robust image registration algorithm based on FAST

Author

Jiao, Jichao ; Zhao, Baojun ; Wu, Shasha

Author_Institution

Dept. of Electron. Eng., Beijing Inst. of Technol., Beijing, China

Volume

4

fYear

2011

fDate

10-12 June 2011

Firstpage

160

Lastpage

164

Abstract

A speed-up and robust image registration algorithm for multimodality images is proposed in this paper. The median filter is used to suppress the noises in the reference and distorted image. Then an improved FAST (Features from Accelerated Segment Test) method with a robust threshold is implemented for corner detection. In order to match the feature points, a point matching approach based on threshold learning is proposed in this paper. Besides, the pair of feature points is matched in regional area according to the gray correlation. After calculating the affine parameters, the distorted is registrated. This scheme is tested by three different modalities real images including nature images, space images and infrared images. Results reveal that the proposed image registration algorithm can be finished within 20ms for multimodality images.

Keywords

image registration; infrared imaging; median filters; FAST; FAST method; affine parameter; corner detection; feature from accelerated segment test method; image distortion; infrared image; median filter; multimodality image; point matching approach; robust image registration algorithm; time 20 ms; Computational modeling; Feature extraction; Image edge detection; Image registration; Mathematical model; Pixel; Robustness; FAST; corner detection; feature point matching; image registration; threshold learning;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Automation Engineering (CSAE), 2011 IEEE International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-8727-1

Type

conf

DOI

10.1109/CSAE.2011.5952825

Filename

5952825