UAV image automatic mosaic method based on matching of feature points

Author

Yang Xiao Hong ; Zhang Qing Jie ; Zhao Dan Dan ; Shao Xiang Xin ; Xu Jing

Author_Institution

Dept. of Aircraft Controller, Aviation Univ. of Air Force, Changchun, China

fYear

2013

Firstpage

33

Lastpage

36

Abstract

This paper presents a new algorithm for image mosaic based on Harris corner detection algorithm, first use Harris operator to detect the image corner, then use the correlation feature registration to find registration pair, remove the false registration using constraint registration algorithm, find the correct registration point for image mosaic, finally use the gradual fade-out method for image fusion, image mosaic experiments show that this method can improve the accuracy and robustness of the UAV aerial image mosaic.

Keywords

autonomous aerial vehicles; correlation methods; edge detection; feature extraction; image fusion; image matching; image registration; image segmentation; robot vision; Harris corner detection algorithm; Harris operator; UAV aerial image automatic mosaic method; UAV aerial image mosaic; constraint registration algorithm; correct registration point; correlation feature registration; false registration removal; feature points matching; gradual fade-out method; image corner detection; image fusion; registration pair; Accuracy; Algorithm design and analysis; Correlation; Detection algorithms; Feature extraction; Image fusion; Image registration; Harris operator; constraint registration algorithm; image fusion; image mosaic; image registration; the UAV aerial images;

fLanguage

English

Publisher

ieee

Conference_Titel

Chinese Automation Congress (CAC), 2013

Conference_Location

Changsha

Print_ISBN

978-1-4799-0332-0

Type

conf

DOI

10.1109/CAC.2013.6775697

Filename

6775697