Title :
The UAV image mosaic method based on phase correlation
Author :
Xiao Hong Yang ; Shao Xiang Xin ; Zhang Qing Jie ; Xu Jing ; Zhao Dan Dan
Author_Institution :
Dept. of Aircraft Controller, Aviation Univ. of Air Force, Changchun, China
Abstract :
In order to solve the problem of large amount of calculation of UAV image mosaic algorithm, this text put forward a kind of image mosaic algorithm based on edge extended phase correlation. First use the iterative threshold segmentation method to detect the image edge, then carry on the extended phase correlation calculation on the detected edge, thus can obtain the image translation, rotation and scale changes; using these parameters in image mosaic, last use the gradual fade-out method to realize the fusion of image mosaic. Experimental results show that this algorithm can simplify the calculation and realize the mosaic of the UAV aerial images effectively.
Keywords :
autonomous aerial vehicles; edge detection; geophysical image processing; image fusion; image segmentation; iterative methods; remote sensing; UAV aerial images; UAV image mosaic method; edge extended phase correlation; gradual fade-out method; image edge detection; image mosaic fusion; image translation; iterative threshold segmentation method; phase correlation; rotation changes; scale changes; Correlation; Image edge detection; Image segmentation; Iterative methods; Military aircraft; Noise; Transforms; extended phase correlation; image fusion; image mosaic; image registration; the UAV aerial images;
Conference_Titel :
Control & Automation (ICCA), 11th IEEE International Conference on
Conference_Location :
Taichung
DOI :
10.1109/ICCA.2014.6871126
