Effective matching algorithm of distorted images.

Autor: WANG Hua, CONG Jian-ting, HOU Xiang-shen, SUN Jin-wei
Předmět:
Zdroj: Journal of Harbin Institute of Technology. Social Sciences Edition / Haerbin Gongye Daxue Xuebao. Shehui Kexue Ban; 2010, Vol. 42 Issue 4, p597-601, 5p, 3 Black and White Photographs, 3 Diagrams, 2 Graphs
Abstrakt: The image distortion caused by lens reduces the quality of images and the processing of image correction is complex. A new effective matching algorithm of distorted images is proposed in this paper, which has two steps of the initial matching and the relaxation optimization matching. The circular projection method is applied in the initial matching step and the algorithm with characteristics of anti-rotation and anti-scale of rotating angle of vectors is applied as the optimization criterion of matching pairs. The value difference of the rotating angle of vectors should be calculated at first, and then the optimal matching pairs can be selected by using of the support function and the rules of rejection. Experimental results with a large number of images prove that the algorithm is still effective in the condition of large nonlinear distortion error of images. [ABSTRACT FROM AUTHOR]
Databáze: Supplemental Index