关键词: Harris角点, 图像匹配, RANSAC算法, 极线约束, 双向松弛整体匹配, 序列图像拼接

Abstract: Considering the low robustness, large computation and low automation in the traditional image mosaic method, a robust automatic image sequence mosaic method was proposed. First, the method used Harris operator and Forstner operator to extract the image character points after using Wallis filter to enhance the images. Then the gray cross correlation of the certain domain of the character points was utilized to obtain the rough matching points, and the RANSAC algorithm was used to get accurate image matching points. After that, the matching points were used to calculate the foundation matrix and epipolar lines, and the epipolar constraint was used to induct the image matching and get the final high precise matching points. Hence, bidirectional relaxation whole matching algorithm was used to eliminate the error matching points located on the epipolar line. Finally, the accurate matching points were utilized to calculate the affine transform relations of the image sequence and thus completed the image sequence auto-mosaic. The experimental results show that the proposed method is effective in image sequence mosaic, and the process is automatic with high practical value.

Key words: Harris corner, image matching, RANSAC algorithm, epipolar constraint, bidirectional relaxation whole mathing algorithm, image sequence mosaic