1. Anhui Key Laboratory of Natural Disaster Process and Prevention, Wuhu Anhui 241000, China 2. College of Territorial Resources and Tourism, Anhui Normal University, Wuhu Anhui 241000, China 3. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan Hubei 430079, China
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.
2012, Vol. 32 
