Image Stitching Algorithm Based on Template Matching Algorithm
To address the issues related to stitching time and stitching speed in panoramic image stitching of multiple frames,three methods of ineffective image filtering were proposed,including detecting image edge information for filtering,calculating image entropy for filtering,and filtering image variance data.Due to the possibility of upper and lower offset during the image stitching process,a border was added to the original image to make the image matching more accurate in the upper and lower positions.Finally,for the completed image results,feature point detection algorithm was used to detect feature points in the image,and combined with direct fitting method,the image tilt angle is obtained and the image was corrected for tilt.The experimental results effectively demonstrate that the improved algorithm meets the real-time requirements and improves the similarity of OCR recognition results.
万方数据
维普
