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【答案】应助回帖
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xiuzi0731: 金币+35, 翻译EPI+1, ★有帮助, 感谢版主 2014-09-04 08:15:39
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To overcome the problem of cell image sequence blur, bad robust of the traditional extraction method,too much pseudo matching points,long time of the image matching, bad effect of integration,etc.;we presented a good robust ,quick ,and accurate image stitching algorithm. The presented algorithm is based on,firstly,scale-invariant (SIFT) algorithm to extract featured points of the cell image and improved BBF (Best-Bin-First) algorithm to initially set a two-way matching of the featured set. Then,the matching point was further purified and homography estimated by the use of random sampling consistency (RANSAC) algorithm .Finally,the homography relationship of the cell image sequences was projected to standardized plane coordinate system for seamless fusion of the image through a tower- typed structure fusion algorithm of multi-resolution to complete panorama stitching. Results showed that moderate amount extracted feature points were evenly distributed,mismatches were reduced,and the algorithm can realize seamless fusion of microscopic panorama effectively. |
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