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| 本帖產(chǎn)生 1 個 翻譯EPI ，點擊這里進行查看 | |||
xiuzi0731銀蟲 (小有名氣)
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[求助]
求助翻譯一段摘要
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| 針對細胞圖像序列模糊，傳統(tǒng)的特征提取方法魯棒性不強，偽匹配點對較多，圖像匹配耗時過長，融合效果不佳等問題，提出了一種強魯棒性、快速和精確的圖像拼接算法。該算法首先用基于尺度不變(SIFT)算法提取細胞圖像特征點；接著采用改進的BBF(Best-Bin-First)算法對特征集進行初始的雙向匹配；然后采用隨機抽樣一致性(RANSAC)算法對匹配點對進行進一步提純并估算出單應(yīng)性矩陣；最后根據(jù)細胞圖像序列之間的單應(yīng)性矩陣關(guān)系，將其投影到統(tǒng)一標(biāo)準(zhǔn)的平面坐標(biāo)系下，用具有塔型結(jié)構(gòu)的多分辨率融合算法對圖像進行無縫融合，完成全景圖拼接。實驗結(jié)果證明：該算法提取到的提取到的特征點分布均勻且數(shù)量適中，誤配情況明顯減少，能夠有效地實現(xiàn)顯微全景圖的無縫拼接。 |
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sunfeng_upc
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【答案】應(yīng)助回帖
RXMCDM: 好像翻得不行��！ 2014-09-03 17:47:19
| For the blurred cell image sequence , the traditional robust feature which is extracted is not evident, pseudo matching points more, image matching takes too long, the effect of poor integration and other issues, presents a strong robust, fast and accurate the image stitching algorithm. The algorithm is based on first with scale-invariant (SIFT) algorithm for image feature points extracted from the cells; then using the improved BBF (Best-Bin-First) algorithm features a two-way matching initial set; then use random sampling consistency (RANSAC) algorithm matching point for further purification and estimate the homography; Finally, according homography relationship between image sequences cells, down to its projection plane coordinate system of uniform standards, with a tower-type structure with multi-resolution seamless fusion algorithm for image fusion, complete panorama stitching. Experimental results show that: the algorithm to extract the feature points extracted to moderate amount evenly distributed and significantly reduce the mismatch situation, can effectively achieve seamless microscopic panorama. |
2樓2014-09-03 16:57:28
xiuzi0731
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3樓2014-09-03 17:35:40
xiuzi0731
銀蟲 (小有名氣)
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4樓2014-09-03 19:53:38
RXMCDM
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【答案】應(yīng)助回帖
★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★
xiuzi0731: 金幣+35, 翻譯EPI+1, ★有幫助, 感謝版主 2014-09-04 08:15:39
xiuzi0731: 金幣+35, 翻譯EPI+1, ★有幫助, 感謝版主 2014-09-04 08:15:39
| 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. |
5樓2014-09-03 23:42:23
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