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基于改進(jìn)尺度不變特征變換的手術(shù)室多視點(diǎn)圖像拼接算法

Multi-view image mosaic algorithm based on improved scale invariant feature transform in operation room application

作者: 梁楠  賈博奇  張夢詩  王宇  武博  張楠 
單位:<span style="font-size:14px;font-family:宋體">首都醫(yī)科大學(xué)生物醫(yī)學(xué)工程學(xué)院(北京100069)</span>
關(guān)鍵詞: 圖像拼接;多視點(diǎn)手術(shù)圖像;尺度不變特征變換;圖像配準(zhǔn);加權(quán)融合算法 
分類號(hào):<span style="font-size:14px;font-family:&#39;Times New Roman&#39;,serif">R318.04</span>
出版年·卷·期(頁碼):2018·37·1(9-14)
摘要:

目的 為了提高手術(shù)室環(huán)境下拼接后全景圖像的主觀質(zhì)量,本文提出一種基于改進(jìn)尺度不變特征變換(scale invariant feature transformSIFT)的手術(shù)室多視點(diǎn)圖像拼接算法。方法 基于SIFT特征點(diǎn)匹配算法,依據(jù)手術(shù)室采集設(shè)備為平行攝像機(jī)且獲取的兩視點(diǎn)高關(guān)注區(qū)域重疊較寬泛的特點(diǎn),提出采用局部加權(quán)融合的拼接算法消除拼接重影,并在局部加權(quán)融合算法下,對(duì)參與圖像空間變換的特征點(diǎn)在垂直方向增加約束,篩選出正確匹配特征點(diǎn)對(duì)以消除拼接折痕。結(jié)果 此算法解決了手術(shù)室拼接圖像中手術(shù)衣的袖子、手術(shù)剪和手套的重影及治療巾位置拼縫不對(duì)齊的問題,即消除了術(shù)野高關(guān)注度下的拼接重影及誤匹配帶來的拼接折痕,保證了兩幅圖像拼縫后的平滑過渡。結(jié)論 基于改進(jìn)SIFT特征點(diǎn)匹配的算法獲得了較好的主觀手術(shù)畫面的拼接質(zhì)量。

Objective  In order to improve the subjective quality of the stitched panoramic image taken in the operation room, a multi-view image mosaic algorithm based on improved scale invariant feature transform (SIFT) is proposed.Methods An algorithm with local weighted fusion was proposed to eliminate splicing ghosting phenomenon . Moreover, to eliminate stitching crease phenomenon in stitched images, new constraints were proposed and applied in vertical image space transformation to select the accurate matching feature points. Results The proposed algorithm solved the problem of mosaic in the stitched images, for example, the quilting appeared at the sleeve of the surgical gown, the operation shears, the gloves and uneven treatment towel position. Conclusion Better subjective quality of the stitched panoramic operation images is achieved by using the improved algorithm.

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