北京生物医学工程2018，Vol.37Issue(1)：9-14,39,7.DOI:10.3969/j.issn.1002-3208.2018.01.002
基于改进尺度不变特征变换的手术室多视点图像拼接算法
Multi-view image mosaic algorithm based on improved scale invariant feature transform in operation room application
摘要
Abstract
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. Conclusions Better subjective quality of the stitched panoramic operation images is achieved by using the improved algorithm.关键词
图像拼接/多视点手术图像/尺度不变特征变换/图像配准/加权融合算法Key words
image stitching/multi-view surgery images/scale invariant feature transform/image registration/weighted fusion algorithm分类
医药卫生引用本文复制引用
梁楠,贾博奇,张梦诗,王宇,武博,张楠..基于改进尺度不变特征变换的手术室多视点图像拼接算法[J].北京生物医学工程,2018,37(1):9-14,39,7.基金项目
国家自然科学基金(61672362、61272255)、北京市自然科学基金(4172012)、北京市教育委员会科技发展计划一般项目(KM201710025011)、北京市优秀人才培养资助青年骨干个人项目(2016000020124G103)资助 （61672362、61272255）
