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大规模纤维切片图像拼接算法研究
引用本文:徐鑫华,董绍伟,邰文峰,王香香,薛卫,鲍宜汶.大规模纤维切片图像拼接算法研究[J].西北纺织工学院学报,2012(3):292-295.
作者姓名:徐鑫华  董绍伟  邰文峰  王香香  薛卫  鲍宜汶
作者单位:[1]南京出入境检验检疫局,江苏南京211106 [2]江苏出入境检验检疫局,江苏南京210001 [3]常州出入境检验检疫局,江苏常州213022 [4]南京农业大学,江苏南京210001
基金项目:国家质量监督检验检疫总局科研项目(2009IK101);国家质量监督检验检疫总局科研项目(2012IK111)
摘    要:以灰度归一化相似性度量值构建统一配准模型,实现显微镜下2D图像全局拼接.算法通过统一配准模型将图像配准过程与全局移位参数的获取过程结合在一起,用待配准图片的2个模板子图同时在已配准两幅相邻图片中进行搜索,寻找最佳拼接位置,最后使用2D灰度调整、图像融合算法修整图像.算法减少了一般全局拼接算法的非线性模型求解过程,提高了拼接速度,达到较好的拼接图像效果.

关 键 词:统一配准模型  图像拼接  图像配准  灰度调整  图像融合

Mosaic algorithm of large-scale microscope images of fiber sections
XU Xin-hua,DONG Shao-wei,TAI Wen-feng,WANG Xiang-xiang,XU Wei,BAO Yi-wen.Mosaic algorithm of large-scale microscope images of fiber sections[J].Journal of Northwest Institute of Textile Science and Technology,2012(3):292-295.
Authors:XU Xin-hua  DONG Shao-wei  TAI Wen-feng  WANG Xiang-xiang  XU Wei  BAO Yi-wen
Affiliation:1(1.Nanjing Entry-Exit Inspection and Quarantine Bureau,Nanjing 211106,China; 2.Jiangsu Entry-Exit Inspection and Quarantine Bureau,Nanjing 210001,China; 3.Changzhou Entry-Exit Inspection and Quarantine Bureau,Changzhou,Jiangsu 213022,China; 4.Nanjing Agricultural University,Nanjing 210001,China)
Abstract:A global 2D microscope image mosaic by the unified alignment model of gray-scale normalized similarity measure was constructed.Combined the image registration process and acquisition process of global displacement parameters together,algorithm searches two template subgraphs simultaneously in matched two adjacent pictures to match the best mosaic position.Finally,trims picture by 2D grayscale adjustment and image fusion.Algorithm reduces solution process of nonlinear model of the global mosaic,improves the mosaic speed,and achieves better image quality.
Keywords:unified alignment model  image mosaic  image alignment  grayscale adjustment  image fusion
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