Rapid image registration based on local grey scale gradient characteristics | |
Wen Jiangtao ; Wang Boxiong ; Qin Yao | |
2010-10-12 ; 2010-10-12 | |
关键词 | Application Practical Theoretical or Mathematical/ computer vision drugs edge detection image matching image registration image sampling impurities inspection mathematical operators matrix algebra medical image processing object detection/ rapid image sample registration algorithm local grey scale gradient characteristics machine vision detection edge point detection directional edge-detection operator 1D grey scale gradient matrix spine point 2D grey scale gradient matrix object matching medical ampoules impurity inspection error-free image ROI registration/ A8760 Medical and biomedical uses of fields, radiations, and radioactivity health physics A0210 Algebra, set theory, and graph theory B7510 Biomedical measurement and imaging B6135E Image recognition B0210 Algebra C7330 Biology and medical computing C5260B Computer vision and image processing techniques C1110 Algebra |
中文摘要 | Image registration efficiency is enhanced by a rapid image registration algorithm based on the local grey scale gradient characteristics for ROI registration of neighboring images in machine vision detection. When the sample to be registered has the same view direction as neighboring images. The algorithm first detects some edge points as characteristic points with a directional edge-detection operator. The 1-D grey scale gradient matrixes of a finite number of pixels distributed symmetrically on both sides of each edge point with each edge point as a spine point are combined into a 2-D grey scale gradient matrix. The offset of the object matrix is then determined by matching the 2-D grey scale gradient matrixes to realize the image registration. The algorithm is being used for ROI registration for medical ampoules impurity inspections error-free image ROI registration. |
语种 | 中文 |
出版者 | Tsinghua University Press ; China |
内容类型 | 期刊论文 |
源URL | [http://hdl.handle.net/123456789/80357] ![]() |
专题 | 清华大学 |
推荐引用方式 GB/T 7714 | Wen Jiangtao,Wang Boxiong,Qin Yao. Rapid image registration based on local grey scale gradient characteristics[J],2010, 2010. |
APA | Wen Jiangtao,Wang Boxiong,&Qin Yao.(2010).Rapid image registration based on local grey scale gradient characteristics.. |
MLA | Wen Jiangtao,et al."Rapid image registration based on local grey scale gradient characteristics".(2010). |
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