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Contour Primitives of Interest Extraction Method for Microscopic Images and Its Application on Pose Measurement

文献类型：期刊论文

作者Qin, Fangbo1,2; Shen, Fei1,2; Zhang, Dapeng1,2; Liu, Xilong1,2; Xu, De1,2
刊名IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
出版日期2018-08-01
卷号48期号:8页码:1348-1359
关键词Geometric constraint image feature extraction microscopic vision pose measurement precision assembly
ISSN号2168-2216
DOI10.1109/TSMC.2017.2669219
通讯作者Xu, De(de.xu@ia.ac.cn)
英文摘要This paper proposes a suite of methods to realize high precision pose measurement in 3-D Cartesian space based on a multicamera microscopic vision system. Since it is inefficient to develop a specific image algorithm for each kind of object and the imaging condition might be unsatisfactory, we propose a method of contour primitives of interest extraction, which allows flexible reconfiguration for novel object image and owns robustness under different imaging conditions. The object is detected in grayscale image based on a template of contour primitives. Edges are extracted according to derivatives along the normal vectors of these contour primitives. The positions and directional derivatives of these edges are used for feature extraction and autofocus, respectively. The point features and line features extracted from multiview images are utilized to measure 3-D vectors and orientations, respectively, based on image Jacobian matrices. Cameras' linear motions are considered in the imaging model, so that the measurement range is expanded beyond the limitation of microscopes' shallow depths of field. The affine epipolar constraint and focused planes intersection constraint between cameras are applied to improve the real time performances of image feature extraction and multicamera autofocus, respectively. A series of experiments are conducted to verify the effectiveness of the proposed methods. The root mean square errors of pose measurement arc evaluated as 3 mu m in position and 0.05 degrees in orientation, while the measurement range is about 5000 mu m in position and 20 degrees in orientation.
WOS关键词VISION-BASED CONTROL ; HOUGH TRANSFORM ; ALGORITHM
资助项目National Natural Science Foundation of China[61227804] ; National Natural Science Foundation of China[61421004] ; National Natural Science Foundation of China[61503378] ; National Natural Science Foundation of China[61673383]
WOS研究方向Automation & Control Systems ; Computer Science
语种英语
WOS记录号WOS:000439358200011
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构National Natural Science Foundation of China
源URL[http://ir.ia.ac.cn/handle/173211/23595]  
专题精密感知与控制研究中心_精密感知与控制
通讯作者Xu, De
作者单位1.Chinese Acad Sci, Res Ctr Precis Sensing & Control, Inst Automat, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Sch Comp & Control Engn, Beijing 101408, Peoples R China
推荐引用方式
GB/T 7714		 Qin, Fangbo,Shen, Fei,Zhang, Dapeng,et al. Contour Primitives of Interest Extraction Method for Microscopic Images and Its Application on Pose Measurement[J]. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS,2018,48(8):1348-1359.
APA Qin, Fangbo,Shen, Fei,Zhang, Dapeng,Liu, Xilong,&Xu, De.(2018).Contour Primitives of Interest Extraction Method for Microscopic Images and Its Application on Pose Measurement.IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS,48(8),1348-1359.
MLA Qin, Fangbo,et al."Contour Primitives of Interest Extraction Method for Microscopic Images and Its Application on Pose Measurement".IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS 48.8(2018):1348-1359.

入库方式： OAI收割

来源：自动化研究所

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