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Structured Contour Primitives Extraction for Microscopic Images and Application on High Precision Pose Measurement
Fangbo Qin1,2; Fei Shen1,2; Dapeng Zhang1,2; Xilong Liu1,2; De Xu1,2
Source PublicationIEEE Transactions on Systems, Man, and Cybernetics: Systems
2017
IssueXPages:1-12
AbstractThis paper proposes a suite of methods to realize high precision pose measurement in three-dimensional (3D) Cartesian space based on a multi-camera 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 (CPIE), 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 multi-view images are utilized to measure 3D 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 multi-camera autofocus, respectively. A series of experiments are conducted to verify the effectiveness of the proposed methods. The root mean square errors of pose measurement are evaluated as 3μm in position and 0.05° in orientation, while the measurement range is about 5000μm in position and 20° in orientation.
KeywordMicroscopic Vision Image Feature Extraction Pose Measurement Geometric Constraint Precision Assembly
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/19789
Collection精密感知与控制研究中心_精密感知与控制
Affiliation1.Research Center of Precision Sensing and Control, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
2.School of Computer and Control Engineering, University of Chinese Academy of Sciences, Beijing 101408, China.
Recommended Citation
GB/T 7714
Fangbo Qin,Fei Shen,Dapeng Zhang,et al. Structured Contour Primitives Extraction for Microscopic Images and Application on High Precision Pose Measurement[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems,2017(X):1-12.
APA Fangbo Qin,Fei Shen,Dapeng Zhang,Xilong Liu,&De Xu.(2017).Structured Contour Primitives Extraction for Microscopic Images and Application on High Precision Pose Measurement.IEEE Transactions on Systems, Man, and Cybernetics: Systems(X),1-12.
MLA Fangbo Qin,et al."Structured Contour Primitives Extraction for Microscopic Images and Application on High Precision Pose Measurement".IEEE Transactions on Systems, Man, and Cybernetics: Systems .X(2017):1-12.
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