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Contour primitives of interest extraction method for microscopic images and its application on pose measurement
Fangbo Qin1,2; Fei Shen1; Dapeng Zhang1; Xilong Liu1; De Xu1,2
Source PublicationIEEE Transactions on Systems, Man, and Cybernetics: Systems
2018
Volume48Issue:8Pages:1348–1359
Abstract

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 are evaluated as 3 μm in position and 0.05° in orientation, while the measurement range is about 5000 μm in position and 20° in orientation.

KeywordGeometric Constraint , Image Feature Extraction , Microscopic Vision , Pose Measurement , Precision Assembly
DOI10.1109/TSMC.2017.2669219
Indexed BySCI
Language英语
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/23595
Collection精密感知与控制研究中心_精密感知与控制
Corresponding AuthorDe Xu
Affiliation1.中国科学院自动化研究所
2.中国科学院大学人工智能学院
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Fangbo Qin,Fei Shen,Dapeng Zhang,et al. Contour primitives of interest extraction method for microscopic images and its application on pose measurement[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems,2018,48(8):1348–1359.
APA Fangbo Qin,Fei Shen,Dapeng Zhang,Xilong Liu,&De Xu.(2018).Contour primitives of interest extraction method for microscopic images and its application on pose measurement.IEEE Transactions on Systems, Man, and Cybernetics: Systems,48(8),1348–1359.
MLA Fangbo Qin,et al."Contour primitives of interest extraction method for microscopic images and its application on pose measurement".IEEE Transactions on Systems, Man, and Cybernetics: Systems 48.8(2018):1348–1359.
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