Extraction of Key Foreground Information from Visual Feedback Images for Contact Micromanipulation in Liquid Environment

Author:

Chen Jiancong1,Wang Huaping2,Bai Kailun3,Lin Kaijun1,Shi Qing2,Sun Tao2,Huang Qiang4,Fukuda Toshio4

Affiliation:

1. Intelligent Robotics Institute, School of Mechatronical Engineering, Beijing Institute of Technology,Beijing,China,100081

2. (Beijing Institute of Technology), Ministry of Education,Key Laboratory of Biomimetic Robots and Systems,Beijing,China,100081

3. Science and Technology on Space Physics Laboratory,Beijing,China,100076

4. Beijing Advanced Innovation Center for Intelligent Robots and Systems, Beijing Institute of Technology,Beijing,China,100081

Publisher

IEEE

Reference16 articles.

1. U-net: Convolutional networks for biomedical image segmentation;ronneberger;International Conference on Medical Image Computing and Computer-Assisted Intervention,2015

2. Automated red blood cells extraction from holographic images using fully convolutional neural networks

3. Yolov7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors;wang;arXiv preprint arXiv 2207 02696,2022

4. Yolov6: A single-stage object detection framework for industrial applications;li;arXiv preprint arXiv 2209 02976,2022

5. High-Speed Manipulation of Microobjects Using an Automated Two-Fingered Microhand for 3D Microassembly

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