Workpiece Segmentation Based on Improved YOLOv5 and SAM-Reference-Cited by-同舟云学术

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Workpiece Segmentation Based on Improved YOLOv5 and SAM

Published:2023-12-08 Issue: Volume:59 Page:465-470
ISSN:
Container-title:2023 2nd International Conference on Artificial Intelligence, Human-Computer Interaction and Robotics (AIHCIR)
language:
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Author:

Liu Zongshang¹,Mounzeo Breit Hilley²,Chen Yibo³,Li Guangwei⁴,Li Jinping¹

Affiliation:

1. School of Information Science and Engineering, University of Jinan, UJN,Jinan,China

2. School of Information Science and Engineering, University of Jinan, UJN,Brazzaville,republic of Congo

3. School of Information Science and Engineering, University of Jinan, UJN,Beijing,China

4. School of Electrical Engineering, University of Jinan, UJN,Jinan,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10505329/10505330/10505346.pdf?arnumber=10505346

Reference20 articles.

1. Research on robot arm motion control decision-making based on multi-agent reinforcement learning;Xiangxiang;Computer Engineering and Applications,2023

2. A review of autonomous operation technology for vision-driven robotic arms;Nan;Journal of Nanjing University of Information Science and Technology,2021

3. Rail image segmentation based on Otsu threshold method

4. Improved canny edge detection for remote sensing image segmentation;Lixia;Computer Engineering and Applications,2019

5. Product image detection based on improved faster rcnn and grabcut;Ming;computer system applications,2018

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