Research on Color Vision Tool Design Based on Detection Algorithms

Kun Zhang, Bo Zhang, Yue-wu Li, Shao-guang Zhang, Yu-sen Tao, Yong-xu Liu

2023

Abstract

Accurate identification can quickly determine the state of the target, which is of great significance in both military and industrial production. This article designs several sets of experiments based on detection algorithms to evaluate the applicability and operational efficiency of color detection tools. The experimental results show that, compared with the color detection tool in Cognex DIP, the color detection tool basically meets the design requirements and is equivalent in efficiency to the reference software. It can be applied to military target recognition and industrial applications.

Paper Citation

in Harvard Style

Zhang K., Zhang B., Li Y., Zhang S., Tao Y. and Liu Y. (2023). Research on Color Vision Tool Design Based on Detection Algorithms. In Proceedings of the 2nd International Seminar on Artificial Intelligence, Networking and Information Technology - Volume 1: ANIT; ISBN 978-989-758-677-4, SciTePress, pages 20-25. DOI: 10.5220/0012273100003807

in Bibtex Style

@conference{anit23,
author={Kun Zhang and Bo Zhang and Yue-wu Li and Shao-guang Zhang and Yu-sen Tao and Yong-xu Liu},
title={Research on Color Vision Tool Design Based on Detection Algorithms},
booktitle={Proceedings of the 2nd International Seminar on Artificial Intelligence, Networking and Information Technology - Volume 1: ANIT},
year={2023},
pages={20-25},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012273100003807},
isbn={978-989-758-677-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Seminar on Artificial Intelligence, Networking and Information Technology - Volume 1: ANIT
TI - Research on Color Vision Tool Design Based on Detection Algorithms
SN - 978-989-758-677-4
AU - Zhang K.
AU - Zhang B.
AU - Li Y.
AU - Zhang S.
AU - Tao Y.
AU - Liu Y.
PY - 2023
SP - 20
EP - 25
DO - 10.5220/0012273100003807
PB - SciTePress