Research on Intelligent Processing Technology of Computer Image Recognition Based on Machine Vision

Li Xiong, Mo Zhou

2025

Abstract

With the continuous development of social technology, image recognition technology is widely used in various fields. Therefore, the detection and processing technology of image recognition is particularly important. Traditional detection technology can no longer meet the detection accuracy requirements of computer image recognition intelligent processing technology, and the evaluation is unreasonable. Therefore, this paper proposes an edge detection algorithm for innovative machine vision detection evaluation and analysis. Firstly, the primary vision theory is used to evaluate the collected information, and the indicators are divided according to the requirements of machine vision detection and evaluation to reduce the interference factors in machine vision detection and evaluation. Then, the primary vision theory evaluates the machine vision detection of computer image recognition, forms a machine vision detection evaluation scheme, and comprehensively analyzes the evaluation results of machine vision detection. MATLAB simulation shows that under certain evaluation criteria, the edge detection algorithm is better than the traditional detection technology in the evaluation accuracy and machine vision detection evaluation time of machine vision

Download


Paper Citation


in Harvard Style

Xiong L. and Zhou M. (2025). Research on Intelligent Processing Technology of Computer Image Recognition Based on Machine Vision. In Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT; ISBN 978-989-758-763-4, SciTePress, pages 315-319. DOI: 10.5220/0013540700004664


in Bibtex Style

@conference{incoft25,
author={Li Xiong and Mo Zhou},
title={Research on Intelligent Processing Technology of Computer Image Recognition Based on Machine Vision},
booktitle={Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT},
year={2025},
pages={315-319},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013540700004664},
isbn={978-989-758-763-4},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT
TI - Research on Intelligent Processing Technology of Computer Image Recognition Based on Machine Vision
SN - 978-989-758-763-4
AU - Xiong L.
AU - Zhou M.
PY - 2025
SP - 315
EP - 319
DO - 10.5220/0013540700004664
PB - SciTePress