Work

Detection of Steel Surface Defects Based on Optimised YOLOv9 Mode

Year: 2024

Type: conference-paper

Source: International Conference on Image Processing, Computer Vision and Machine Learning (ICICML)

DOI: 10.1109/icicml63543.2024.10958044

Authors: Sijia Peng, Hengjun Mo, Cong Chen, Ming Dai, Wen Zhang, Xu Fang

Institutions: Shenzhen Polytechnic University, Hainan Tropical Ocean University

Language: English

Topic: Industrial Vision Systems and Defect Detection

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funder: Shenzhen Polytechnic

OpenAlex ID: W4409426416

FWCI:

Cites: 15

Cited by:

Related to: 10