A deep region-based pyramid neural network for automatic detection and multi-classification of various surface defects of aluminum alloys

• المؤلفون الرئيسيون: Chen, Keyu, Zeng, Zhaoyang, Yang, Jianfei
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2022
• الموضوعات: Engineering::Electrical and electronic engineering; Aluminum Alloys; Defect Detection
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/159837

Aluminum alloys have a wide range of applications in building and civil infrastructure. During the process of production, transportation and storage, various defects inevitably occur on the material, including blisters, scratches, base exposure, dirty points, etc. The efficiency and accuracy of defe...