基于计算机视觉技术的皮革瑕疵检验研究
Research on Leather Defect Inspection based on Computer Vision Technology
陈楠1
作者信息
- 1. 陕西财经职业技术学院,陕西咸阳 712099
- 折叠
摘要
为了解决传统皮革瑕疵检验系统效率低下、一致性差、准确性有限等问题,提高天然皮革表面瑕疵检验的准确率,采用计算机视觉技术、深度学习算法对皮革瑕疵检验系统进行优化设计,并结合传统皮革瑕疵检验系统进行测试对比.结果表明,基于计算机视觉技术的皮革瑕疵检验系统具有较强的非线性拟合能力,能够识别复杂的瑕疵形状、大小等变化,能够有效提高天然皮革瑕疵检验效率.
Abstract
In order to address the issues of low efficiency,poor consistency,and limited accuracy in traditional leather defect inspection systems,and to enhance the accuracy of natural leather surface defect inspection,an optimized design of the leather defect inspection system using computer vision technology and deep learning algorithms is proposed.The system is tested and compared with traditional leather defect inspection systems.The results indicate that the computer vision-based leather defect inspection system exhibits strong non-linear fitting capabilities,enabling it to recognize complex variations in defect shapes and sizes,thus effectively improving the efficiency of natural leather defect inspection.
关键词
计算机视觉技术/深度学习/皮革瑕疵/检验系统/准确率Key words
computer vision technology/deep learning/leather defect/inspection system/accuracy引用本文复制引用
出版年
2024
NETL
NSTL
万方数据