摘要
文章以汽车电机中的主要磁性产品表面缺陷检测为研究对象,结合图像处理、机器视觉、智能计算等理论知识,通过理论分析、数值模拟和实验研究磁材表面纹理的抑制、缺陷区域检测、缺陷特征提取及缺陷类型的智能识别,进一步开发基于图像处理的磁材微缺陷可视化在线无损检测系统。
The object is surface defect detection of small magnetic of Motor vehicle. Through image processing, numerical simulation and experimental research, the surface texture suppression of magnetic, the defect region detection based on visual saliency, the defect feature extraction with significant influence and the intelligent recognition of defect types will be studied combined with human visual perception,Further, a visual inspection system of small magnetic based on image processing will be developed.
出处
《科技创新与应用》
2017年第30期23-24,共2页
Technology Innovation and Application
关键词
图像处理
磁性产品
缺陷检测
image processing
Magnetic products
Defect detection
