基于多特征值综合目标提取技术的注塑零件表面缺陷检测方法

Surface Defect Detection Method for Injection Parts Based on Multi-Feature Integrated Target Extraction Technology

摘要: 针对注塑件表面缺陷的特点，提出了一种基于多特征值综合目标提取技术的表面缺陷检测方法。通过分析注塑件表面缺陷的特点，综合运用几何、纹理和变换系数目标提取技术，通过数据降维确定了13个类别差异明显的特征参数，提取了注塑件表面缺陷特征；基于13个特征值，运用类距离正态二叉树支持向量机作为表面缺陷的分类器进行缺陷判断。实验表明，采用的基于目标提取技术的表面缺陷检测方法，能够有效的进行综合目标提取，进而实现注塑件表面缺陷缺陷准确检测。

Abstract: Aimed at the characteristics of surface defects of injection parts, a method of surface defect detection based on multi-feature integrated target extraction is proposed. Characteristics of surface defects of injection molded parts were analyzed. With target extraction technologies of features of geometry, texture and transform coefficients, 13 different characteristic parameters were extracted through the data dimensionality reduction and the surface defect characteristics were determined. Based on 13 characteristic values, class distance normal binary tree SVM was used as the classifier of surface defect for defect judgment. Experiment shows that the surface defect detection method can effectively extract the integrated targets, and then achieves accurate detection of the surface defects in injection parts.