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System of Computer Vision for Cold-Rolled Metal Quality Control

机译：冷轧金属质量控制计算机视觉系统

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摘要

In this paper general methods, model and algorithms for designing measuring system of computer vision for cold-rolled metal quality control was proposed. Technique of recognition of surface defects containing three steps (defect detection, defect region extraction and defect class recognition) was proposed. Technique of defect detection based on wavelet transform were proposed. Technique of defect region extraction that allows to exclude textural component of image and to localize the spatial position of the defect was developed. Defect features were extracted. Technique and algorithms of defect recognition were developed. Designing measuring system of computer vision for cold-rolled metal quality control was developed.
机译：提出了设计冷轧金属质量控制计算机视觉测量系统的一般方法，模型和算法。提出了表面缺陷识别技术，该技术包括三个步骤（缺陷检测，缺陷区域提取和缺陷类别识别）。提出了基于小波变换的缺陷检测技术。开发了缺陷区域提取技术，该技术可以排除图像的纹理成分并定位缺陷的空间位置。提取缺陷特征。开发了缺陷识别技术和算法。开发了用于冷轧金属质量控制的计算机视觉设计测量系统。

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