基于机器视觉的表面缺陷检测关键技术
Key Technology of Surface Defect Detection Based on Machine Vision
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摘要: 通过总结近几年表面缺陷检测技术研究成果,从机器视觉系统,利用Matlab软件对钢材表面裂纹缺陷进行傅里叶变换及小波变换去噪技术,探讨了基于机器视觉的表面缺陷检测关键技术,以期达到可靠、高效地检测零件表面缺陷的目的,进而提高产品质量。Abstract: By summarizing the research results of surface defect detection technology in recent years, this paper discussed the key technology of surface defect detection based on machine vision system, fourier transform and wavelet transform denoising technology for steel surface crack defects by using Matlab software, in order to achieve the purpose of reliably and efficiently detecting surface defects of parts, and then improve product quality.