CHARA CTERIZATION OF SEED DEFECTS IN HIGHLY SPECULAR SMOOTH COATED SURFACES
CHARA CTERIZATION OF SEED DEFECTS IN HIGHLY SPECULAR SMOOTH COATED SURFACES
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发表时间：
2004
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通讯作者：
Pradeep Gn;Anapraka Sam
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作者：
Pradeep Gn;Anapraka Sam
随着客户对涂料外观的期望不断提高，许多光滑的、高镜面的涂料（如汽车涂料）受到相当大的性能要求。因此，开发可靠的表面质量在线监测方法至关重要。对镜面涂层表面进行自动视觉评估，不仅可以为行业提供具有成本效益和可靠的解决方案，还可以促进实时反馈循环的实施。本论文的范围是检测技术的一个子集，它促进了表面质量的实时闭环控制，并集中在一个常见的表面缺陷-种子缺陷。本机器视觉系统设计以表面反射率模型为合理依据。利用单幅高对比度图像计算种子缺陷的高度；计算结果快速、准确地逼近了实际高度。
OF THESIS CHARACTERIZATION OF SEED DEFECTS IN HIGHLY SPECULAR SMOOTH COATED SURFACES Many smooth, highly specular coatings such as automotive paints are subjected to considerable performance demands as the customer expectations for appearance of coatings are continually increasing. Therefore it is vital to develop robust methods to monitor surface quality online. An automated visual assessment of specular coated surface that would not only provide a cost effective and reliable solution to the industries but also facilitate the implementation of a real-time feedback loop. The scope of this thesis is a subset of the inspection technology that facilitates real-time close loop control of the surface quality and concentrates on one common surface defect – the seed defect. This machine vision system design utilizes surface reflectance models as a rational basis. Using a single high-contrast image the height of the seed defect is computed; the result is obtained rapidly and is reasonably accurate approximation of the actual height.