基于复合光照和图像融合的雕刻表面缺陷检测成像方法

Yanbo Zhang, G. Lu
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引用次数: 0

摘要

随着计算机技术的发展,机器视觉在工业检测中发挥着越来越重要的作用,而光源就是其中非常重要的一部分。目前,大多数光源都是基于单一的照明方式,这就限制了对3D光学表面(如透镜)上多种类型缺陷的检测。因此,工业相机所获得的图像不能完全呈现这些缺陷信息。为了克服上述问题,本文提出了一种复合光源融合图像处理的智能方法,实现了多缺陷目标的高质量成像。最后,建立了实验验证系统,验证了本文方法的有效性。
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An Imaging Method for Sculptured Surface Defect Detection Based on Compound Lighting and Image Fusion
With the development of computer technology, machine vision plays an increasingly important function in industrial detection, and light source is a very important part of it. At present, most of the light sources are based on a single way of illumination, which results in limitations in the detection of multiple types of defects on 3D optical surfaces (such as lenses). Therefore, the images acquired by industrial cameras cannot fully present these defect information. In order to overcome the above problems, this article proposes an intelligent method of composite light source fusion image processing, which realizes high-quality imaging of multi-defect targets. Finally, an experimental verification system is built to verify the effectiveness of the method proposed in this article.
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