半透明样品的颜色分选

G. Pavlidis
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引用次数: 0

摘要

基于计算机视觉技术的自动化质量控制和分拣在工业过程和生产中已经是一个长期的著名实践。在这种系统中,在指导决策的表面特征中,颜色占据着突出的地位。在处理半透明样品或具有大量透明度的样品和独特的色调的情况下,这变得有些复杂。本文的范围是提供一种解决此类情况的方法,并介绍了一种成功应用于世界著名的基俄斯乳香树的方法,这是一种从生长在希腊基俄斯岛的乳香树中提取的天然芳香半透明树脂。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Colour sorting of translucent samples
Automated quality control and sorting based on computer vision techniques has been a long celebrated practice in industrial processes and production. Among the surface characteristics that guide the decision making in such systems, the colour holds a prominent position. This gets somehow complicated in cases dealing with translucent samples or samples with a significant amount of transparency and yet distinctive colour hues. The scope of this paper is to provide a method to tackle with such cases and presents a successful application to the world-renowned mastiha of Chios, a natural aromatic translucent resin extracted from the mastic tree that grows on the island of Chios, Greece.
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