相机色彩识别:一种有监督的分类算法

T. Lalanne, C. Lempereur
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引用次数: 29

摘要

本文提出了一种基于神经元技术的颜色识别算法,应用于热敏涂料的表征。这种涂层的颜色随着温度的变化而变化,例如,可以在燃气涡轮发动机部件上建立温度图。在制定分类算法后,对热漆样品集进行了性能评估。研究了光照的影响。将结果与更经典的分割算法进行了比较。最后得到了试样的温度曲线。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Color recognition with a camera: a supervised algorithm for classification
This paper presents a color recognition algorithm using neuronal techniques, applied to the characterization of thermal paints. The color of such a coating changes with temperature, allowing temperature maps to be established on gas turbine engine components for instance. After a formulation of the classification algorithm, performances are evaluated on a thermal paint samples set. The influence of lighting is studied. The results are compared with those obtained by more classical segmentation algorithms. A temperature profile on a test piece is finally achieved.
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