The U.S. cotton classification system has been undergoing significant changes, moving from human classing to the use of precise instruments. Along with this trend, the current research is an effort to develop a new computer vision system to measure detailed trash and color attributes of raw cotton. The system primarily consists of a color CCD camera, xenon flash light, and customized software. In this paper, we introduce a new trash and spot identification method, multidimension thresholding, and the methods for characterizing size, spatial density, shape, and color of trash and spots present in cotton samples. We report on the trash and color measurements of twelve cotton samples, including statistical data and distribution curves, and we compare the results from this system with those from other instruments such as the Spinlab and Motion Control HVI machines and the Minolta Chroma Meter CR-210. Finally, we investigate the influence of trash and spots on cotton color values.
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机译：美国的棉花分类系统已经发生了重大变化，从人类分类到使用精密仪器的转变。伴随着这一趋势，当前的研究致力于开发一种新的计算机视觉系统，以测量原棉的详细杂物和颜色属性。该系统主要由彩色CCD相机，氙气闪光灯和定制软件组成。在本文中，我们介绍了一种新的垃圾和斑点识别方法，多维阈值识别以及表征棉花样本中存在的垃圾和斑点的大小，空间密度，形状和颜色的方法。我们报告了十二个棉花样品的杂物和颜色测量结果，包括统计数据和分布曲线，并将该系统的结果与其他仪器（例如Spinlab和Motion Control HVI机器以及Minolta Chroma Meter CR-210）的结果进行了比较。最后，我们调查了垃圾和斑点对棉色值的影响。
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