Machine Vision Using Penumbra Analysis

Javier Pinataro-Plata, José Miguel David Báez-López
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Abstract

Machine vision is the ability of a computer system to recognize object shapes, size, color, or distance to some point. Here we present a system capable to recognize the size of an object as well as its distance to an observation plane, by using the shadow that the object produces on this plane. The shadow is formed by a dark zone called umbra and an intermediate zone between the dark zone and the bright one called penumbra. The penumbra is used to correlate the diameter of the object producing it and the distance to the plane where the shadow is projected. The system is capable of measuring milimetric dimensions, with a precision of tenths of a milimeter,and to evaluate its distance to the plane with the same precision. MATLAB is used as the computing engine. Experimental results are reported.
使用半影分析的机器视觉
机器视觉是计算机系统识别物体形状、大小、颜色或距离的能力。在这里,我们提出了一个系统,能够识别一个对象的大小,以及它的距离观察平面,通过使用该对象产生的阴影在这个平面上。阴影是由一个叫做本影的暗区和一个介于暗区和亮区之间的叫做半影的中间区组成的。半影用于关联产生它的物体的直径和到投影平面的距离。该系统能够以十分之一毫米的精度测量毫米尺寸,并以相同的精度评估其到平面的距离。使用MATLAB作为计算引擎。并报道了实验结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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