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A simple algorithm for pitch distance determination

机译:一种简单的俯仰距离确定算法

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The paper describes algorithms used for the determination of pitch distances in the calibration of optical scales. The algorithm used to calculate the edges in the digital image captured by the camera is based on a fuzzy inference engine. It has a simple rule set which provides a robust solution to the problem. The gray level values of the pixels are converted to fuzzy membership values, upon which the inference engine works. As a result pixels are categorized as black, whiter or edge pixels. The algorithm used to calculate the centreline of the graduation or measuring line is derived from the centre of gravity formed by the gray values of the individual pixels. The resistance of the algorithm to various distortions on the scale was investigated using real objects.
机译:本文介绍了用于确定光学尺度校准中的节距距离的算法。用于计算由相机捕获的数字图像中的边缘的算法基于模糊推理引擎。它具有一个简单的规则集,它为问题提供了强大的解决方案。像素的灰度级值被转换为模糊的成员资格值,推动引擎的工作原理。结果,像素被分类为黑色,更白或边缘像素。用于计算刻度或测量线的中心线的算法源自由各个像素的灰度值形成的重心。使用真实物体研究了算法对规模上的各种失真的阻力。

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