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Estimation of Error in Distance, Length, and Angular Measurements Using CCD Pixel Counting Technique
MAPAN ( IF 1.0 ) Pub Date : 2021-05-17 , DOI: 10.1007/s12647-021-00463-z
Rajeev Dwivedi , Swati Gangwar , Shibu Saha , V. K. Jaiswal , Ranjana Mehrotra , Mukesh Jewariya , Girija Mona , Rina Sharma , Parag Sharma

The pixel counting technique (PCT) has recently emerged as a promising method for the measurement of the dimensions of an object, showing significance in the applications like monitoring the traffic on roads, measuring the dimension of a biological sample, and many more. Therefore, measuring the accuracy of PCT is the topic of current research. The focus of our study is to evaluate the percentage error in the measurement of length, distance, and angle using PCT. The calculated maximum percentage errors in the length, distance, and angle measurements are 1.3%, 1.01%, and 3.9%, with maximum uncertainty due to repeatability of 0.4%, 0.29%, and 0.88%, respectively. The study outcomes conclude that the object visibility and illumination parameters play a significant role in estimating the uncertainty in the PCT-based object dimension calculations, especially angular measurements. This study will be beneficial for estimating the accuracy of PCT.



中文翻译:

使用CCD像素计数技术估算距离,长度和角度测量中的误差

像素计数技术(PCT)最近作为一种有希望的方法用于测量对象的尺寸而出现,在诸如监视道路交通,测量生物样品的尺寸等应用中显示出了重要意义。因此,测量PCT的准确性是当前研究的主题。我们研究的重点是评估使用PCT测量长度,距离和角度时的百分比误差。计算得出的长度,距离和角度测量中的最大百分比误差为1.3%,1.01%和3.9%,由于可重复性分别为0.4%,0.29%和0.88%,因此最大不确定性。研究结果得出结论,在基于PCT的对象尺寸计算中,对象可见性和照明参数在估计不确定性方面起着重要作用,尤其是角度测量。这项研究将有助于估计PCT的准确性。

更新日期:2021-05-17
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