Segmentation-free approaches of computer vision for automatic calibration of digital and analog instruments

被引:60
作者
Belan, P. A. [1 ]
Araujo, S. A. [1 ]
Librantz, A. F. H. [1 ]
机构
[1] Univ Nove Julho UNINOVE, Ind Engn Post Grad Program, Sao Paulo, Brazil
关键词
Calibration; Computer vision; Digital instruments; Analog instruments; Template matching; Radial projections; ALGORITHM;
D O I
10.1016/j.measurement.2012.06.005
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
A common problem found in the calibration laboratories is the reliability of the results obtained from calibration of instruments, especially when they do not have a built-in communication interface. In this case, the time consuming is increased significantly and the calibration may be subject to human error. Thus, many approaches based on computer vision have been proposed in the literature for automating calibration processes. However, most of them first simplify the images, usually using operations such as segmentation/binarization, for after proceeds the recognition of the digits. The issue lies in the fact that these simplifying operations throw away the rich grayscale information, decreasing the robustness of the algorithms, mainly when the images are affected by illumination changes, noise or JPEG compression. In this paper it was proposed two segmentation-free algorithms for automating the calibration process of digital and analog measuring instruments without built-in communication interface. The first one is based on template matching with normalized cross correlation for reading the display digits and the second uses radial projections and Bresenham algorithm to determine the pointer position in analog instruments. The experimental results showed that the proposed algorithms presented high accuracy and performance and can be used in real time systems applied to calibration processes. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:177 / 184
页数:8
相关论文
共 15 条
[1]   Computer vision applied to the automatic calibration of measuring instruments [J].
Alegria, FC ;
Serrá, AC .
MEASUREMENT, 2000, 28 (03) :185-195
[2]   Automatic calibration of analog and digital measuring instruments using computer vision [J].
Alegria, FC ;
Serra, AC .
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2000, 49 (01) :94-99
[3]  
Andria G, 2009, XIX IMEKO WORLD CONGRESS: FUNDAMENTAL AND APPLIED METROLOGY, PROCEEDINGS, P857
[4]   LINEAR ALGORITHM FOR INCREMENTAL DIGITAL DISPLAY OF CIRCULAR ARCS [J].
BRESENHAM, J .
COMMUNICATIONS OF THE ACM, 1977, 20 (02) :100-106
[5]   ALGORITHM FOR COMPUTER CONTROL OF A DIGITAL PLOTTER [J].
BRESENHAM, JE .
IBM SYSTEMS JOURNAL, 1965, 4 (01) :25-30
[6]   Ciratefi: An RST-invariant template matching with extension to color images [J].
de Araujo, Sidnei Alves ;
Kim, Hae Yong .
INTEGRATED COMPUTER-AIDED ENGINEERING, 2011, 18 (01) :75-90
[7]  
Gonzalez R.C., 2002, DIGITAL IMAGE PROCES, P793
[8]   High-accuracy automatic machine vision based calibration of micrometers [J].
Hemming, B. ;
Fagerlund, A. ;
Lassila, A. .
MEASUREMENT SCIENCE AND TECHNOLOGY, 2007, 18 (05) :1655-1660
[9]   Calibration of dial indicators using machine vision [J].
Hemming, B ;
Lehto, H .
MEASUREMENT SCIENCE AND TECHNOLOGY, 2002, 13 (01) :45-49
[10]   Fast normalized cross correlation for motion tracking using basis functions [J].
Hii, A. J. H. ;
Hann, C. E. ;
Chase, J. G. ;
Van Houten, E. E. W. .
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2006, 82 (02) :144-156