Calibration Method for Stereovision Measurement of High-Temperature Components Using Two Infrared Cameras

Author:

Song Le, ,Zhang Zi-Hui

Abstract

The infrared vision measurement method has some advantages over visible vision in the measurement of high-temperature components. Infrared imaging is based on different imaging principles, however, making it unreasonable to adopt a conventional visiblelight camera calibration method directly. The present study proposes a dual infrared-camera calibration program in which we use the infrared imaging principle to measure high-temperature components threedimensionally. We use two ceramic balls as calibration targets against the background of an external hightemperature radiation source. Multiple feature points are generated from the precise movement of these targets. In order to improve the accuracy of the calibration method, we took the following approaches: A highly accurate edge-detection algorithm is realized by using a fuzzy neural network that is self-learning, self-adaptive, and utilizes fuzzy processing. We thus achieve a low signal-to-noise ratio and low contrast in infrared images. The distance between these two ceramic targets is used as a calibration reference to further reduce the temperature effect and to improve calibration accuracy and efficiency. The calibration results we got are an average residual error of 6.4134 µm and a variance of 2.9205 µm.

Publisher

Fuji Technology Press Ltd.

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering

Reference13 articles.

1. Q. H. Liu, “Theoretical and Experimental Research on 3D Size Measurement of High-temperature Components Based on Infrared Vision,” Tianjin: College of Precision Instrument and Optoelectronics engineering, Tianjin University, 2011. (in Chinese)

2. B. P. Amavasai, F. Caparrelli, A. Selvan, et al., “Machine vision methods for autonomous micro-robotic systems,” Kybernetes, Vol.34, No.9/10, pp. 1421-1439, 2005.

3. D. B. Gennery, “Generalized camera calibration including fish-eye lenses,” Int. J. of Computer Vision, Vol.68, No.3, pp. 239-266, 2006.

4. F. J. Zou, X. Y. Su, and M. J. Li, “Camera linear calibration method with a coplanar target,” Opto-Electronic Engineering, Vol.32, No.4, pp. 70-74, 2005. (in Chinese)

5. J. Pan and W. M. Li, “Algorithm of implementing 3D calibration board-based camera calibration,” Machinery & Electronics, Vol.5, pp. 3-5, 2007. (in Chinese)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3