NDLI: Computer vision system for high temperature measurements of surface properties

Content Provider	Springer Nature Link
Author	Fabijańska, Anna Sankowski, Dominik
Copyright Year	2008
Abstract	Recently, computer vision systems have become very popular. They are of great importance in almost every field of science, engineering and industry. Present-day vision systems allow to obtain information that is normally not distinguishable by humans. It is possible due to use of appropriate digital image processing and analysis algorithms. The paper explains importance of proper image processing algorithms selection for computer vision applications. Particular industrial image quantitative analysis systems are considered. Computerized system for high-temperature measurements of surface properties is used as an example. The system is capable of measuring wetting angle and surface tension of metals, alloys and other materials (e.g. glass) in temperatures up to 1,800°C. A brief description of the system is given. Particularly, attention is paid to preprocessing algorithms. They consider not only typical factors that usually accompany digital images founded analysis but also specificity of images obtained during the measurement process as well. Correction of factors arising from CCD camera electronic components and reduction of aura (glow that appears around specimen in high temperatures) affects with high quality image segmentation. In consequence the accuracy of surface parameters determination is increased.
Starting Page	411
Ending Page	421
Page Count	11
File Format	PDF
ISSN	09328092
Journal	Machine Vision and Applications
Volume Number	20
Issue Number	6
e-ISSN	14321769
Language	English
Publisher	Springer-Verlag
Publisher Date	2008-04-10
Publisher Place	Berlin/Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Digital image processing Image quantitative analysis system High-temperature measurements Surface properties CCD camera Image enhancement Communications Engineering, Networks Image Processing and Computer Vision Pattern Recognition
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Computer Science Applications Software Hardware and Architecture

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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