An Efficient and Robust Image Quality Assessment Method for On Line Weld Pool Monitoring
Author(s) -
Zhenzhou Wang,
Yongming Yang
Publication year - 2017
Publication title -
destech transactions on engineering and technology research
Language(s) - English
Resource type - Journals
ISSN - 2475-885X
DOI - 10.12783/dtetr/icca2016/5993
Subject(s) - computer science , image quality , image (mathematics) , line (geometry) , quality (philosophy) , computer vision , computation , artificial intelligence , welding , stability (learning theory) , engineering , algorithm , mathematics , machine learning , mechanical engineering , geometry , epistemology , philosophy
Image quality characterizes the perceived image degradation and is of great importance in many industrial applications which use image quality assessment as their first step to select images. The accuracy and efficiency of the image quality assessment method is critical in many real time applications, e.g. on-line monitoring. In this paper, an efficient and effective image quality assessment method is proposed for on line weld pool monitoring. The proposed method assesses the image quality with a better stability compared to other evaluated state of art methods. In addition, the computation speed of the proposed method is also fast and suitable for on line applications.
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