Development of Digital Image Projection Techniques to Quantify Surface Film/Rivulet Flows

Author(s):  
Bin Wang ◽  
Song Zhang ◽  
Hui Hu
Author(s):  
David Zhang ◽  
Xiao-Yuan Jing ◽  
Jian Yang

This chapter presents two straightforward image projection techniques — two-dimensional (2D) image matrix-based principal component analysis (IMPCA, 2DPCA) and 2D image matrix-based Fisher linear discriminant analysis (IMLDA, 2DLDA). After a brief introduction, we first introduce IMPCA. Then IMLDA technology is given. As a result, we summarize some useful conclusions.


Sensors ◽  
2020 ◽  
Vol 20 (8) ◽  
pp. 2409
Author(s):  
Lingwei Zeng ◽  
Hanfeng Wang ◽  
Ying Li ◽  
Xuhui He

Digital image projection (DIP) with traditional vertical calibration cannot be used for measuring the water droplets/film on a curved surface, because significant systematic error will be introduced. An improved DIP technique with normal calibration is proposed in the present paper, including the principles, operation procedures and analysis of systematic errors, which was successfully applied to measuring the water droplets/film on a curved surface. By comparing the results of laser profiler, traditional DIP, improved DIP and theoretical analysis, advantages of the present improved DIP technique are highlighted.


Author(s):  
Jonathan Connolly ◽  
Matthew McGilvray ◽  
David R. Gillespie ◽  
Geoff Jones ◽  
Benjamin Collier

2015 ◽  
Vol 14 (1) ◽  
pp. 73-78
Author(s):  
Mie SATO ◽  
Satoru SUGAWARA ◽  
Masao KASUGA ◽  
Kenji HONDA ◽  
Naoki HASHIMOTO

Author(s):  
R. C. Gonzalez

Interest in digital image processing techniques dates back to the early 1920's, when digitized pictures of world news events were first transmitted by submarine cable between New York and London. Applications of digital image processing concepts, however, did not become widespread until the middle 1960's, when third-generation digital computers began to offer the speed and storage capabilities required for practical implementation of image processing algorithms. Since then, this area has experienced vigorous growth, having been a subject of interdisciplinary research in fields ranging from engineering and computer science to biology, chemistry, and medicine.


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