Research on the new performance model for LLL TV imaging systems

2007 ◽  
Author(s):  
Kecong Ai ◽  
Liwei Zhou ◽  
Guilin Zeng ◽  
Yanxi Liang ◽  
Chen Wang ◽  
...  
Keyword(s):  
Performance Model ◽  
Imaging Systems

Synthesized performance model of thermal imaging systems based on natural background

2013 ◽  
Author(s):  
Song-lin Chen ◽  
Ji-hui Wang ◽  
Xiao-wei Wang ◽  
Wei-qi Jin
Keyword(s):  
Thermal Imaging ◽  
Performance Model ◽  
Imaging Systems ◽  
Natural Background

Proposals to set up the new performance model for thermal imaging systems

2007 ◽  
Author(s):  
Kecong Ai ◽  
Liwei Zhou ◽  
Xudong Li ◽  
Chen Wang
Keyword(s):  
Thermal Imaging ◽  
Performance Model ◽  
Imaging Systems ◽  
Set Up

TRM4: Range performance model for electro-optical imaging systems

2017 ◽  
Author(s):  
Stefan Keßler ◽  
Raanan Gal ◽  
Wolfgang Wittenstein
Keyword(s):  
Optical Imaging ◽  
Performance Model ◽  
Imaging Systems

Digital imaging and quantitative image analysis of polymer blends

1996 ◽  
Vol 54 ◽  
pp. 170-171
Author(s):  
Xiao Zhang
Keyword(s):  
Digital Imaging ◽  
Imaging Techniques ◽  
Imaging Systems ◽  
Polymer Science ◽  
Key Factors ◽  
Multiple Imaging ◽  
Quantitative Image ◽  
Digital Imaging Systems ◽  
Multi Phase ◽  
Network Technologies

Polymer microscopy involves multiple imaging techniques. Speed, simplicity, and productivity are key factors in running an industrial polymer microscopy lab. In polymer science, the morphology of a multi-phase blend is often the link between process and properties. The extent to which the researcher can quantify the morphology determines the strength of the link. To aid the polymer microscopist in these tasks, digital imaging systems are becoming more prevalent. Advances in computers, digital imaging hardware and software, and network technologies have made it possible to implement digital imaging systems in industrial microscopy labs.

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