A nonlinear vector-based image interpolation method for increasing the frame rate in visual interactive simulation environments

2003 ◽  
Author(s):  
W. Zeise ◽  
M. Schnitzler ◽  
A. Kummert
Keyword(s):  
Interpolation Method ◽  
Image Interpolation ◽  
Frame Rate ◽  
Interactive Simulation ◽  
Visual Interactive Simulation ◽  
Nonlinear Vector ◽  
Simulation Environments

scholarly journals Simulating the Various Subsystems of a Coal Mine

2016 ◽  
Vol 6 (3) ◽  
pp. 993-999 ◽  
Author(s):  
V. Okolnishnikov ◽  
S. Rudometov ◽  
S. Zhuravlev
Keyword(s):  
Control Systems ◽  
Coal Mine ◽  
Simulation Models ◽  
Simulation System ◽  
Interactive Simulation ◽  
Coal Face ◽  
Visual Interactive Simulation ◽  
Process Control Systems ◽  
New Process ◽  
Actual Control

A set of simulation models of various subsystems of a coal mine was developed with the help of a new visual interactive simulation system of technological processes. This paper contains a brief description of this simulation system and its possibilities. The main possibilities provided by the simulation system are: the quick construction of models from library elements, 3D representation, and the communication of models with actual control systems. These simulation models were developed for the simulation of various subsystems of a coal mine: underground conveyor network subsystems, pumping subsystems and coal face subsystems. These simulation models were developed with the goal to be used as a quality and reliability assurance tool for new process control systems in coal mining.

Image Interpolation Algorithm Based on Edge Features

2011 ◽  
Vol 50-51 ◽  
pp. 564-567
Author(s):  
Yun Feng Yang ◽  
Xiao Guang Wei ◽  
Zhi Xun Su
Keyword(s):  
Interpolation Method ◽  
Spline Interpolation ◽  
Weighted Average ◽  
Image Interpolation ◽  
Interpolation Process ◽  
Edge Information ◽  
B Spline ◽  
Interpolation Methods ◽  
Distance Weighted ◽  
Edge Features

Image interpolation is used widely in the computer vision. Holding edge information is main problem in the image interpolation. By using bilinear and bicubic B-spline interpolation methods, a novel image interpolation approach was proposed in this paper. Firstly, inverse distance weighted average method was used to reduce image’s noise. Secondly, edge detection operator was used to extract image's edges information. It can help us to select different interpolation methods in the image interpolation process. Finally, we selected bilinear interpolation approach at non-edge regions, and bicubic B-spline interpolation method was used near edges regions. Further more, control vertexes were computed from pixels with calculation formula which has been simplified in the B-spline interpolation process. Experiments showed the interpolated image by the proposed method had good vision results for it could hold image's edge information effectively.

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