A Novel Method on Wheelsets Geometric Parameters on Line Based on Image Processing

Author(s):  
Zhifeng Zhang ◽  
Shuangyun Shao ◽  
Zhan Gao
Author(s):  
G.Y. Fan ◽  
J.M. Cowley

In recent developments, the ASU HB5 has been modified so that the timing, positioning, and scanning of the finely focused electron probe can be entirely controlled by a host computer. This made the asynchronized handshake possible between the HB5 STEM and the image processing system which consists of host computer (PDP 11/34), DeAnza image processor (IP 5000) which is interfaced with a low-light level TV camera, array processor (AP 400) and various peripheral devices. This greatly facilitates the pattern recognition technique initiated by Monosmith and Cowley. Software called NANHB5 is under development which, instead of employing a set of photo-diodes to detect strong spots on a TV screen, uses various software techniques including on-line fast Fourier transform (FFT) to recognize patterns of greater complexity, taking advantage of the sophistication of our image processing system and the flexibility of computer software.


1994 ◽  
Vol 27 (12) ◽  
pp. 163-168 ◽  
Author(s):  
S.A. Velastin ◽  
J.H. Yin ◽  
A.C. Davies ◽  
M.A. Vicencio-Silva ◽  
R.E. Allsop ◽  
...  

2011 ◽  
Vol 186 ◽  
pp. 11-15
Author(s):  
Li Cao ◽  
Wen Chen ◽  
Jun Xiao

Video processing technology is regarded as a low-cost detection technology in complex environment. Because the placement layer is thin and the surface is complex that causes high detection error and high cost in laser measurement. Two problems must be solved before using it in large-scale composite structures automatic placement. One is to obtain the high-quality and stable image, and the other is to improve efficiency of image processing. In this paper, a method obtaining the high quality placement gap images was studied. It made use of the optical characteristics of composite material’s surface texture. And some parameters were determined by experiments. To reduce the calculation cost of image processing, a placement gap measurement method based on line scanning was also proposed here. The method was effective in our detection experiments on an actual workpiece.


1972 ◽  
Vol 5 (4) ◽  
pp. 142-146
Author(s):  
M S Beck ◽  
N E Gough ◽  
J N Smithies

A novel method of controlling the flow rates of fluids has been devised which is particularly suitable for highly erosive fluids and slurries. The width of pulses in a pulse train actuating an on-off valve is modulated according to the error between the desired and measured flow rates and thus the ratio of the total times the valve spends in its ‘on’ and ‘off’ states is varied. The method has been tested with an on-line computer which was used to measure the flow rate of water by a cross-correlation method to determine the transit time of temperature fluctuations between two thermocouples in the pipe, and to implement the pulse width modulation control. Satisfactory results have been obtained for start-up, set-point changes and load disturbances for flow rates in the turbulent region (Re > 3 600). Future development includes the use of a fluidic diverter as the on-off device.


1999 ◽  
Vol 5 (S2) ◽  
pp. 518-519
Author(s):  
Dale E. Newbury ◽  
David S. Bright

X-ray mapping is one of the most popular modes for displaying information obtained with x-ray spectrometry performed in the scanning electron microscope. This popularity arises from the ready accessibility and apparent simplicity of information presented in a pictorial fashion, especially when used in conjunction with other SEM imaging modes, such as backscattered, secondary, and specimen current electron images. Further, the rise of powerful, inexpensive computer systems capable of image processing and display has given the analyst a dedicated, on-line tool with the capacity and flexibility needed for problem solving. Figure 1 shows a typical example of mapping. Although the interpretation of x-ray images obtained with a modern digital control and recording system would seem to be straightforward and relatively trivial, there are significant pitfalls and limitations that can easily fool the unwary. In Figure 1, within an individual x-ray map, the observer can reasonably judge where the concentration is lower or higher, at least for a group of contiguous pixels. Can such judgments be made among a set of maps of the same region for different elements, or even for the same element from different regions of the same specimen? With current x-ray processing and display systems, the answers are generally no. In fact, problems that can influence interpretation can arise at each stage of x-ray generation/emission, x-ray spectral collection, processing, and display.


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