Point correlation: a reduced-cost template matching technique

Author(s):  
W. Krattenthaler ◽  
K.J. Mayer ◽  
M. Zeiller
2015 ◽  
Vol 7 (2) ◽  
pp. 156-161 ◽  
Author(s):  
Kulathilake K. A. S. H. ◽  
Ranathunga L. ◽  
Constantine G. R. ◽  
Abdullah N. A.

1991 ◽  
Vol 81 (4) ◽  
pp. 1292-1308
Author(s):  
Steven R. Taylor ◽  
Farid U. Dowla

Abstract The yields of 299 NTS explosions have been estimated from Pn, Pg and Lg spectra (between 0.1 and 10 Hz) at four regional seismic stations. A spectral template matching technique is used where the spectra from an explosion of unknown yield are compared with the spectra of explosions of known yield. A matching function is defined that is a scaled inverse of the difference between the spectra from the known and unknown explosions. The yields from the seven closest matching explosions are then averaged to estimate the yield of the unknown event. The spectral matching technique appears to perform as well as standard regression techniques utilizing mb(Pn) and mb(Lg) measurements except that no geologic information (such as gas-filled porosity) is required. However, the spectral matching technique is only applicable to very well-calibrated test sites. The key to spectral matching is that the spectral shape is sensitive to the near-source geology. In addition to affecting the absolute spectral levels (i.e., coupling), the dynamic response of the near source material to the radiated shock wave is a major factor controlling the shape of the radiated spectra. The spectral shape can therefore be used as an indicator for predicting the coupling of an explosion, which can be subsequently used to predict its yield.


2001 ◽  
Author(s):  
Qiang Li ◽  
Shigehiko Katsuragawa ◽  
Roger M. Engelmann ◽  
Samuel G. Armato III ◽  
Heber MacMahon ◽  
...  

2010 ◽  
Vol 139-141 ◽  
pp. 2067-2071
Author(s):  
Shu Yi Wang ◽  
Jie Tan ◽  
Xun Chao Yin ◽  
Hui Fang Wang

In this paper, a surgical blade inspecting system is designed and researched, which can automatic test and determine eligibility according to tolerances. High precision and non-contact detection of surgical blades based on machine vision is realized by using camera with telecentric lens to obtain the image of surgical blades, by applying template matching technique to automatic match surgical blades. One-dimensional edge of sub-pixel accuracy is extracted by combining the edge filtering of the Deriche filter and parabolic fitting for the maximum range from edge. It can be used for precise measurement of different part of surgical blades with different sizes. Extensive experiments showed that measuring range is from 2mm ~ 50mm, measuring accuracy is 10μm and average detection time is 0.6s. Thus the inspection system is fast, accurate and robust to fulfill the industrial demands.


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