Erratum: Digital processing technique for suppressing the interfering outputs in the image from an inline hologram

1979 ◽  
Vol 15 (12) ◽  
pp. 361
Author(s):  
K.H.S. Marie ◽  
J.C. Bennett ◽  
A.P. Anderson
Keyword(s):  
Digital Processing ◽  
Processing Technique

scholarly journals Image Processing for Technological Diagnostics of Metallurgical Facilities

2012 ◽  
Vol 12 (4) ◽  
pp. 66-76 ◽  
Author(s):  
Lyubka Doukovska ◽  
Venko Petkov ◽  
Emil Mihailov ◽  
Svetla Vassileva
Keyword(s):  
Image Processing ◽  
Wavelet Transforms ◽  
Digital Processing ◽  
Processing Technique ◽  
Image Processing Technique ◽  
One Dimensional ◽  
Image Processing Techniques ◽  
Digital Image Processing Technique ◽  
Multidimensional Signals ◽  
Processing Techniques

Abstract The paper presents an overview of the image-processing techniques. The set of basic theoretical instruments includes methods of mathematical analysis, linear algebra, probability theory and mathematical statistics, theory of digital processing of one-dimensional and multidimensional signals, wavelet-transforms and theory of information. This paper describes a methodology that aims to detect and diagnose faults, using thermographs approaches for the digital image processing technique.

Subpixel Speckle Displacement Measurement Using a Digital Processing Technique

1988 ◽  
Vol 35 (7) ◽  
pp. 1201-1211 ◽  
Author(s):  
A. Oulamara ◽  
G. Tribillon ◽  
J. Duvernoy
Keyword(s):  
Digital Processing ◽  
Processing Technique ◽  
Displacement Measurement

Covariance-invariant digital filtering—A better digital processing technique for ground motion studies

1981 ◽  
Vol 71 (4) ◽  
pp. 1361-1367
Author(s):  
J. E. Ehrenberg ◽  
E. N. Hernandez
Keyword(s):  
Digital Filter ◽  
Response Spectrum ◽  
Sampling Rate ◽  
Response Spectra ◽  
Digital Processing ◽  
Processing Technique ◽  
Microprocessor System ◽  
Acceleration Data ◽  
Frequency Calculation ◽  
Motion Studies

abstract This paper describes a new recursive digital algorithm for computing the response spectrum from acceleration data. The algorithm digitally implements a single degree of freedom oscillator using a covariance-invariant digital filter. It is shown that this technique will produce an accurate response spectrum from input data that have been sampled at a rate that is as low as three times the oscillator natural frequency, fn. The more common response spectrum digital filter obtained using a bilinear z transformation technique requires a sampling rate of ten times fn. The fact that the algorithm can be used for data with a low sampling rate makes it particularly well suited for real time, multi-frequency calculation of response spectra with a microprocessor system.

scholarly journals Hardcopy quality parameters to ensure structures detection at digital mammography

2013 ◽  
Vol 46 (3) ◽  
pp. 156-162
Author(s):  
Rafael Eidi Goto ◽  
Silvio Ricardo Pires ◽  
Regina Bitelli Medeiros
Keyword(s):  
Spatial Resolution ◽  
Optical Density ◽  
Digital Image ◽  
Digital Processing ◽  
Processing Technique ◽  
Quality Parameters ◽  
General Purpose ◽  
Printing Quality ◽  
Image Pixels ◽  
Processing Techniques

Objective To develop procedures to ensure consistency of printing quality of digital images, by means of hardcopy quantitative analysis based on a standard image. Materials and Methods Characteristics of mammography DI-ML and general purpose DI-HL films were studied through the QC-Test utilizing different processing techniques in a FujiFilm®-DryPix4000 printer. A software was developed for sensitometric evaluation, generating a digital image including a gray scale and a bar pattern to evaluate contrast and spatial resolution. Results Mammography films showed maximum optical density of 4.11 and general purpose films, 3.22. The digital image was developed with a 33-step wedge scale and a high-contrast bar pattern (1 to 30 lp/cm) for spatial resolution evaluation. Conclusion Mammographic films presented higher values for maximum optical density and contrast resolution as compared with general purpose films. The utilized digital processing technique could only change the image pixels matrix values and did not affect the printing standard. The proposed digital image standard allows greater control of the relationship between pixels values and optical density obtained in the analysis of films quality and printing systems.

A Statistical Method to Determine the Volume Fractions of Inclusions in Polymer Composites

2011 ◽  
Vol 221 ◽  
pp. 283-288
Author(s):  
Xiao Lei Li ◽  
Xiao Jing Li ◽  
Jian Wei Zhang ◽  
Yan Hui Qie ◽  
Xin Ye Li ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Statistical Method ◽  
Polymer Composites ◽  
Mechanical Behaviour ◽  
Volume Fraction ◽  
Digital Processing ◽  
Processing Technique ◽  
Critical Parameters ◽  
Volume Fractions ◽  
Size And Shape

. The volume fraction of inclusions is one of the most critical parameters of polymer composites, which affects or even decides the mechanical behaviour of the materials. A procedure to calculate the volume fractions of inclusions of any size and shape distributions in polymer composites is introduced. It combines the capabilities of a digital processing technique to obtain configuration parameters of inclusions and of a statistical analysis which determines their volume fractions.The measurement principles and the basic procedures of the method are explained in detail. The procedure has been validated on simple shapes. The subsequent analysis is carried out using the method and is shown to be stable in some cases.

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