scholarly journals Value of Digital Image Processing of Two-Dimensional Echocardiograms in Differentiating Active From Chronic Vegetations of Infective Endocarditis

1988 ◽  
Vol 4 (6) ◽  
pp. 328-329
Keyword(s):  
Image Processing ◽  
Infective Endocarditis ◽  
Digital Image Processing ◽  
Digital Image ◽  
Two Dimensional

Microdeformations in Sands by Digital Image Processing and Analysis

1996 ◽  
Vol 1548 (1) ◽  
pp. 31-37 ◽  
Author(s):  
Scott A. Raschke ◽  
Roman D. Hryciw ◽  
Gregory W. Donohoe
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Small Scale ◽  
Two Dimensional ◽  
Localized Deformation ◽  
Displacement Fields ◽  
Particulate Media ◽  
Image Processing And Analysis ◽  
Video Images

Laboratory experiments are typically performed on particulate media to study stress-deformation behavior and to verify or calibrate computer models from controlled or measured boundary stresses and displacements. However, such data do not permit the formation of shear bands, displacement fields within flowing granular media, and other small-scale localized deformation phenomena to be identified. Described are two semiautomated computer vision techniques for accurately determining the two-dimensional displacement field in granular soils from video images obtained through a transparent planar viewing window. The techniques described are applicable for studying the behavior of particulate media under plane strain and certain axisymmetric test conditions. Digital image processing and analysis routines are used in two different computer programs, Tracker and Tracer, Tracker uses a graphical user interface that allows individual particles to be selected and tracked through a sequence of digital video images. A contrast edge detection algorithm delineates the two-dimensional projected boundaries of particles. The location of the centroid of each particle selected for tracking is determined from the boundary to quantify the trajectory of each particle. Tracer maps the trace or trajectory of specially dyed fluorescent particles in a sequence of video frames. A thresholding technique segments individual particle trajectories. Together, Tracker and Tracer provide a set of tools for identifying small-scale displacement fields in particulate assemblies deforming under either quasi-static or rapid loading (such as gravity flow).

Comparative Analysis on Noise Processing of Image

2013 ◽  
Vol 718-720 ◽  
pp. 2159-2162
Author(s):  
Hua Jun Dong ◽  
Xue Mei Jiang ◽  
Chen Xu Niu
Keyword(s):  
Image Processing ◽  
Comparative Analysis ◽  
Digital Image Processing ◽  
Digital Image ◽  
Median Filter ◽  
Wiener Filter ◽  
Image Noise ◽  
Two Dimensional ◽  
Wavelet Filter ◽  
Average Filter

The existence of noises have great interference on image processing, so the elimination of image noise is of great importance. In this paper, based on the digital image processing, the methods of average filter, wiener filter, median filter, two-dimensional wavelet filter, maximum and minimum filter are used to eliminate the salt & pepper noise of image. Then we analysis and compare the results of the five methods to find the best way to eliminate the image noise.

Detection of acute myocardial infarction with digital image processing of two-dimensional echocardiograms

1992 ◽  
Vol 124 (2) ◽  
pp. 289-293 ◽  
Author(s):  
Tahir Tak ◽  
Cees Visser ◽  
Shahbudin H. Rahimtoola ◽  
P.Anthony N. Chandraratna
Keyword(s):  
Myocardial Infarction ◽  
Image Processing ◽  
Acute Myocardial Infarction ◽  
Digital Image Processing ◽  
Digital Image ◽  
Two Dimensional

scholarly journals Application of digital image processing for autofocusing system construction

2020 ◽  
Vol 30 (2) ◽  
pp. 69-79
Author(s):  
A. A. Makarenko ◽  
L. A. Vinokurov
Keyword(s):  
Image Processing ◽  
Numerical Analysis ◽  
Unmanned Aerial Vehicles ◽  
Digital Image Processing ◽  
Digital Image ◽  
Amplitude Spectrum ◽  
Two Dimensional ◽  
System Construction ◽  
Aerial Vehicles ◽  
Spatial Frequencies

The article states the method of autofocusing of the optoelectronic image, based on digital image processing. Some systems of autofocusing which can be used in optoelectronic equipment of unmanned aerial vehicles are considered. The method developed by authors and the program algorithm implementing it are similar to the rules of functioning of an element of the human visual system which executes an estimation of a spectrum of spatial frequencies for the realization of focusing of the image of objects which are of interest or danger and are on different distance from the observer. The best focusing is defined on the greatest width of a spectrum of spatial frequencies of the object. Such estimation allows focusing the necessary object on the observable image even in the absence of binocular vision. The method is based on the numerical analysis of a two-dimensional amplitude spectrum of the image. Results of operation of the stated method which confirm its efficiency are presented.

scholarly journals Digital image processing algorithms for visual navigation of an unmanned aircraft

2020 ◽  
Vol 30 (3) ◽  
pp. 75-85
Author(s):  
A. A. Makarenko ◽  
L. A. Vinokurov
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Amplitude Spectrum ◽  
Digital Processing ◽  
Spatial Spectrum ◽  
Visual Navigation ◽  
Unmanned Aircraft ◽  
General Idea ◽  
Two Dimensional

The algorithms of digital image processing in the unmanned aerial vehicle (UAV) visual navigation system are stated and the program realization of the method is presented in the article. Assessment of a range of spatial frequencies of the image is carried out using the stated algorithms. The look and structure of a two-dimensional amplitude spatial spectrum of the image allow allocating existence of vertical and horizontal borders and lines on the image and giving a general idea about their spatial orientation. The spectral submission of the compared images is also used for the acceleration of correlation function calculations. Using the results of digital processing of an amplitude two-dimensional spatial range of the image observed by the onboard TV camera the data allowing to specify the spatial UAV coordinates and to estimate a condition and position of the airfield are formed. The method is based on the numerical analysis of a two-dimensional amplitude spectrum of the image. Results of operation that confirm efficiency of the stated algorithms are presented.

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