Image Processing for Electron Microscope Investigations of Materials

1983 ◽  
Vol 31 ◽  
Author(s):  
William Krakow
Keyword(s):  
Image Processing ◽  
Text Processing ◽  
Computer Control ◽  
Full Range ◽  
Computer Software ◽  
Processing System ◽  
Image Motion ◽  
Hard Copy ◽  
Digital Television ◽  
Main Component

ABSTRACTA time shared television digital image processing system has been developed for on-line electron microscopy and uses a large mainframe computer. The main component of the system is a digital television frame store which has many standard features for digital analysis such as: digitization, zoom and pan, arithmetic and Boolean processors, alphanumeric generators and so on. Images can be acquired at atomic resolution from a TEM, analyzed in real time and hard copy slides made under full computer control. A full range of computer software has been developed or modified from existing software and is generally compatible with IBM Fortran compilers. Some of the areas where extensive menu driven software has been developed are: particle size and feature analysis, algebraic and geometric image manipulations, Fourier analysis, digitization and process control, image contrast correction, text processing, etc. A number of applications areas have been explored which include: the structure of Si/SiO2interfaces; nucleation of Au on rocksalt; the formation of hexatic structures from amorphous phases under shear, tension and compression; analysis of atomic surface structure and image motion and the analysis of field ion micrographs of amorphous structures. Several of these areas will be discussed in the context of image processing and materials characterization.

Software pattern recognition applied to nanodiffraction patterns from a STEM instrument

1986 ◽  
Vol 44 ◽  
pp. 694-695
Author(s):  
G.Y. Fan ◽  
J.M. Cowley
Keyword(s):  
Image Processing ◽  
Pattern Recognition ◽  
Computer Software ◽  
Processing System ◽  
Light Level ◽  
Host Computer ◽  
Low Light ◽  
Image Processing System ◽  
Recent Developments ◽  
On Line

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.

Mapping and Forecasting Soil Erosion Patterns from Landsat on a Microcomputer-based Image Processing Facility.

1986 ◽  
Vol 8 (1) ◽  
pp. 57 ◽  
Author(s):  
G Pickup ◽  
VH Chewings
Keyword(s):  
Image Processing ◽  
Soil Erosion ◽  
Computer Software ◽  
Stability Index ◽  
Hard Copy ◽  
Software Cost ◽  
Processing Facility ◽  
Erosion Modelling ◽  
User Friendly ◽  
The Mathematical Model

The paper summarises recent work in the development and implementation of broad scale conceptual and mathematical models of the soil erosion process in flat arid lands. The conceptual model is based on erosion cell behaviour. Its mathematical counterpart is the simultaneous autoregressive random field model recently developed for image modelling.The data used in the mathematical model are derived by transforming standard Landsat MSS data to produce a soil stability index. Practical application of the methods requires the appropriate computer software and an image processing facility. The erosion modelling routines have therefore been implemented as part of a user- friendly microcomputer based image processing package which is now available commercially. The package runs on an IBM XT or AT computer using a Vectrix graphics board and the hardware includes high resolution display and hard copy facilities. Both hardware and software cost less than $30,000 making it ~ossible to decentralise image processing technology to branch offices of government departments or to agricultural consultants.

scholarly journals IoT Based Image Processing Filters

2021 ◽  
Vol 1 (4) ◽  
pp. 1-13
Author(s):  
Noor Abbas ◽  
Mohamed Ibrahim Shujaa ◽  
Entithaar Mhwes Zghair
Keyword(s):  
Image Processing ◽  
Internet Of Things ◽  
Color Image ◽  
Processing System ◽  
System Generator ◽  
Black And White ◽  
The Common ◽  
Image Processing Algorithms ◽  
Practical Life ◽  
Main Component

Internet of things (IoT) becomes the backbone of the advanced countries and it has a real contribute to exchange the traditional style or way of practical life, even personal life into smart style, with (IoT) technology the life become more and more easy and professional. internet of things achieves various applications coordinate with sensors and standard protocols to apply what is called machine -to- machine connection (M2M), in this paper we will talk more about the concept of (M2M), the main component of internet of things and finally the common protocols that is used in network, in addition to that this work present an IOT operation with processing system using camera for capturing image and Xilinx system generator(XSG)models for designing  image processing algorithms and the result of  the processing is an image with black and white for edge detection and Thresholding models  and gray color image for gray enhancement model.

A time-shared image-processing system for electron microscopy

1983 ◽  
Vol 41 ◽  
pp. 394-395
Author(s):  
William Krakow ◽  
R.A. Baron
Keyword(s):  
Electron Microscopy ◽  
Image Processing ◽  
High Speed ◽  
Computer Control ◽  
Processing System ◽  
Coaxial Cable ◽  
Image Processing System ◽  
Full Color ◽  
On Line ◽  
Remote Sites

A time shared television digital image processing system has been developed for on-line electron microscopy and uses a large mainframe computer (IBM 3033). The system consists of a TV frame store (Grinnell GMR275 full color processor) capable of storing five-512x512x8 bit deep monochrome pictures and four-5 12x512x1 bit graphic overlays. The frame store has many standard features such as: an an 8 bit video digitizer, zoom and pan controls, graphic cursors, image analyzers, arithmetic and boolean processors, alpha numeric generators, lookup tables and so on. A high speed interface has been developed to connect between the host computer and the frame store and can bidirectionally transmit data at 1 Mbit/sec rates over coaxial cable (see Fig. 1). The processor can be controlled from any terminal within the research center. At present a digital switch box has been constructed which will allow up to ten video inputs to be individually assessed from microscopes at remote sites. Also, up to ten full color video ouputs (RGB) from the processor are switchable under computer control.

A film recording and image processing system for confocal microscopy

1990 ◽  
Vol 48 (3) ◽  
pp. 798-799
Author(s):  
Larry D. Ackerman ◽  
W. T. Jansen
Keyword(s):  
Image Processing ◽  
Confocal Microscopy ◽  
Imaging System ◽  
Processing System ◽  
Confocal Imaging ◽  
Hard Copy ◽  
Commercial Development ◽  
Scanning Confocal Microscopy ◽  
Film Recorder ◽  
Digital Film

Scanning confocal microscopy has developed into a very useful technique for many scientific investigations. However, commercial development has been so rapid that some recent advances in computer graphics and imaging have not been incorporated into the commercial systems. One particular concern was high quality hard copy with alpha-numeric and graphic overlays. A subsystem was developed to provide this output for the BioRad MRC-500/600 confocal imaging system.A digital film recorder, an Agfa Matrix Procolor was chosen as the principal element of hardware. This compact unit can record an image at a resolution of 4096 horizontal by 3072 vertical pixels at a cost equivalent to popular analog video film recorders. The interface is a standard IEEE 488 GPIB board. It is compatible with various film emulsions such as Kodak Ecktachrome 100 as well as many of the major graphics arts and image processing programs. The second element of hardware in this system is an ATVista 4M image processing board.

scholarly journals IoT Based Image Processing Filters

2021 ◽  
Vol 2 (4) ◽  
pp. 1-13
Author(s):  
Noor Abbas ◽  
Mohamed Ibrahim Shujaa ◽  
Entithaar Mhwes Zghair
Keyword(s):  
Image Processing ◽  
Internet Of Things ◽  
Color Image ◽  
Processing System ◽  
System Generator ◽  
Black And White ◽  
The Common ◽  
Image Processing Algorithms ◽  
Practical Life ◽  
Main Component

Internet of things (IoT) becomes the backbone of the advanced countries and it has a real contribute to exchange the traditional style or way of practical life, even personal life into smart style, with (IoT) technology the life become more and more easy and professional. internet of things achieves various applications coordinate with sensors and standard protocols to apply what is called machine -to- machine connection (M2M), in this paper we will talk more about the concept of (M2M), the main component of internet of things and finally the common protocols that is used in network, in addition to that this work present an IOT operation with processing system using camera for capturing image and Xilinx system generator(XSG)models for designing  image processing algorithms and the result of  the processing is an image with black and white for edge detection and Thresholding models  and gray color image for gray enhancement model.

Digital image processing methods applied to the study of annealing time on semiconductor-metal eutectic composites

1988 ◽  
Vol 46 ◽  
pp. 848-849
Author(s):  
J. Hefter
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Electronic Device ◽  
Processing System ◽  
Average Diameter ◽  
Eutectic Solidification ◽  
Metal Silicide ◽  
The Matrix ◽  
Microscopic Studies

Semiconductor-metal composites, formed by the eutectic solidification of silicon and a metal silicide have been under investigation for some time for a number of electronic device applications. This composite system is comprised of a silicon matrix containing extended metal-silicide rod-shaped structures aligned in parallel throughout the material. The average diameter of such a rod in a typical system is about 1 μm. Thus, characterization of the rod morphology by electron microscope methods is necessitated.The types of morphometric information that may be obtained from such microscopic studies coupled with image processing are (i) the area fraction of rods in the matrix, (ii) the average rod diameter, (iii) an average circularity (roundness), and (iv) the number density (Nd;rods/cm2). To acquire electron images of these materials, a digital image processing system (Tracor Northern 5500/5600) attached to a JEOL JXA-840 analytical SEM has been used.

EMCAT: An automatic image-processing system for electron-microscopic tomography

1994 ◽  
Vol 52 ◽  
pp. 418-419
Author(s):  
Weiping Liu ◽  
John W. Sedat ◽  
David A. Agard
Keyword(s):  
Image Processing ◽  
Structural Information ◽  
Imaging Technique ◽  
Three Dimensional ◽  
Processing System ◽  
Electron Microscopic ◽  
Data Set ◽  
Ordered Structures ◽  
Automatic Image Processing ◽  
Em Tomography

Any real world object is three-dimensional. The principle of tomography, which reconstructs the 3-D structure of an object from its 2-D projections of different view angles has found application in many disciplines. Electron Microscopic (EM) tomography on non-ordered structures (e.g., subcellular structures in biology and non-crystalline structures in material science) has been exercised sporadically in the last twenty years or so. As vital as is the 3-D structural information and with no existing alternative 3-D imaging technique to compete in its high resolution range, the technique to date remains the kingdom of a brave few. Its tedious tasks have been preventing it from being a routine tool. One keyword in promoting its popularity is automation: The data collection has been automated in our lab, which can routinely yield a data set of over 100 projections in the matter of a few hours. Now the image processing part is also automated. Such automations finish the job easier, faster and better.

Structured Data Entry for Reliable Acquisition of Pharmacokinetic Data

1996 ◽  
Vol 35 (03) ◽  
pp. 261-264 ◽  
Author(s):  
T. Schromm ◽  
T. Frankewitsch ◽  
M. Giehl ◽  
F. Keller ◽  
D. Zellner
Keyword(s):  
Text Processing ◽  
Data Entry ◽  
Processing System ◽  
Database System ◽  
Structured Data ◽  
Pharmacokinetic Parameters ◽  
Pharmacokinetic Data ◽  
Probability Of Error ◽  
Error Frequency ◽  
Estimated Error

Abstract:A pharmacokinetic database was constructed that is as free of errors as possible. Pharmacokinetic parameters were derived from the literature using a text-processing system and a database system. A random data sample from each system was compared with the original literature. The estimated error frequencies using statistical methods differed significantly between the two systems. The estimated error frequency in the text-processing system was 7.2%, that in the database system 2.7%. Compared with the original values in the literature, the estimated probability of error for identical pharmacokinetic parameters recorded in both systems is 2.4% and is not significantly different from the error frequency in the database. Parallel data entry with a text-processing system and a database system is, therefore, not significantly better than structured data entry for reducing the error frequency.

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