scholarly journals ANALYSIS OF GEOMETRIC CHARACTERISTICS OF TWO-PHASE POLYMER-SOLVENT SYSTEMS DURING THE SEPARATION OF SOLUTIONS ACCORDING TO THE INTENSITY OF THE IMAGE OF MICROGRAPHS

2019 ◽  
Vol 16 (32) ◽  
pp. 551-559
Author(s):  
Nikolay A. BULYCHEV ◽  
Valeriy V. BODRYSHEV ◽  
Lev N. RABINSKIY
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Droplet Surface ◽  
Droplet Growth ◽  
Two Phase ◽  
Image Intensity ◽  
Composition And Structure ◽  
Physical And Chemical ◽  
Instrumental Methods

This paper discusses the study of the shapes and sizes of polymer droplets formed during the phase separation of their solutions with increasing temperature, as well as the parameters of the transitional layers of polymer condensing on the droplet surface formed during this process. For the study, a copolymer of polyethylene oxide and polypropylene oxide was chosen, whose behavior in aqueous solutions and the change in hydrophilic-hydrophobic balance depends on temperature. It has been established that the application of the method of digital image processing allows the introduction of the quantitative criterion – image intensity of a photo. For a more detailed study of the behavior of polymer molecules at the phase boundary, depending on the temperature, the studies of the temperature-dependent behavior of a number of polymers of different composition and structure have been carried out. The use of the digital image processing method for polymer droplets makes it possible to determine the parameters of droplets and their transition layers, to determine the dynamics of nucleation and droplet growth and density changes in the transition layer by the image intensity parameter. The paper has found out that embryos of pluronic are unevenly distributed by volume of solution with the presence of zones with a maximum number of molecules and a zone with a minimum of assembly of molecules. The practical value of the work is in the fact that the results of the study can be used to assess the dynamics of the separation of polymer solutions without involving the time-consuming and expensive instrumental methods of physical and chemical analysis.

Application of digital image processing to the analysis of two-phase materials with spherical inclusions

1990 ◽  
Vol 11 (3) ◽  
pp. 158-163 ◽  
Author(s):  
F. Parsi ◽  
D. M. Husband ◽  
J. S. Lisk ◽  
F. Gadala-Maria ◽  
S. McNeill ◽  
...  
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Two Phase ◽  
Spherical Inclusions

scholarly journals GEOMETRY ANALYSIS OF SUPERSONIC FLOW AROUND TWO AXIALLY SYMMETRICAL BODIES USING THE DIGITAL IMAGE PROCESSING METHOD

2019 ◽  
Vol 16 (33) ◽  
pp. 541-548
Author(s):  
V. V. BODRYSHEV ◽  
N. P. KORZHOV ◽  
L. G. NARTOVA ◽  
L. N. RABINSKIY
Keyword(s):  
Shock Wave ◽  
Image Processing ◽  
Supersonic Flow ◽  
Shock Waves ◽  
Digital Image Processing ◽  
Digital Image ◽  
Processing Method ◽  
Intensity Parameter ◽  
Image Intensity ◽  
Video Frames

The scientific paper covers the research of the geometric laws of the intersection of two angle shock waves formed upon supersonic flow with zero incidence of two bodies. The positions of shock waves engaging with the surfaces of the models of axially symmetrical bodies are determined. Systems of analysis and decision support are based on the involvement of photographs (video frames) processing results by the image intensity parameter. This method facilitates the identification of the shock wave angle with a higher rate of probability, and, therefore, the more precise definition of the engagement points of the shock wave with the researched surface. This paper analyses the video frames of the interaction of shock waves using the digital image processing method by the image intensity parameter, the formulas determining the intersection point of shock waves, that occur upon the supersonic motion of two axially symmetric bodies near each other, are determined. The positions of the point of contact of the outgoing shock wave with the surface of the second object were determined, factoring in the difference in the the incoming and outgoing shock wave angles. The availability of sufficient statistics allowed to identify theoretical relationships between the gas flow rate, the geometric parameters of objects, the distances between them, density, pressure and image intensity in photographs. The method of digital image processing can be applied to the analysis of shock waves during the flow around a supersonic stream of bodies with a "blunt" end. The shock wave front in this case is described by a secondorder curve, upon the analysis of which it is necessary to select a portion of this curve, replacing it with some accuracy by a straight line segment (Mach line).

Hass avocado ripeness classification by mobile devices using digital image processing and ANN methods

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
César Augusto Jaramillo-Acevedo ◽  
William Enrique Choque-Valderrama ◽  
Gloria Edith Guerrero-Álvarez ◽  
Carlos Augusto Meneses-Escobar
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Skin Color ◽  
Indoor Environments ◽  
Blue Color ◽  
Post Harvest ◽  
Hass Avocado ◽  
Hidden Neurons ◽  
Physical And Chemical

AbstractProper farming, transportation, and storage processes of Hass avocado are important owing to its recent increase in production, export, and economic activity in Colombia. Since Hass avocado pricing and utility depend on its consumption ripeness, related to changes in skin color, sensory properties, texture, and nutritional value, developing an Android mobile application, namely iHass for smartphones and tablets, which estimates the number of days in which the Hass avocado reaches its optimal ripening level during post-harvest storage, contributes toward improving the fruit quality and decreasing the export costs and losses. This study aims to monitor the ripening processes of Hass avocados in complex backgrounds and indoor environments using various digital image processing techniques. The proposed study uses the red, green, and blue color model based on the physical and chemical changes that are observed during the ripening process. Herein, the color, shape, and texture characteristics of the fruits are obtained, and the fruits are classified using an artificial neural network, which features three layers, four input parameters, six hidden neurons, and four output parameters. Furthermore, ripeness was monitored in two crops, which provided 65 samples each. The results provided a ripeness estimate accuracy of 88% and a regression value of 0.819 during the post-harvest period.

Application of Digital Image Processing in Two-Phase Flow

1992 ◽  
pp. 409-413
Author(s):  
B. Donevski ◽  
T. Saga ◽  
T. Kobayashi ◽  
M. Shoukri
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Two Phase Flow ◽  
Phase Flow ◽  
Two Phase

Study of Multicomponent Magnetic Nanostructures with Digital Image Processing Technique.

1988 ◽  
Vol 132 ◽  
Author(s):  
A. P. Valanju ◽  
I. S. Jeong ◽  
D. Y. Kim ◽  
R. M. Walser
Keyword(s):  
Thin Films ◽  
Image Processing ◽  
Magnetic Properties ◽  
Digital Image Processing ◽  
Digital Image ◽  
Fourier Transforms ◽  
Image Processing Technique ◽  
Soft Magnetic Properties ◽  
Soft Magnetic ◽  
Two Phase

ABSTRACTPreviously, we used Digital Image Processing (DIP) to explore the relationships between the growth morphologies of sputtered two-phase nanostructures and their soft magnetic properties [1]. In this work we extended the application of DIP to analyse the effects of deposition parameters and annealing conditions on their soft magnetic properties including disaccommodation.Magnetically soft, amorphous Co61B39 thin films, exhibiting a two-phase structure, were deposited by sequentially co-sputtering cobalt and boron. We digitized TEM micrographs of these thin films, prepared under different deposition conditions, and subjected to various post deposition processing. Digital Fourier transforms of the TEM micrographs were studied for evidence that the film anisotropy could be correlated with morphological order arising from long and short range interactions between particles over distances of ≈ 0.2 − 1.0 nm.Our qualitative studies showed that important changes in soft magnetic properties were associated with changes in the two phase morphologies. We determined, for example, that specific morphological changes were associated with the reduction in the magnetic anisotropy produced by annealing. In general, decreases in anisotropy were associated with increased isotropy in Fourier space. The largest reductions and circular symmetric 2D Fourier transforms were produced by rotating field annealing.

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