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Application of information technology for automation of the calculation of the thermodynamic characteristics of the surface layer

Journal: Reporter of the Priazovskyi State Technical University. Section: Technical sciences (Vol.29, No. 1)

Publication Date:

Authors : ;

Page : 199-205

Keywords : surface properties; physical-chemical experiment; the experimental setup; the digital image; computer; segmentation; pattern recognition; linear filtering; the pixel in-tensity levels;

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Abstract

An experimental setup for studying the surface properties of steel melts, which in contrast to known systems, provided with an optical system and a PC that allow a digital image of drops lying obtained in experiments using fast processing software system that significantly reduces the time of the experiment, to store data and simplifies the work of the experimenter. For image acquisition unit is provided with a drop optical system configured to move in the horizontal and vertical planes. Optical image of the object is formed horizontal optical microscope Stemi SV 11, the use of which is necessary because the resources of the recording device is not possible to obtain a clear image. Next, using a black and white video camera SONY SPT-M308CE, the image is transmitted as an analog signal to image capture board (frame grabber) DATA TRANSLATION (DT-3155). Digitized image with a spatial resolution of 768x576 pixels and 256 gray levels is placed in the memory of a computer company Intel (6) for further processing using specially developed algorithms. Obtaining Profile drop in pixels allows very accurately determine the parameters such as contact angles, surface tension, the drop volume, etc. Since segmentation is a key step to help you find areas related to various objects in the image field, we carried out an analysis of existing methods and found that the most appropriate method for the analysis of digitized images sessile drop is the gradient method. It is based on the fact that at the boundary between two objects of different brightness is a sharp change in intensity, which can easily be fixed by calculating the gray level gradient whose direction is perpendicular to the interface objects

Last modified: 2015-07-27 16:32:40