Research output: Chapter in Book/Report/Conference proceeding › Article in an anthology › Research › peer-review
Analysis of images obtained by capillary dynamolysis method. / Murenin, I.; Ampilova , N.
Proceedings of 14th International Conference on Communications, Electromagnetic and Medical Applications (CEMA ...). ed. / Dimiter Tz. Dimitrov. Vol. 2019-October Sofia : TECHNICAL UNIVERSITY OF SOFIA, 2019. p. 36-40 (Communication, Electromagnetics and Medical Application).Research output: Chapter in Book/Report/Conference proceeding › Article in an anthology › Research › peer-review
}
TY - CHAP
T1 - Analysis of images obtained by capillary dynamolysis method
AU - Murenin, I.
AU - Ampilova , N.
PY - 2019/10/17
Y1 - 2019/10/17
N2 - Now the methods of computational image analysis allow us to automate the techniques of routine analysis of digital images in various fields of research. The capillary dynamolysis method reflects the spectrum of organic matter in a biological sample. Last decades it is widely applied in ecology and food industry to study the properties of soil and products. This paper presents an approach to the analysis and classification of soil samples obtained by capillary dynamolysis. Detectors of brightness differences help to define a special boundary curve on the image, and distances from the central point of the image to the points on the curve are the classifying signs for the image under study. A set of 128 images is divided into 8 classes, which are used to assess the qualitative properties of soil samples. Computed features make it possible to distinguish samples of the soil of the worst quality and to compare images from different classes
AB - Now the methods of computational image analysis allow us to automate the techniques of routine analysis of digital images in various fields of research. The capillary dynamolysis method reflects the spectrum of organic matter in a biological sample. Last decades it is widely applied in ecology and food industry to study the properties of soil and products. This paper presents an approach to the analysis and classification of soil samples obtained by capillary dynamolysis. Detectors of brightness differences help to define a special boundary curve on the image, and distances from the central point of the image to the points on the curve are the classifying signs for the image under study. A set of 128 images is divided into 8 classes, which are used to assess the qualitative properties of soil samples. Computed features make it possible to distinguish samples of the soil of the worst quality and to compare images from different classes
KW - computational image analysis
KW - capillary dynamolysis method
KW - classifying signs
KW - boundary curve
UR - http://www.scopus.com/inward/record.url?scp=85075699800&partnerID=8YFLogxK
M3 - Article in an anthology
VL - 2019-October
T3 - Communication, Electromagnetics and Medical Application
SP - 36
EP - 40
BT - Proceedings of 14th International Conference on Communications, Electromagnetic and Medical Applications (CEMA ...)
A2 - Dimitrov, Dimiter Tz.
PB - TECHNICAL UNIVERSITY OF SOFIA
CY - Sofia
T2 - 14TH INTERNATIONAL CONFERENCE ON COMMUNICATIONS, ELECTROMAGNETICS AND MEDICAL APPLICATIONS
Y2 - 17 October 2019 through 19 October 2019
ER -
ID: 48317639