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CORRELATION PROCESSING OF DIGITAL OPTICAL IMAGES FOR SOLVING CRIMINALISTIC PROBLEMS

https://doi.org/10.21122/2220-9506-2015-6-2-33-40

Abstract

The correlation processing of optical digital images of expert research objects is promising to improve the quality, reliability and representativeness of the research. The development of computer algorithms for expert investigations by using correlation analysis methods for solving such problems of criminology, as a comparison of color-tone image parameters impressions of seals and stamps, and measurement of the rifling profile trace of the barrel on the bullet is the purpose of the work. A method and software application for measurement of linear, angular and altitude characteristics of the profile (micro relief) of the rifling traces of the barrel on the bullet for judicial-ballistic tests is developed. Experimental results testify to a high overall performance of the developed program application and confirm demanded accuracy of spent measurements. Technique and specialized program application for the comparison of color-tone image parameters impressions of seals and stamps, reflecting degree and character of painting substance distribution in strokes has been developed. It improves presentation and objectivity of tests, and also allows to reduce their carrying out terms. The technique of expert interpretation of correlation analysis results has been offered. Reliability of the received results has been confirmed by experimental researches and has been checked up by means of other methods.

About the Authors

V. L. Kozlov
Belarusian State University
Belarus
Address for correspondence: Kozlov V.L. Belarusian State University, Nezavisimosty Ave., 4, Minsk, 220050, Belarus e-mail: KozlovVL@bsu.by


A. S. Vasilchuk
Belarusian State University
Belarus


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For citations:


Kozlov V.L., Vasilchuk A.S. CORRELATION PROCESSING OF DIGITAL OPTICAL IMAGES FOR SOLVING CRIMINALISTIC PROBLEMS. Devices and Methods of Measurements. 2015;6(2):220-229. (In Russ.) https://doi.org/10.21122/2220-9506-2015-6-2-33-40

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ISSN 2220-9506 (Print)
ISSN 2414-0473 (Online)