The article describes the functional features of the desktop application "ImgOpinion" to extract information from a target by processing its graphic image obtained by photo means in digital form. The desktop application implements its capabilities in several scenarios due to computer vision methods, allowing for processing full-size images of 10 - 15 megapixels and outputting the processed values in *.txt and *.png formats, e.g. The gunshot traces certificate contains the necessary and relevant parameters for forensic investigators of the target object, including the parameters of the gunshot traces found on its surface. The ImgOpinion application allows the forensic expert to identify gunshot residue on a target, calculate the dimensions and the colourimetric data from digital images of the one. The application makes it possible to estimate the amount of soot on the surface of a target from a gunshot, as well as its distribution over the surface, which traditional forensic methods reveal by destroying the target.
A method of mathematically processing the digital images of targets is developed. The theoretical and mathematical justification and the experimental validation of the possibility of estimating the amount of gunshot residue (GSR) and determining the GSR distribution over the target on the basis of its digital image is provided. The analysis of the optical density in selected concentric rings in the images reveals the radial dependence of soot distribution in the cross section of a gas–gunpowder jet. The analysis of the optical density in selected sectors of the circle reveals the angular dependence of the soot distribution in the gas–gunpowder jet cross section. It is shown that the integral optical density averaged over a selected area in the target image characterizes the mass of GSP deposited on it. It is possible to quantify the differences in the radial and angular distributions of the thickness of the GSR layer on various targets obtained both with the help of weapons of different types at the same distances and with the help of weapons of the same type at different distances, by calculating the distribution of optical density on their digital images.
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