Experimental assessment of the informativity of signs in the analysis of 2d images of bone objects in forensic examination.

This article describes the software implementation of system for extracting and evaluating information features from 2D images bone fractures objects classifying identifying alleged instrument that caused injury. As parameters, textural characteristics Haralick, local binary patterns pixels images, Gabor filters, Laws energy texture are considered. The analysis carried out on basis content estimation to select most suitable solving problem classification. results will be used development methods complex forensic examination polygonal surfaces solid automated analyzing digital images.