As of now, many investigations are performed in order to develop methods of correlation with the help of relevant algorithms. This is especially helpfull for plotting vectors of displacements in order to estimate deformation of various materials, as well as to determine correspondence between sections of two images through calculation of the cross-correlating functions and to ensure seeking of the extremum. The aim of this study was to develop relevant method to estimate mechanism of fracture of materials in accordance with the data of analysis of a photographic image in respect of the parameter of the image intensity. In addition, this method is to be used with the help of the multivariate analysis (multi-factor analysis) of the interrelationship between image intensity, surface roughness, and possibility to determination the geometrical parameters of the deformation area/deformation volume under different conditions of operation. Digital method of processing of photographs/video frames has been used in order to investigate microstructure and surface of materials in respect of criterion of the image intensity in the course of mechanical tests in accordance with deformations. Quantitative parameters of the image intensity were compared to the structure of material, as well as to the surface roughness before and after destruction of samples. The images used were obtained during mechanical testing of aluminium samples. To ensure the validity of the test results, six specimens of the same type were tested. A stress-strain diagram was drawn up for each specimen. Stress-strain diagrams from the mechanical tests were compared with those from the photo analysis using the method described above. The results correlate well with each other, but unlike the experiment, where the strain is measured only at the strain gauge location, the photo analysis provides a complete picture of the strain distribution over the entire specimen area. In addition, a multivariate analysis has been carried out to evaluate the geometric dimensions and shapes of the structure elements.