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            diagnostic  parameters.  The  developed  methods  include  image  pre-processing,
            localization of objects of interest, segmentation, quantitative parameter estimation. It
            is necessary to highlight the localization of welds and determining the size of welding
            defects on a complex-structured background, analysis of corrosion damage on images
            of painted surfaces of arbitrary color, modeling and analysis of laser reinforcement of
            aluminum alloy with silicon carbide particles, evaluation of porosity of metal coatings,
            improving  the  accuracy  of  tracking  motion  in  electron  beam  welding,  analysis  of
            fractographic images of fractures of heat-resistant steels.
                    A structure-adaptive method of segmentation of weld zones of different shapes
            on  radiographic  images  has  been  developed.  Due  to  the  introduction  of  new
            informative features of defects in the welding area of the oil and gas pipes, a method
            of defect segmentation  was constructed, which increased the probability of correct
            classification of spherical pores and slags. A method for calculating the depth of defects
            based  on  their  radiographic  images  has  been  developed  and  the  relative  errors  in
            calculation the width and depth of defects have been experimentally established.
                    On the basis of a cylindrical color model and a single-scale retinex, a method of
            structure-adaptive segmentation of corrosion damage on images of painted surfaces of
            arbitrary color obtained under non uniform illumination was developed.
                    Modelling for different volume concentrations of particles in the surface layer
            of aluminum alloy based on uniform distribution was performed. This made it possible
            to  compare  experimental  and  simulated  images  of  surface  layers  cross-section  to
            determine the volume concentration of silicon carbide particles and further prediction
            the mechanical properties of such surfaces.
                    A  method  of  structure-adaptive  localization  and  segmentation  of  pores  on
            surface  images  of  oxide  ceramic  coatings  has  been  developed,  which  uses  the
            verification of the pore background area, which provides the possibility of calculating

            the degree of porosity of the coating.

                    Key words: image segmentation, non-destructive testing, digital radiography,
            corrosion of structures.
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