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High pressure die casting technology is characterised by the production of high quality, complex shaped casts with good mechanical properties. However, die casts have a certain amount of porosity which can reduce their quality and mechanical properties. Mechanical properties are determined not only by the percentage of pores in the volume of the casting, but also by their geometric shape, taking into account the possibility of crack initiation at the edge of the pore. The shape and geometry of the pores are characterised by the roundness factor, which can be used to predict the mechanical properties of the castings. This paper addresses the problem of evaluating pore geometry with a view to automating the determination of the roundness factor and, at the same time, the percentage evaluation of the proportion of pores in the area of the metallographic section of the specimen. Metallographic sections are prepared from selected sets of casts, in which pore shape and quantity are automatically evaluated using selected image processing techniques. The roundness factor is defined, and the pores are classified into different categories based on this factor.