Abstract: One of the current directions in the field of materials science is the study and modeling of processes occurring in capillary-porous bodies. These facilities play an important role in areas such as oil production, medicine, construction, production of filters and batteries, and the creation of new materials, where accurate understanding and control of processes occurring in porous media is required. Modern modeling methods using computer vision and high computing power of computers can significantly improve the accuracy and efficiency of studies of capillary-porous bodies and processes in them. For porous bodies of irregular structure, accurate visual fixation of processes occurring inside objects is difficult, but there is a need for this especially for multilevel processes that affect the state of a porous body. The proposed simulators and models of the structure of such objects using simplifications and abstract models to assess the interaction of substances (diffusion, percolation, etc.) are unsuitable in heterogeneous and irregular structures. To obtain a geometric model of arbitrary-shaped pores, it is proposed to use digital image processing methods. An array of points describing the geometry of the pore has been created. A method of surface modeling based on spline interpolation of selected points is was chosen. To obtain a surface model of an irregular-shaped pore, a technique has been developed for forming an array of points based on the brightness levels of pixels of its digital image. The brightness levels for grouping the initial pore points are determined based on the local maxima of the brightness histogram. An algorithm for constructing a surface model of an irregular-shaped pore using spline interpolation of point arrays has been developed. The result of the software implementation of the developed algorithm for modeling the surface of irregular pores is presented. According to the developed method of geometric modeling of irregular pores, it is possible to obtain further information for analysis on the size and volume of pores, porosity of the object as a whole, as well as to analyze processes in porous objects. If necessary, to increase the accuracy of the shape, the number of brightness levels for grouping points can be increased.