Image processing and pattern recognition issues
Julia Gusynina, T. A. Shornikova · 2022
The article addresses some practical issues of image processing and pattern recognition in relation to medical and clinical trials. Medical and clinical diagnosis acts as an applied task. It is associated with the recognition on photographs and radiographs of sick people of pathologies of various types. Discretization of objects is carried out using specially designed rules that have different views for tone, color and multi-color images. Also, its algorithm has discretization of continuous curves and lines, points and polyhedra. Various image transformations are described, allowing the doctor to obtain several different projections of any internal organ of the patient. These are axial transverse tomography, image filtering, change of coordinate system, decomposition of images into rows, interpolation and approximation of images.