The invention relates to the field of medical image processing and may be applied to endoscopic systems with decision-making support for automated recognition of neoplasms in human tissues and for targeting to biopsy sites, and also for increasing quality of endoscopic examination of blood vessel structures in human tissues. The task of the invention is increasing quality of endoscopic examination of blood vessel structures in human tissues due to increasing contrast and sharpness of microvessel pattern in examined tissue, eliminating background effects of multiple dispersion, uneven illumination, and tissue imaging geometry. The set task is solved such, that brightness ratios ρ1 in blue and green pixel channels, and also ρ2 in green and red pixel channels are determined in an image corresponding haemoglobin index HbI of tissue is determined using multiple regression equationwhere k+m≤3, αkm are regression coefficients obtained by least-squares method based on preliminary pixel brightness calculations in channels of applied imaging system for representative random realisation set of radiation transfer model parameters in a tissue, and corresponding haemoglobin index of tissue HbI=CHb/μs (λ), where CHb and μs (λ) are model parameters that characterise tissue haemoglobin concentration (g/l) and its transport dispersion coefficient (mm-1) at wavelength λ=632 nm, and tissue image is displayed on screen with tissue haemoglobin index as visualisation parameter.Изобретение относится к области обработки медицинских изображений и может использоваться в эндоскопических системах с поддержкой принятия решений для автоматизированного распознавания новообразований в тканях человека и рекомендации точек для прицельной биопсии, а также для повышения качества эндоскопического обследования кровеносных структур тканей человека. Задача изобретения - повышение качества эндоскопического обследования кровеносных структур тканей человека за счет повышения контраста и четкости микрососудист
