Yegorov A. Multidimensional images intensity characteristics optimization based on the neuro-fuzzy technologies

The object is the transformation and visualizing process of the multidimensional images in the information systems. The aim is the creating of the information technology of the multidimensional images transformation based on using of the adaptive optimizing intensity characteristic and hybrid or dynamic fuzzy clustering methods. The methods are methods of the computer graphic, algorithm theory, digital image processing, matrix algebra and computational intellect (neuro-fuzzy technologies). The adaptive optimizing of the intensity characteristics and hybrid fuzzy clustering methods were proposed. The dynamic fuzzy clustering method was taken further advance. The intensity characteristics transformation technology of the multidimensional images based on proposed methods was created. The dissertation materials are implemented in corporation "PROMTELECOM", in Dnepropetrovsk regional skin-venerologic clinic and in the learning process of Dnepropetrovsk National University named by Oles Honchar. Scope - medicine, biology, geology, transport and the learning process.