INFORMATION TECHNOLOGY OF STRUCTURAL TEXTURE ANALYSIS FOR PROCESSING OF IMAGE OF AUTO- AND XENOGENIC TISSUE
The article is devoted to the solution of urgent scientific and technical problems of automation of image analysis of auto- and xenogenic tissues through the development of information technology for the analysis of structural texture. Histological images is the subclass of images of auto- and xenogenic tissues. A method for estimating of structural atypia of histological images is developed. It based on the theory of crystallographic groups and affine trees transformations. It makes it possible to estimate the degree of distortion. Improved method of comparing areas of different shapes based on finding of corresponding points using discrete central points of region. Information technology for analysis of structural texture of images is developed. Implementation of the information technology has allowed to increase the level of automation of image processing by 10%. Information technology is implemented in a number of public health facilities Ukraine.