Constructing the model of unified algorithmic environment for solving the complex image processing problems based on the Voronoi diagram

• Dmytro Kotsur

The dissertation is devoted to the development of the Model of the Unified Algorithmic Environment based on the Voronoi diagram for solving the following image processing problems: segmentation and binarization, object tracking, medial axis construction, identification of proximity regions, calculation of the descriptors and properties of the objects in the image.

Image processing and analysis problems are essential components of human’s life. The invention of computers ignited a new era of digital image processing. Nowadays the state-of-the-art investigations in the field of chemistry, biology, and medicine rely on the processing and analysis of the enormous amounts of data from the various sources: scanners, digital cameras, microscopes, computer tomographs, and others. The analysis of such data is very time-consuming and requires the training of the qualified staff. Therefore, the development of efficient automated methods for solving the image processing problems is extremely relevant and prospective research direction.