image segmentation

It is acknowledged that each person's life, group of people and nation is formed depending on geographical, economic, political, cultural and religious conditions. Lifestyle is formed as a result of daily repetition and consists of the following factors: nutrition, exercise, the presence of bad habits, moral and spiritual development, and so on. In recent decades, lifestyle has been considered an integral part of well-being, leading to increased research. According to the scientist's study, more than half of health problems are related to diet.

This paper examines the main methods and principles of image formation, display of the sign language recognition algorithm using computer vision to improve communication between people with hearing and speech impairments. This algorithm allows to effectively recognize gestures and display information in the form of labels. A system that includes the main modules for implementing this algorithm has been designed.

We propose a computer vision system based on multi-processor architecture that uses multi-port memory with equal access to all special microprocessors.

We consider a microcontroller implementation of a histogram-based algorithm for finding object coordinates in monochrome video.

An efficient graph-based image segmentation algorithm (EGBIS) is considered. The aspects of an efficient algorithm implementation, in particular the use of “Disjoint sets union” data structure with its heuristics “path compression” and “union be rank”, are investigated. A suitability of the algorithm for the use in automated systems is reviewed. An applicability of cluster validity measures for image segmentation quality assessment is analyzed.