RESEARCH OF IMAGE SEGMENTATION METHODS FOR THEIR UNIFICATION

Abstract

The paper presents the author's research in the direction of reviewing effective methods of segmentation that can be used in the educational process today. The basic solutions and their mathematical substantiation are analyzed in the work. The main limitations of application and problem areas of application are shown. The paper describes the basic principles of threshold determination. Threshold methods are one of the easiest to implement and most widely used methods of image segmentation. The purpose of the threshold is to divide the image into regions with specified characteristics and delete all other regions that are considered insignificant. The material presented in this paper provides a basic understanding of the different strategies for selecting thresholds. The main goal of this paper is review of image segmentation methods. The necessity of constructing a mathematical model arises immediately when using a computer for image processing. By evaluating the "eye" affiliation of a pixel to a particular segment, we do not think about how it is done but for computer we need write algorithm. If the task is some adaptation, we need to have written all possibility conditions. Instructing this computer, we have to teach him to perform similar actions, that is, to put in it the corresponding data and algorithms. The paper investigates the methods of segmentation that are carried out primarily in order to reduce the information redundancy of the image for specific time conditions, leaving it only the information that is needed to solve a particular task at a specific time point. In the binary image, the parts that are of interest to us (for example, the outlines of the displayed objects) must be preserved and insignificant features (background) are excluded. The main idea is form the basis for teaching math in the system of perception. In particular, the computer should feel and understand the dynamics of the real world. Therefore, the author investigates the models and means of synthesizing the methods of perception of data of the visual spectrum, arriving in real time. Global threshold method, multilevel threshold method, semithreshold method, variable threshold method are studied in the paper. Mathematical base is studies and presented in the article. Mathematic of image processing is integrated in the end of every part.