COMPLEX ALGORITHM OF DIGITAL IMAGE SEGMENTATION AND CLASSIFICATION OF VISUAL OBJECTS

The article presents a complex algorithm for digital image segmentation and classification of visual objects. The classification of segmentation methods is given and the principles of clustering are revealed. It is noted that the main method of data clustering can be divided into hierarchical and sectional clustering, edge segmentation classification is edge-based segmentation, this type of segmentation usually uses edge detection or edge concept. The principles of implementation of the segmentation algorithm by region / region are determined. It is emphasized that the basis of the segmentation algorithm by region / area is the assumption that neighboring pixels within one area have a similar value, the general procedure is to compare one pixel with neighbors. It is emphasized that if the similarity criterion is met, the pixel can be set as belonging to the cluster as one or more of its neighbors, the choice of similarity criterion is important, and the results are affected by the presence of noise. The types of segmentation algorithm by region / region are described the algorithm of growing region and block segmentation. It is noted that the first performs image segmentation by examining adjacent pixels of a set of points and determines whether pixels could be classified into a cluster of the main point or not, and the second is analogous to the first with the difference that there is no need to select point criteria, points are generated automatically. The stages of algorithms for implementing each of the described approaches to segmentation and their advantages and disadvantages are presented. A complex algorithm of digital image segmentation is formed, which is presented in the form of a block diagram. It is emphasized that an alternative approach to improving the accuracy of recognition is to use information about the structure of relationships between categories of regions / objects. The directions of further researches which are based on software development of complex algorithm are outlined.