UDC 004.932.2
MODEL AND METHOD FOR DETECTING COLORED OBJECTS USING MODIFIED RADIAL SYMMETRY TRANSFORMATION
R. M. Shakirzyanov, post-graduate student of KNITU-KAI, Kazan, Russia; orcid.org/0000-0002-8162-0310, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
M. P. Shleimovich, Ph.D (Tech.), Associate Professor, Head of the Department of ASOIU KNITU-KAI, Kazan, Russia; orcid.org/0000-0002-3021-5139,
e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Of great importance are the tasks of recognizing objects of a given shape and color on complex background in conditions of interference with high accuracy. In this regard, the development of effective algorithms for selecting objects that reduce the influence of noise component and reduce computational costs of performing operations in which the result will be suitable for subsequent analysis within the framework of the tasks being solved is an urgent task. This paper presents a model of objects and a method based on radial symmetry transformation for the problems of recognizing round-shaped colored objects in color images. Examples of such objects include the pupils of the eyes, traffic lights, car lights and light markers. The aim of the work is to increase the accuracy of detecting round-shaped colored objects in the images under interference conditions using modified radial symmetry transformation. The paper describes a model and a method for detecting objects in images, presents the results of numerical experiments that allow us to estimate the limits of applicability of the proposed method.
Key words: pattern recognition, machine vision, Hough method, radial symmetry transformation, color segmentation, weight model, Canny detector, digital noise.