CASPIAN JOURNAL
MANAGEMENT AND HIGH TECHNOLOGIES
Classification of geometric figures incribed in a square by their form using diagonal form features
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Read | Sadykov Sultan S., Terekhin Andrey V. Classification of geometric figures incribed in a square by their form using diagonal form features // Caspian journal : management and high technologies. — 2014. — №1. — pp. 081-092. |
Sadykov Sultan S. - D.Sc. (Engineering), Murom Institute (branch) of Vladimir State University named after Alexander and Nicholay Stoletovs, 23 Orlovskaya St., Murom, Vladimir region, 602264, Russian Federation, sadykovss@r4f.su
Terekhin Andrey V. - post-graduate student, Murom Institute (branch) of Vladimir State University named after Alexander and Nicholay Stoletovs, 23 Orlovskaya St., Murom, Vladimir region, 602264, Russian Federation, terehin_murom@r4f.su
In this paper, in order to reduce the time and improve the accuracy of real object recognition, we investigate the classification of geometric figures on the grounds of form. Such a problem is an important step in the development of automatic identification systems (AIS). A method for classification of geometric shapes according to their shape by using a set of characteristics, the normalized specific manner, and having a common specified range. Classification is based on an algorithm to compute the diagonal signs by which to classify all the figures were identifying with high probability. Factors considered in the work to empower the classification of convex geometric shapes using a rectangular shape factor, shape factor and the diagonal coefficients of the diagonal segments. As an example, were considered flat geometric shapes, inscribed in a square. There are two main groups among them – the first are regular polygons, with an even number of edges and circle, the second ones are not regular polygons, fits into a square. Formulas for calculating features and images for illustrating figures details are provided, tables of experimental automatic (program) and manual calculations are given. The study proposed to use and developed an algorithm for calculating form features and the classification method in recognizing AIS images of real objects, in the case where the projection of these objects on a plane close to the convex shape of geometric shapes.
Key words: sign, form, classification, classification errors, diagonal form factor, geometric shapes, automatic identification systems