Algorithm for the formation of closed contours of objects represented by small piecewise-discontinuous functions for the tasks of constructing stable features and automated selection of areas of complex shape when processing scenes obtained in the infrared and optical ranges
Evgeny A. Semenishchev, Viacheslav Voronin, Aleksandr Zelensky, Sos С. Agaian, Marina M. Zhdanova, Nikolay Mitugov · 2022
The paper proposes an algorithm for forming stable features and identifying the boundaries of objects obtained in the analysis of scenes recorded in the infrared and optical ranges. The proposed approach is based on a sequential process and includes the following steps. The analysis of the boundaries of objects fixed in the visible range is carried out. For images obtained in the far-infrared range (thermal imaging), a method of decreasing the dimensionality of the cluster swing is used, which makes it possible to reduce the data bit range while preserving the boundaries of objects. Reducing the ranges is performed using analyzing histograms of color gradients and the absorption of scarcely occurring blocks by neighboring ones. Creation of masks of objects and formed closed contours. Search for intersections of the boundaries of objects (visible range) and formed masks (thermal images). Formation of areas of crossing borders and objects, search for an average line between pairs of generated data. Plotting the resulting curve and the close of curves if they are gap. As a criterion for ruining the curve used for analyzing the distance between pare elements (length of 3 pixels). The construction of the connecting line is made from the edges of the formed boundaries by interpolating a straight line. Pairs of test images obtained by sensors with a resolution of 1024x768 (8 bit, color image, visible range) and 320x240 (8 bit, color, thermal images) are used as test data to assess the effectiveness. Images of simple shapes are used as analyzed objects.