Abstract
This paper considers a method of image recognition, which is produced by the transformation of the object into a set of functions representing the area of intersection of the figure and its copy at its shift in one direction. The object of this research is image shapes of individual objects in the visual picture. The efficiency of different methods of optical image recognition has been conducted depending on the scale and rotation angle.
Highlights
The development of computer vision systems is one of the main directions of creation of artificial intelligence
This paper considers a method of image recognition, which is produced by the transformation of the object into a set of functions representing the area of intersection of the figure and its copy at its shift in one direction
The efficiency of different methods of optical image recognition has been conducted depending on the scale and rotation angle
Summary
The development of computer vision systems is one of the main directions of creation of artificial intelligence. There are a lot of recognition methods that describe the process of recognizing an object and assign it to a given class (Rafael, Richard, & Steven, 2004). The proposed method of image recognition is based on the definition of the area of intersection of the original figure and its copy, which is shifted in parallel direction. FAI(x) is determined as the area of intersection of the image (Figure 1а) and its copy, that is shifted in a parallel direction φ (Figure 1b). Etalon FAI was taken from the etalon database It was obtained during the learning process of image recognition systems for the image shown on the Figure 1b
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