DEVELOPMENT OF A HIGH-PERFORMANCE METHOD FOR DETERMINING THE GEOMETRIC PARAMETERS OF OBJECTS IN THE IMAGE
Abstract
Currently, the development of various process automation systems is becoming more widely used every day in various fields and industries, the task of developing software methods for the corresponding automated systems remains urgent. One of the industries where the use and application of process automation systems is in demand is the field of non-contact measurement of objects and their parameters. As an example, the task of determining the geometric parameters of round timber stacked was chosen. In this regard, in this paper, methods were proposed for determining the geometric parameters of objects based on mathematical morphology operations, organized using the Canny detector and the Hough algorithm, and a method using a neural network approach based on the architecture of the YOLOv5 convolutional neural network. As a result of the conducted experimental studies, for the organization of which specially 3d-printed models of logs were used, it was found that the method based on the use of neural networks is more accurate than the method based on mathematical morphology. When solving the problem of counting the number of objects in the image, using the method based on the neural network approach, all objects located in the image were determined, whereas the method using mathematical morphology operations was able to determine only 13 of the 16 logs located, and I identified one false object, as a result of which the result error was about 19% for an image obtained from the Internet. When conducting an experiment on manufactured cylinder models, the method based on mathematical morphology operations showed unsatisfactory results. Another advantage of the method based on the neural network approach is the possibility of calculating the area of the ends of logs in the image and determining the volume of each of the logs located in the stack, as well as the total total volume of the entire pack of measured round timber.
