Open AccessVisible Structures Highlighting Model Analysis Aimed at Object Image Detection Problem
Author(s) -
И Р Сайфудинов,
Vladimir Mokshin,
П И Тутубалин,
Leonid Sharnin,
Dmitriy Hohlov
Publication year - 2018
Language(s) - English
Resource type - Conference proceedings
DOI - 10.18287/1613-0073-2018-2210-139-148
Subject(s) - computer vision , computer science , process (computing) , artificial intelligence , image segmentation , truck , segmentation , image (mathematics) , software , object (grammar) , object detection , filter (signal processing) , image processing , watershed , engineering , programming language , aerospace engineering , operating system
The research considers an approach to solving the problem of reducing the data processed in mobile platforms oriented video-analytic systems. Different models of human visual attention has been analyzed and also classified according to the image segmentation. The results obtained are presented in the form of the method used for isolating the borders of the most significant object in the image. They are based on the optimization the length and curvature values of the object borders. This approach allows to filter significant structures in the image and process them with the help of image segmentation techniques. The method was evaluated according to usage the accuracy criterion along with other methods in delineation of boundaries: threshold value, morphological processing and watershed. Software and hardwaresystem for registering dump trucks has been improved. It gives the possibility to automatize the process of registration dump trucks, training them during the construction of roads.