Open AccessInvestigation of edge detection methods using the example of wave field pattern image
Author(s) -
Alexander A. Yakimenko,
Anna I. Makfuzova
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1019/1/012008
Subject(s) - prewitt operator , sobel operator , edge detection , artificial intelligence , computer science , gabor filter , pattern recognition (psychology) , field (mathematics) , computer vision , artificial neural network , canny edge detector , image (mathematics) , image processing , mathematics , pure mathematics
This article explores the methods of detecting boundaries in images of wave field patterns. As a result, an application for image processing was developed using Sobel, Prewitt, Roberts, Gabor and Canny filters and experiments were carried out to detect the edge on images of wave field patterns. In conclusion, the quantitative and qualitative characteristics of the filters were presented, and a conclusion was made on the selection of the boundary detection filter. The results of this study will be used in the study of the neural network neocognitron for the recognition of geological and physical models of environments (GPME). This work was supported by the RFBR grant No. 19-07-00170.