Authors:
Artem Kruglov
and
Yuriy V. Chiryshev
Affiliation:
Ural State University named after the first President of Russia B. N. Yeltsin, Russian Federation
Keyword(s):
Image Processing, Boundary Detection, Hough Transform, Regression Analysis, Integral Projection.
Related
Ontology
Subjects/Areas/Topics:
Computer and Microprocessor-Based Control
;
Computer Vision, Visualization and Computer Graphics
;
Control and Supervision Systems
;
Engineering Applications
;
Image and Video Analysis
;
Image Processing
;
Industrial Networks and Automation
;
Informatics in Control, Automation and Robotics
;
Intelligent Control Systems and Optimization
;
Real-Time Systems Control
;
Robotics and Automation
;
Signal Processing, Sensors, Systems Modeling and Control
;
Time-Frequency Analysis
;
Vision, Recognition and Reconstruction
Abstract:
The scrutiny of boundaries isolation methods is presented in this paper. The newly developed algorithms, based on regression analysis and integral projection are compared with Hough transform in order to analyze their effectiveness for the specific problem of moving logs control. The comparative analysis of the methods was carried out on the database of images obtained from video sequence of real industrial process by the criteria of accuracy and operation speed. Results of the test show that the line-by-line scanning method with posterior LOWESS regression analysis has the best accuracy. However, the best appropriate for the implementation in the real-time control systems based on machine vision technology is consecutive line selection method due to its reasonable accuracy and impressive performance.