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http://elar.urfu.ru/handle/10995/92714
Title: | Comparative analysis of methods for the log boundaries isolation |
Authors: | Kruglov, A. V. Chiryshev, Y. V. |
Issue Date: | 2015 |
Publisher: | SciTePress |
Citation: | Kruglov A. V. Comparative analysis of methods for the log boundaries isolation / A. V. Kruglov, Y. V. Chiryshev. — DOI 10.5220/0005552703570361 // ICINCO 2015 - 12th International Conference on Informatics in Control, Automation and Robotics, Proceedings. — 2015. — Iss. 2. — P. 357-361. |
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. |
Keywords: | BOUNDARY DETECTION HOUGH TRANSFORM IMAGE PROCESSING INTEGRAL PROJECTION REGRESSION ANALYSIS COMPUTER CONTROL SYSTEMS FEATURE EXTRACTION HOUGH TRANSFORMS IMAGE PROCESSING REAL TIME CONTROL REGRESSION ANALYSIS ROBOTICS BOUNDARY DETECTION COMPARATIVE ANALYSIS INDUSTRIAL PROCESSS INTEGRAL PROJECTIONS OPERATION SPEED REASONABLE ACCURACY SPECIFIC PROBLEMS VIDEO SEQUENCES IMAGE ANALYSIS |
URI: | http://elar.urfu.ru/handle/10995/92714 |
Access: | info:eu-repo/semantics/openAccess |
SCOPUS ID: | 84943514975 |
WOS ID: | 000380619000050 |
PURE ID: | 290767 |
ISBN: | 9789897581236 |
DOI: | 10.5220/0005552703570361 |
Appears in Collections: | Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC |
Files in This Item:
File | Description | Size | Format | |
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10.5220-0005552703570361.pdf | 521,64 kB | Adobe PDF | View/Open |
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