Using Open Source Libraries in the Development of Control Systems Based on Machine Vision

Kruglov, V. N.

doi:10.1007/978-3-030-47240-5_7

Please use this identifier to cite or link to this item: http://elar.urfu.ru/handle/10995/90414

Title:	Using Open Source Libraries in the Development of Control Systems Based on Machine Vision
Authors:	Kruglov, V. N.
Issue Date:	2020
Publisher:	Springer
Citation:	Kruglov, V. N. Using Open Source Libraries in the Development of Control Systems Based on Machine Vision / V. N. Kruglov. — DOI 10.1007/978-3-030-47240-5_7 // IFIP Advances in Information and Communication Technology. — 2020. — Iss. 582 IFIP. — P. 70-77.
Abstract:	The possibility of the boundaries detection in the images of crushed ore particles using a convolutional neural network is analyzed. The structure of the neural network is given. The construction of training and test datasets of ore particle images is described. Various modifications of the underlying neural network have been investigated. Experimental results are presented. © 2020, IFIP International Federation for Information Processing.
Keywords:	CONVOLUTIONAL NEURAL NETWORK GRAIN-SIZE ANALYSIS MACHINE LEARNING MACHINE VISION OBJECT BOUNDARIES DETECTION OPEN SOURCE LIBRARIES COMPUTER VISION CONVOLUTIONAL NEURAL NETWORKS ON-MACHINES OPEN-SOURCE LIBRARIES PARTICLE IMAGES OPEN SYSTEMS
URI:	http://elar.urfu.ru/handle/10995/90414
Access:	info:eu-repo/semantics/openAccess
SCOPUS ID:	85084981594
PURE ID:	12911881
ISSN:	1868-4238
ISBN:	9783030472399
DOI:	10.1007/978-3-030-47240-5_7
metadata.dc.description.sponsorship:	Foundation for Assistance to Small Innovative Enterprises in Science and Technology, FASIE Funding. The work was performed under state contract 3170ΓC1/48564, grant from the FASIE.
Appears in Collections:	Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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