Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: International Scientific Workshop «MIP Engineering 2019: Advanced Technologies in Material Science, Mechanical and Automation Engineering»; Krasnoyarsk; Krasnoyarsk

Год издания: 2019

Идентификатор DOI: 10.1088/1757-899X/537/2/022001

Аннотация: The paper considers the problem of anomaly detection in 3D images of fibre materials. The spatial Stochastic Expectation Maximisation algorithm and Adaptive Weights Clustering are applied to solve this problem. The initial 3D grey scale image was divided into small cubes subject to clustering. For each cube clustering attributes vaПоказать полностьюlues were calculated: mean local direction and directional entropy. Clustering is conducted according to the given attributes. The proposed methods are tested on the simulated images and on real fibre materials. The spatial Stochastic Expectation Maximization algorithm shows its effectiveness in comparison to Adaptive Weights Clustering.

Журнал: IOP Conference Series: Materials Science and Engineering

Выпуск журнала: 537

Номера страниц: 22001

Издатель: Institute of Physics and IOP Publishing Limited

• Dresvyanskiy Denis (Reshetnev Siberian State University of Science and Technology)
• Karaseva Tatiana (Reshetnev Siberian State University of Science and Technology)
• Mitrofanov Sergei (Reshetnev Siberian State University of Science and Technology)
• Redenbach Claudia (Technische Universität Kaiserlautern)
• Schwaar Stefanie (Fraunhofer Institute for Industrial Mathematics)
• Makogin Vitalii (Institut für Stochastik, Universität Ulm)
• Spodarev Evgeny (Institut für Stochastik, Universität Ulm)

• Ядро РИНЦ (eLIBRARY.RU)