Application of clustering methods to anomaly detection in fibrous media

• Published in: IOP conference series. Materials Science and Engineering Vol. 537; no. 2; pp. 22001 - 22007
• Main Authors: Dresvyanskiy, Denis, Karaseva, Tatiana, Mitrofanov, Sergei, Redenbach, Claudia, Schwaar, Stefanie, Makogin, Vitalii, Spodarev, Evgeny
• Format: Journal Article
• Language: English
• Published: Bristol IOP Publishing 01.05.2019
• Subjects: Adaptive algorithms; Anomalies; Clustering; Cubes; Maximization; Optimization

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 e...