Dr. Mariya G. Serikova Profile

Dr. Mariya G. Serikova

Researcher at ITMO Univ

Area of Expertise:

signal and image processing , optical detection theory , low signal-to-ratio clutter ratio processing , laser radar and optical systems , optical design and engineering

Websites:

Company Website

Publications (11)

Proceedings Article | 27 July 2019 Presentation

Multimodal nondestructive inspection of impact damages in composite laminates: a case study to assess the damage volume (Conference Presentation)

Andrei Anisimov, Mariya Serikova, Nan Tao, Chirag Anand, Fardin Esrail, Christos Kassapoglou, Roger Groves

Proceedings Volume 11059, 110590W (2019) https://doi.org/10.1117/12.2525808

KEYWORDS: Inspection, Composites, Nondestructive evaluation, Ultrasonics, Data modeling, Numerical modeling, Phased arrays, Shearography, Algorithm development, Data analysis

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The objective of this case study is to characterise and to numerically assess the volume of impact damages in composite laminates with multiple non-destructive testing techniques. Reliable and robust assessments of the damage volume will be used as input and validation data for the existing and developing numerical models of composite materials. In everyday work, researchers in the area of composite materials mostly use 2D assessment of the damaged area acquired with conventional inspection methods as ultrasonic c-scan. This practice is supported by the relative simplicity of the data analysis carried in 2D. It is proposed to assess the damage volume in 3D which may serve as a more reliable criterion to improve coupling with the numerical modelling. In this paper micro X-ray computed tomography (CT) was used as the reference technique for the damage volume assessment and comparison with an industrial ultrasonic c-scan. In addition, for this case study, ultrasonic phased array technique with the full matrix capture algorithms was used for the inspection together with shearography (speckle pattern shearing interferometry). A comparison of all techniques referenced to the CT data formed the guidance for their applicability. In addition, an attempt to fuse the multiple assessments was made to support the comparison of 2D and 3D inspection techniques. For the experimental part, carbon fiber reinforced polymer (CFRP) specimens of three layups were manufactured and damaged with 4 different impact energies in the range of 18-45 J. The layups were orthotropic, quasi-isotropic and a novel one adapted for the impact events. In total 12 specimens were inspected with multiple non-destructive testing techniques to numerically assess the volume of the impact damages. 3 additional specimens were used to assess the repeatability of the damage in the specimens with the same layup and impact energy. 3D CT reconstructions were made by a rotation of specimens using a cone-beam system with the voxel side size of 50 μm. A developed automatic segmentation algorithm was used for the damage volume estimation in all specimens. The phased array inspection was made with a full-matrix capture technique with the frequencies of 2.25 and 5 MHz. An available 3D shape shearography setup was used to characterise the damages both with the in- and out-of-plane surface strains with a thermal loading of the specimen. Future developments include the comparison of the inspection results together with the numerical modelling predictions and with residual strength after the impact.

Proceedings Article | 26 June 2017 Paper

High-reflection microprismatic material as a base for passive reference marks in machine vision metrology applications

Anna Trushkina, Aleksandr Vasilev, Mariya Serikova, Andrei Anisimov

Proceedings Volume 10334, 103340G (2017) https://doi.org/10.1117/12.2269426

KEYWORDS: Light sources, Light emitting diodes, Buildings, Reflectivity, Algorithm development, Image processing, Machine vision, Manufacturing, Metrology, Image filtering, Error analysis

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Proceedings Article | 29 April 2016 Paper

Accurate and high-performance 3D position measurement of fiducial marks by stereoscopic system for railway track inspection

Alexey Gorbachev, Mariya Serikova, Ekaterina Pantyushina, Daria Volkova

Proceedings Volume 9896, 98961I (2016) https://doi.org/10.1117/12.2228160

KEYWORDS: 3D metrology, 3D image processing, Machine vision, Inspection, Image analysis, Pattern recognition, Metrology, Cameras, Light emitting diodes, Imaging systems, Image processing, Calibration, Image segmentation, Detection and tracking algorithms

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Proceedings Article | 29 April 2016 Paper

Position estimation for fiducial marks based on high intensity retroreflective tape

Anna Trushkina, Mariya Serikova, Anton Pantyushin

Proceedings Volume 9896, 98961H (2016) https://doi.org/10.1117/12.2228141

KEYWORDS: Machine vision, Image processing, Image processing, Cameras, Metrology, 3D image processing, Machine vision, Computer vision technology, Image sensors, CCD cameras, Light emitting diodes, Sensors

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