Dr. Andrei G. Anisimov Profile

Dr. Andrei G. Anisimov

Assistant Professor at Technische Univ Delft

SPIE Involvement:

Author | Leadership Workshop Facilitator

Area of Expertise:

Industrial Sensing & Measurement , CCD and CMOS sensors and television systems in common , Optical Design & Engineering , Optical measurements , High precision shift and angular control optical-electronic

Websites:

Company Website

Profile Summary

I am interested in machine vision and laser interferometry techniques for high precision measurement and non-destructive testing of aerospace and civil engineering materials and structures

Focus on research and development of optical measuring devices from a scratch up to a prototype

Main techniques: shearography, fringe projection, multiple view computer vision, alignment telescopes, phased array ultrasonics

Publications (22)

Proceedings Article | 15 August 2023 Poster + Paper

Poster + Paper

Comparative performance of high and medium resolution cameras for defect detection in carbon-fiber reinforced composites by digital shearography

Kazi Monowar Abedin, Nan Tao, Andrei Anisimov, Roger Groves

Proceedings Volume 12618, 126181X (2023) https://doi.org/10.1117/12.2669718

KEYWORDS: Shearography, Composites, Digital cameras, Defect detection, Nondestructive evaluation, Spatial resolution, Shearing interferometers, Deformation

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Proceedings Article | 9 August 2023 Presentation + Paper

Presentation + Paper

Application of shearography with thermal loading for the structural inspection of Rembrandt’s Night Watch

Nan Tao, Andrei Anisimov, Esther van Duijn, Lisette Vos, Ilse Steeman, Katrien Keune, Petria Noble, Roger Groves

Proceedings Volume 12620, 126200A (2023) https://doi.org/10.1117/12.2673263

KEYWORDS: Inspection, Shearography, Cameras, Equipment, Deformation, 3D image processing, Cultural heritage, Optical metrology

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Proceedings Article | 9 August 2023 Presentation + Paper

Presentation + Paper

Four-flux model combined with optical coherence tomography technique for non-destructive testing of the colour ground layers of the paintings

Xiang Wang, Andrei Anisimov, Roger Groves

Proceedings Volume 12620, 1262009 (2023) https://doi.org/10.1117/12.2673457

KEYWORDS: Optical coherence tomography, Reflection, Pigments, Nondestructive evaluation, Hyperspectral imaging

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Proceedings Article | 8 July 2021 Presentation + Paper

Presentation + Paper

Three-dimensional spectral measurements of paint samples using optical coherence tomography

Michael Maria, Lieve d'Hont, Andrei Anisimov, Maartje Stols-Witlox, Roger Groves

Proceedings Volume 11784, 117840Q (2021) https://doi.org/10.1117/12.2592663

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Proceedings Article | 8 July 2021 Presentation + Paper

Presentation + Paper

Application of shearography and the percussion method for the structural inspection of wall paintings: a case study of St. Christopher in Maria Church, Nisse

Valentina Gatto, Andrei Anisimov, Wouter Lettinga, Nan Tao, Merel Lantman, Bernice Crijns, Roger Groves

Proceedings Volume 11784, 117840K (2021) https://doi.org/10.1117/12.2591911

KEYWORDS: Shearography, Inspection, Infrared cameras, Thermography, Temperature metrology, Lamps, Interferometry, Halogens, Defect detection, Data fusion

Read Abstract +

Structural delamination in mural paintings is a complex phenomenon and is considered among the most frequent types of damage. In conservation practice, the most common technique to identify structural detachments in wall paintings is the percussion method, otherwise known as the ‘tap and listen’ approach. Full-field optical techniques based on interferometry, such as shearography, can potentially provide a more scientifically substantiated evaluation of the condition of heterogeneous structures of wall paintings. The empirical nature of the percussion method was observed during the condition assessment of two medieval wall paintings in Maria Church, Nisse, Netherlands. Consequently, the need to obtain more knowledge regarding the structural condition of these wall paintings was established. Furthermore, to allow the formulation of specific treatment needs for structural delamination in wall paintings, accurate defect mapping is needed. The application of shearography coupled with thermography was believed to provide an holistic representation of the structural condition of the wall painting depicting St. Christopher in Maria Church. A comparison of the practical execution and the interpretation of data between shearography and the percussion method was conducted to deliver a description of both techniques. Initial comparison of the two methods confirmed what was already hypothesised: I) the percussion method can provide an approximate indication of delaminated areas. Results, which are considered both non-qualitative and non-quantitative, are dependent on the experience of the conservator; II) shearography can produce qualitative and quantitative results regarding the presence of delamination in complex structures of wall paintings. Analysis of the shearography data together with the percussion method may result in a reliable way to map the defects for future conservation activities. The next steps include optimisation of the thermal excitation for shearography to maximise the defect detection and adapt the shearography output for onsite interpretation by conservators and professionals in the cultural heritage.

Proceedings Article | 21 June 2021 Presentation

Presentation

AIRTuB: towards automated inspection of leading-edge erosion of wind turbine blades by shape analysis

Andrei Anisimov, Ronald Beukema, Jason Hwang, Rogier Nijssen, Roger Groves

Proceedings Volume 11785, 117850W (2021) https://doi.org/10.1117/12.2592291

KEYWORDS: Inspection, Wind turbine technology, Shape analysis, Sensors, Manufacturing, Machine learning, Wind energy, Visualization, Laser scanners, Imaging systems

Read Abstract +

Currently, wind turbine blades are designed following a safe-life paradigm where manufacturing defects and operational damages are not taken into account. However, industry competition steers innovation towards typical solutions to maximize the economical output. The harsh environment, especially for offshore wind turbines, significantly degrades the turbine structural integrity and its performance. One of the major factors that lowers energy production due to aerodynamic losses is the erosion of the leading edges. Nowadays this erosion is monitored visually, either directly or with drone-based camera systems. We expect a quantitative characterization of the current erosion state and long term degradation monitoring to provide crucial information for wind farm maintenance and possible recoating of wind turbine blades. In this project, a customized long-range laser line scanner is used to measure the profiles of the blades at distances of up to 2 m. Individual scans are assembled into a 3D point cloud which is processed and analysed for defects and erosion. Further in the project, a custom-developed heavy drone will be used to scan the blades offshore. Current results include the detection of eroded areas, impact damages and surface defects in laboratory conditions with the sensor positioned with a scanning frame. Two processing approaches, namely deterministic and machine learning are compared and benchmarked with an ambition to perform erosion detection at a submillimeter scale. The deterministic approach includes local analysis of the surface variation, thresholding and clustering of the defects. Present controlled conditions allow investigation of how predicted drone vibrations, possible water droplets and salt contamination affect the inspection in a real offshore environment. This development is done within the smart maintenance innovation project AIRTuB: Automatic Inspection and Repair of Turbine Blades where the inspection expertise is combined with drone and wind-turbine manufacturers to change the turbine design paradigm from safe life to damage-tolerant.

Proceedings Article | 20 June 2021 Presentation + Paper

Presentation + Paper

Spatially modulated thermal excitations for shearography non-destructive inspection of thick composites

Nan Tao, Andrei Anisimov, Roger Groves

Proceedings Volume 11782, 117820V (2021) https://doi.org/10.1117/12.2592293

KEYWORDS: Shearography, Modulation, Composites, Inspection, Nondestructive evaluation, Defect detection, Ocean optics, Wind energy, Signal to noise ratio, Signal detection

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Proceedings Article | 1 April 2020 Presentation + Paper

Presentation + Paper

Analysis of a SD-OCT-based hyperspectral system for spectral reflectance measurements

Michael Maria, Andrei Anisimov, Maartje Stols-Witlox, Roger Groves

Proceedings Volume 11354, 113541J (2020) https://doi.org/10.1117/12.2555435

KEYWORDS: Optical coherence tomography, Reflectivity, Cameras, Fourier transforms, Spectrometers, Hyperspectral systems, Visible radiation, Spectroscopy, Spectral resolution, Optical filters

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Proceedings Article | 17 February 2020 Presentation + Paper

Presentation + Paper

Spectra stitching for ultra-high resolution, low sensitivity decay and high-speed SD-OCT

Michael Maria, Andrei Anisimov, Maartje Stols-Witlox, Roger Groves

Proceedings Volume 11231, 1123104 (2020) https://doi.org/10.1117/12.2545157

KEYWORDS: Spectroscopy, Optical coherence tomography, Spectral resolution, Signal detection, Interferometers, Point spread functions, Imaging systems

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Proceedings Article | 27 July 2019 Presentation

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

Read Abstract +

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 | 21 June 2019 Presentation + Paper

Presentation + Paper

EXTREME shearography: high-speed shearography instrument for in-plane surface strain measurements during an impact event

Andrei Anisimov, Roger Groves

Proceedings Volume 11056, 110560J (2019) https://doi.org/10.1117/12.2525801

KEYWORDS: Shearography, Cameras, Composites, Sensors, Interferometers, Mach-Zehnder interferometers, Speckle, Aluminum, Data modeling, Phase shifts

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Proceedings Article | 7 September 2018 Paper

Paper

EXTREME shearography: development of a high-speed shearography instrument for measurements of the surface strain components during an impact event

Andrei Anisimov, Roger Groves

Proceedings Volume 10834, 108340X (2018) https://doi.org/10.1117/12.2318692

KEYWORDS: Damage detection, Experimental mechanics, Shearography, Cameras, Composites, Sensors, Acoustic emission, Wave propagation, Speckle, Interferometry

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Proceedings Article | 26 June 2017 Paper

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 | 22 June 2015 Paper

Paper

3D shape shearography with integrated structured light projection for strain inspection of curved objects

Andrei Anisimov, Roger Groves

Proceedings Volume 9525, 952517 (2015) https://doi.org/10.1117/12.2184058

KEYWORDS: Shearography, Cameras, Clouds, Projection systems, Imaging systems, Calibration, Inspection, Speckle pattern, Prototyping, Structured light

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Proceedings Article | 22 June 2015 Paper

Paper

Retroreflective microprismatic materials in image-based control applications

Mariya Serikova, Anton Pantyushin, Elena Gorbunova, Andrei Anisimov

Proceedings Volume 9530, 95300E (2015) https://doi.org/10.1117/12.2184831

KEYWORDS: Image processing, Image filtering, Cameras, Digital filtering, Opacity, LED backlight, Optical filters, Light emitting diodes, Algorithm development, Reflectivity

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Proceedings Article | 3 April 2015 Paper

Paper

Strain characterization of embedded aerospace smart materials using shearography

Andrei Anisimov, Bernhard Müller, Jos Sinke, Roger Groves

Proceedings Volume 9435, 943524 (2015) https://doi.org/10.1117/12.2082636

KEYWORDS: Cameras, Shearography, Aerospace engineering, Manufacturing, Smart materials, Composites, Aluminum, Copper, Defect detection, Glasses

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Proceedings Article | 1 May 2014 Paper

Paper

Alignment control optical-electronic system with duplex retroreflectors

Maksim Kleshchenok, Andrey Anisimov, Oleg Lashmanov, Alexandr Timofeev, Valery Korotaev

Proceedings Volume 9131, 91311X (2014) https://doi.org/10.1117/12.2052290

KEYWORDS: Light emitting diodes, Control systems, Retroreflectors, Optoelectronics, Distortion, Optical alignment, Photodetectors, Cameras, LabVIEW, Nonlinear optics

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Proceedings Article | 13 May 2013 Paper

Paper

Absolute scale-based imaging position encoder with submicron accuracy

Andrey Anisimov, Anton Pantyushin, Oleg Lashmanov, A. Vasilev, Alexander Timofeev, Valery Korotaev, Sergey Gordeev

Proceedings Volume 8788, 87882T (2013) https://doi.org/10.1117/12.2021022

KEYWORDS: Computer programming, Imaging systems, Calibration, Magnetism, Image processing, Standards development, Sensors, Optical design, Charge-coupled devices, Prisms

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Proceedings Article | 27 May 2011 Paper

Paper

Choice of the reflector for the autocollimating alignment telescope

Andrey Anisimov, Alexandr Timofeev, Valery Korotaev

Proceedings Volume 8082, 80823E (2011) https://doi.org/10.1117/12.889311

KEYWORDS: Reflectors, Mirrors, Eye, Telescopes, Reflector telescopes, Control systems, Prisms, Retroreflectors, Zemax, Sensors

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Proceedings Article | 20 August 2010 Paper

Paper

Study of the influence of the tetrahedral reflectors properties on autocollimating systems characteristics

Andrey Anisimov, Elena Tsyganok, Igor Konyakhin

Proceedings Volume 7786, 77860V (2010) https://doi.org/10.1117/12.859822

KEYWORDS: Reflectors, Collimation, Control systems, Mirrors, Image processing, Optical simulations, MATLAB, Mathematical modeling, Error analysis, Zemax

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Proceedings Article | 1 October 2009 Paper

Paper

Accuracy characteristics of the shift control optical-electronic measurement system

Andrey Anisimov, Andrey Krasnyashchikh, Alexander Timofeev, Valery Korotaev

Proceedings Volume 7427, 74270L (2009) https://doi.org/10.1117/12.826390

KEYWORDS: Control systems, Charge-coupled devices, Light emitting diodes, Error analysis, Stereolithography, Optical testing, Optical components, Reflectors, CCD image sensors, Radio optics

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Proceedings Article | 12 January 2009 Paper

Paper

Design and test of optoelectronic system of alignment control based on CCD camera

A. Anisimov, A. Gorbachyov, A. Krasnyashchikh, A. Pantushin, A. Timofeev

Proceedings Volume 7133, 71333S (2009) https://doi.org/10.1117/12.807879

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Showing 5 of 22 publications

Conference Committee Involvement (6)

Optical Measurement Systems for Industrial Inspection XIV

23 June 2025 | Munich, Germany

Multimodal Sensing and Artificial Intelligence for Sustainable Future

23 June 2025 | Munich, Germany

Multimodal Sensing and Artificial Intelligence: Technologies and Applications III

27 June 2023 | Munich, Germany

Optical Measurement Systems for Industrial Inspection XIII

26 June 2023 | Munich, Germany

Multimodal Sensing and Artificial Intelligence: Technologies and Applications II

21 June 2021 | Online Only, Germany

Showing 5 of 6 Conference Committees

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