Machine learning to analyze images of shocked materials for precise and accurate measurements

Dresselhaus-Cooper, Leora; Howard, Marylesa; Hock, Margaret C.; Meehan, B. T.; Ramos, Kyle J.; Bolme, Cindy A.; Sandberg, Richard L.; Nelson, Keith A.

doi:10.1063/1.4998959

Title: Machine learning to analyze images of shocked materials for precise and accurate measurements

Abstract

A supervised machine learning algorithm, called locally adaptive discriminant analysis (LADA), has been developed to locate boundaries between identifiable image features that have varying intensities. LADA is an adaptation of image segmentation, which includes techniques that find the positions of image features (classes) using statistical intensity distributions for each class in the image. In order to place a pixel in the proper class, LADA considers the intensity at that pixel and the distribution of intensities in local (nearby) pixels. This paper presents the use of LADA to provide, with statistical uncertainties, the positions and shapes of features within ultrafast images of shock waves. We demonstrate the ability to locate image features including crystals, density changes associated with shock waves, and material jetting caused by shock waves. This algorithm can analyze images that exhibit a wide range of physical phenomena because it does not rely on comparison to a model. LADA enables analysis of images from shock physics with statistical rigor independent of underlying models or simulations.

Authors:

^[1]; Howard, Marylesa ^[2]; Hock, Margaret C. ^[2]; Meehan, B. T. ^[2]; Ramos, Kyle J. ^[3];

^[3]; Sandberg, Richard L. ^[3]; Nelson, Keith A. ^[1]

Massachusetts Institute of Technology (MIT), Cambridge, MA (United States)
Nevada National Security Site, North Las Vegas, NV (United States)
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)

Publication Date:: Thu Sep 14 00:00:00 EDT 2017

Research Org.:: Nevada Test Site (NTS), Mercury, NV (United States); Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States)

Sponsoring Org.:: USDOE National Nuclear Security Administration (NNSA); US Department of the Navy, Office of Naval Research (ONR); USDOE Laboratory Directed Research and Development (LDRD) Program

OSTI Identifier:: 1390321

Alternate Identifier(s):: OSTI ID: 1390398

Report Number(s):: DOE/NV/25946-3183
Journal ID: ISSN 0021-8979

Grant/Contract Number:: AC52-06NA25396; AC52-06NA25946; N00014-16-1-2090; N00014-15-1-2694.; 25946-3183

Resource Type:: Journal Article: Accepted Manuscript

Journal Name:: Journal of Applied Physics

Additional Journal Information:: Journal Volume: 122; Journal Issue: 10; Journal ID: ISSN 0021-8979

Publisher:: American Institute of Physics (AIP)

Country of Publication:: United States

Language:: English

Subject:: 97 MATHEMATICS AND COMPUTING; 47 OTHER INSTRUMENTATION; shock wave; wave propagation; image processing; machine learning; signal processing; polymers; optical imaging; x-ray phase contrast imaging; synchrotrons; photochemistry

Citation Formats


                    Dresselhaus-Cooper, Leora, Howard, Marylesa, Hock, Margaret C., Meehan, B. T., Ramos, Kyle J., Bolme, Cindy A., Sandberg, Richard L., and Nelson, Keith A. Machine learning to analyze images of shocked materials for precise and accurate measurements.  United States: N. p., 2017. 
        Web.  doi:10.1063/1.4998959.

Copy to clipboard


                    Dresselhaus-Cooper, Leora, Howard, Marylesa, Hock, Margaret C., Meehan, B. T., Ramos, Kyle J., Bolme, Cindy A., Sandberg, Richard L., & Nelson, Keith A. Machine learning to analyze images of shocked materials for precise and accurate measurements.  United States.  https://doi.org/10.1063/1.4998959

Copy to clipboard


                    Dresselhaus-Cooper, Leora, Howard, Marylesa, Hock, Margaret C., Meehan, B. T., Ramos, Kyle J., Bolme, Cindy A., Sandberg, Richard L., and Nelson, Keith A. 2017.  
        "Machine learning to analyze images of shocked materials for precise and accurate measurements".  United States.  https://doi.org/10.1063/1.4998959.  https://www.osti.gov/servlets/purl/1390321.

Copy to clipboard


                    
@article{osti_1390321,

  title        = {Machine learning to analyze images of shocked materials for precise and accurate measurements},

  author       = {Dresselhaus-Cooper, Leora and Howard, Marylesa and Hock, Margaret C. and Meehan, B. T. and Ramos, Kyle J. and Bolme, Cindy A. and Sandberg, Richard L. and Nelson, Keith A.},

  abstractNote = {A supervised machine learning algorithm, called locally adaptive discriminant analysis (LADA), has been developed to locate boundaries between identifiable image features that have varying intensities. LADA is an adaptation of image segmentation, which includes techniques that find the positions of image features (classes) using statistical intensity distributions for each class in the image. In order to place a pixel in the proper class, LADA considers the intensity at that pixel and the distribution of intensities in local (nearby) pixels. This paper presents the use of LADA to provide, with statistical uncertainties, the positions and shapes of features within ultrafast images of shock waves. We demonstrate the ability to locate image features including crystals, density changes associated with shock waves, and material jetting caused by shock waves. This algorithm can analyze images that exhibit a wide range of physical phenomena because it does not rely on comparison to a model. LADA enables analysis of images from shock physics with statistical rigor independent of underlying models or simulations.},

  doi          = {10.1063/1.4998959},

  url          = {https://www.osti.gov/biblio/1390321},
  journal      = {Journal of Applied Physics},

  issn         = {0021-8979},

  number       = 10,

  volume       = 122,

  place        = {United States},

  year         = {Thu Sep 14 00:00:00 EDT 2017},

  month        = {Thu Sep 14 00:00:00 EDT 2017}

}

Copy to clipboard

Journal Article:

Free Publicly Available Full Text

Accepted Manuscript (Publisher)

Accepted Manuscript (DOE)

Publisher's Version of Record

https://doi.org/10.1063/1.4998959

Other availability

Search WorldCat to find libraries that may hold this journal

Citation Metrics:

Cited by: 3 works

Citation information provided by
Web of Science

Save / Share:

Export Metadata

Save to My Library

Works referenced in this record:

Ultrasonic hammer produces hot spots in solids
journal, April 2015

You, Sizhu; Chen, Ming-Wei; Dlott, Dana D.
Nature Communications, Vol. 6, Issue 1
https://doi.org/10.1038/ncomms7581

Studying Shocked Material Dynamics with Ultrafast X-rays
journal, August 2015

Sandberg, R. L.; Bolme, C.; Ramos, K.
Microscopy and Microanalysis, Vol. 21, Issue S3
https://doi.org/10.1017/S143192761501003X

Influence of exothermic chemical reactions on laser-induced shock waves
journal, January 2014

Gottfried, Jennifer L.
Phys. Chem. Chem. Phys., Vol. 16, Issue 39
https://doi.org/10.1039/C4CP02903H

Automating shockwave segmentation in low-contrast coherent shadowgraphy
journal, April 2015

Pribošek, Jaka; Gregorčič, Peter; Diaci, Janez
Machine Vision and Applications, Vol. 26, Issue 4
https://doi.org/10.1007/s00138-015-0683-0

Gas gun shock experiments with single-pulse x-ray phase contrast imaging and diffraction at the Advanced Photon Source
journal, July 2012

Luo, S. N.; Jensen, B. J.; Hooks, D. E.
Review of Scientific Instruments, Vol. 83, Issue 7
https://doi.org/10.1063/1.4733704

Scintillation detectors for x-rays
journal, February 2006

Nikl, Martin
Measurement Science and Technology, Vol. 17, Issue 4
https://doi.org/10.1088/0957-0233/17/4/R01

Ultrastructural Characterization of the Lower Motor System in a Mouse Model of Krabbe Disease
journal, December 2016

Cappello, Valentina; Marchetti, Laura; Parlanti, Paola
Scientific Reports, Vol. 6, Issue 1
https://doi.org/10.1038/s41598-016-0001-8

Ultrafast visualization of crystallization and grain growth in shock-compressed SiO2
journal, September 2015

Gleason, A. E.; Bolme, C. A.; Lee, H. J.
Nature Communications, Vol. 6, Issue 1
https://doi.org/10.1038/ncomms9191

In situ investigation of the dynamic response of energetic materials using IMPULSE at the Advanced Photon Source
journal, May 2014

Ramos, K. J.; Jensen, B. J.; Iverson, A. J.
Journal of Physics: Conference Series, Vol. 500, Issue 14
https://doi.org/10.1088/1742-6596/500/14/142028

Sequentially timed all-optical mapping photography (STAMP)
journal, August 2014

Nakagawa, K.; Iwasaki, A.; Oishi, Y.
Nature Photonics, Vol. 8, Issue 9
https://doi.org/10.1038/nphoton.2014.163

Heterogeneous flow and brittle failure in shock-compressed silicon
journal, October 2013

Smith, R. F.; Bolme, C. A.; Erskine, D. J.
Journal of Applied Physics, Vol. 114, Issue 13
https://doi.org/10.1063/1.4820927

Nanosecond freezing of water under multiple shock wave compression: Optical transmission and imaging measurements
journal, November 2004

Dolan, D. H.; Gupta, Y. M.
The Journal of Chemical Physics, Vol. 121, Issue 18
https://doi.org/10.1063/1.1805499

Microscopy image segmentation tool: Robust image data analysis
journal, March 2014

Valmianski, Ilya; Monton, Carlos; Schuller, Ivan K.
Review of Scientific Instruments, Vol. 85, Issue 3
https://doi.org/10.1063/1.4866687

Feature-Oriented Image Enhancement Using Shock Filters
journal, August 1990

Osher, Stanley; Rudin, Leonid I.
SIAM Journal on Numerical Analysis, Vol. 27, Issue 4
https://doi.org/10.1137/0727053

Imaging Shock Waves in Diamond with Both High Temporal and Spatial Resolution at an XFEL
journal, June 2015

Schropp, Andreas; Hoppe, Robert; Meier, Vivienne
Scientific Reports, Vol. 5, Issue 1
https://doi.org/10.1038/srep11089

Single-shot spatially resolved characterization of laser-induced shock waves in water
journal, July 1998

Noack, Joachim; Vogel, Alfred
Applied Optics, Vol. 37, Issue 19
https://doi.org/10.1364/AO.37.004092

Measurement of shock wave unsteadiness using a high-speed schlieren system and digital image processing
journal, December 2008

Estruch, D.; Lawson, N. J.; MacManus, D. G.
Review of Scientific Instruments, Vol. 79, Issue 12
https://doi.org/10.1063/1.3053361

Least-squares fitting of circles and ellipses
journal, December 1994

Gander, Walter; Golub, Gene H.; Strebel, Rolf
BIT, Vol. 34, Issue 4
https://doi.org/10.1007/BF01934268

Note: An automated image analysis method for high-throughput classification of surface-bound bacterial cell motions
journal, December 2015

Shen, Simon; Syal, Karan; Tao, Nongjian
Review of Scientific Instruments, Vol. 86, Issue 12
https://doi.org/10.1063/1.4937479

Stability of converging cylindrical shock waves
journal, June 1991

Watanabe, M.; Takayama, K.
Shock Waves, Vol. 1, Issue 2
https://doi.org/10.1007/BF01414910

Shock capturing, level sets, and PDE based methods in computer vision and image processing: a review of Osher’s contributions
journal, March 2003

Fedkiw, Ronald P.; Sapiro, Guillermo; Shu, Chi-Wang
Journal of Computational Physics, Vol. 185, Issue 2
https://doi.org/10.1016/S0021-9991(02)00016-5

Laser-induced versus shock wave induced transformation of highly ordered pyrolytic graphite
journal, April 2015

Veysset, D.; Pezeril, T.; Kooi, S.
Applied Physics Letters, Vol. 106, Issue 16
https://doi.org/10.1063/1.4918929

Detection algorithms for hyperspectral imaging applications
journal, January 2002

Manolakis, D.; Shaw, G.
IEEE Signal Processing Magazine, Vol. 19, Issue 1
https://doi.org/10.1109/79.974724

On-axis time-resolved spatial characterization of shock-induced refractive fringes in liquid water
journal, January 2013

Sitalakshmi, B.; Vudayagiri, Ashoka; Sreedhar, Sunku
Journal of the Optical Society of America B, Vol. 30, Issue 8
https://doi.org/10.1364/JOSAB.30.002206

Femtosecond laser-induced breakdown in water: time-resolved shadow imaging and two-color interferometric imaging
journal, April 2000

Abraham, E.; Minoshima, K.; Matsumoto, H.
Optics Communications, Vol. 176, Issue 4-6
https://doi.org/10.1016/S0030-4018(00)00547-2

Evolution, Implementation, and Application of Level Set and Fast Marching Methods for Advancing Fronts
journal, May 2001

Sethian, J. A.
Journal of Computational Physics, Vol. 169, Issue 2
https://doi.org/10.1006/jcph.2000.6657

Simulations of in situ x-ray diffraction from uniaxially compressed highly textured polycrystalline targets
journal, August 2015

McGonegle, David; Milathianaki, Despina; Remington, Bruce A.
Journal of Applied Physics, Vol. 118, Issue 6
https://doi.org/10.1063/1.4927275

The Production and Stability of Converging Shock Waves
journal, July 1951

Perry, Robert W.; Kantrowitz, Arthur
Journal of Applied Physics, Vol. 22, Issue 7
https://doi.org/10.1063/1.1700067

Direct Visualization of Laser-Driven Focusing Shock Waves
journal, May 2011

Pezeril, T.; Saini, G.; Veysset, D.
Physical Review Letters, Vol. 106, Issue 21
https://doi.org/10.1103/PhysRevLett.106.214503

Works referencing / citing this record:

Single-Shot Multi-Frame Imaging of Cylindrical Shock Waves in a Multi-Layered Assembly
journal, March 2019

Dresselhaus-Cooper, Leora; Gorfain, Joshua E.; Key, Chris T.
Scientific Reports, Vol. 9, Issue 1
https://doi.org/10.1038/s41598-019-40037-3

Similar records in OSTI.GOV collections:

A Locally Adapting Technique for Edge Detection using Image Segmentation

Journal Article Howard, Marylesa; Hock, Margaret; Meehan, B.; ... - SIAM Journal on Scientific Computing

Rapid growth in the field of quantitative digital image analysis is paving the way for scientific researchers to make precise measurements about objects in an image. To compute quantities from an image such as the density of compressed materials or the velocity of a shockwave, object boundaries must first be determined. Images containing regions that each have a spatial trend in intensity are of particular interest here. For edge detection, we present a supervised, statistical image segmentation method that incorporates spatial information to locate boundaries between regions with overlapping intensity histograms, specifically for images where the regions are known butmore »« less
Cited by 8
https://doi.org/10.1137/17M1155363

Full Text Available
A Locally Adaptive Method for Boundary Detection

Conference Hock, Margaret; Howard, Marylesa; Meehan, B.; ...

Edge detection techniques predict boundaries between objects or regions in an image. Many classical methods rely on sharp changes in luminance, chromaticity, or texture, and images without these features are difficult to partition correctly. We present a supervised boundary detection method named Locally Adaptive Discriminant Analysis (LADA) that finds edges in images containing high noise and gradual changes between classes. The user trains the algorithm by providing locations of known materials within the image, but no assumptions are made on the material geometries in the image. The algorithm then uses statistics of anisotropic local data to place each pixel inmore »« less
Full Text Available
Single-Shot Multi-Frame Imaging of Cylindrical Shock Waves in a Multi-Layered Assembly

Journal Article Dresselhaus-Cooper, Leora; Gorfain, Joshua; Key, Chris; ... - Scientific Reports

We demonstrate single-shot multi-frame imaging of quasi-2D cylindrically converging shock waves as they propagate through a multi-layer target sample assembly. We visualize the shock with sequences of up to 16 images, using a Fabry-Perot cavity to generate a pulse train that can be used in various imaging configurations. We employ multi-frame shadowgraph and dark-field imaging to measure the amplitude and phase of the light transmitted through the shocked target. Single-shot multi-frame imaging tracks geometric distortion and additional features in our images that were not previously resolvable in this experimental geometry. Analysis of our images, in combination with simulations, shows thatmore »« less
Cited by 7
https://doi.org/10.1038/s41598-019-40037-3
FY21 Progress Report: SRNL Analysis of ICCWR LCM and WAMS data for Corrosion and Cracking

Technical Report Hardy, Bruce; d’Entremont, Anna; Bakos, Jason; ...

The development of algorithms for machine learning and data analysis for the 3013 Surveillance Program is a collaborative effort by the Savannah River National Laboratory (SRNL) and the University of South Carolina (USC). For corrosion detection, Laser Confocal Microscope (LCM) or Wide Area 3D Measurement System (WAMS) data is extracted from large binary files, with software written to convert the data to physical attributes (e.g., height, color and grayscale values; all as functions of a location in a plane projection). A user-friendly Matlab Graphical User Interface (GUI) that reads data from either LCM or WAMS files was developed to integratemore »« less
https://doi.org/10.2172/1842938

Full Text Available
A completely automated CAD system for mass detection in a large mammographic database

Journal Article Bellotti, R; De Carlo, F; Tangaro, S - Medical Physics

Mass localization plays a crucial role in computer-aided detection (CAD) systems for the classification of suspicious regions in mammograms. In this article we present a completely automated classification system for the detection of masses in digitized mammographic images. The tool system we discuss consists in three processing levels: (a) Image segmentation for the localization of regions of interest (ROIs). This step relies on an iterative dynamical threshold algorithm able to select iso-intensity closed contours around gray level maxima of the mammogram. (b) ROI characterization by means of textural features computed from the gray tone spatial dependence matrix (GTSDM), containing second-ordermore »« less
https://doi.org/10.1118/1.2214177

Similar Records

Title: Machine learning to analyze images of shocked materials for precise and accurate measurements

Abstract

Citation Formats

Ultrasonic hammer produces hot spots in solids journal, April 2015

Studying Shocked Material Dynamics with Ultrafast X-rays journal, August 2015

Influence of exothermic chemical reactions on laser-induced shock waves journal, January 2014

Automating shockwave segmentation in low-contrast coherent shadowgraphy journal, April 2015

Gas gun shock experiments with single-pulse x-ray phase contrast imaging and diffraction at the Advanced Photon Source journal, July 2012

Scintillation detectors for x-rays journal, February 2006

Ultrastructural Characterization of the Lower Motor System in a Mouse Model of Krabbe Disease journal, December 2016

Ultrafast visualization of crystallization and grain growth in shock-compressed SiO2 journal, September 2015

In situ investigation of the dynamic response of energetic materials using IMPULSE at the Advanced Photon Source journal, May 2014

Sequentially timed all-optical mapping photography (STAMP) journal, August 2014

Heterogeneous flow and brittle failure in shock-compressed silicon journal, October 2013

Nanosecond freezing of water under multiple shock wave compression: Optical transmission and imaging measurements journal, November 2004

Microscopy image segmentation tool: Robust image data analysis journal, March 2014

Feature-Oriented Image Enhancement Using Shock Filters journal, August 1990

Imaging Shock Waves in Diamond with Both High Temporal and Spatial Resolution at an XFEL journal, June 2015

Single-shot spatially resolved characterization of laser-induced shock waves in water journal, July 1998

Measurement of shock wave unsteadiness using a high-speed schlieren system and digital image processing journal, December 2008

Least-squares fitting of circles and ellipses journal, December 1994

Note: An automated image analysis method for high-throughput classification of surface-bound bacterial cell motions journal, December 2015

Stability of converging cylindrical shock waves journal, June 1991

Shock capturing, level sets, and PDE based methods in computer vision and image processing: a review of Osher’s contributions journal, March 2003

Laser-induced versus shock wave induced transformation of highly ordered pyrolytic graphite journal, April 2015

Detection algorithms for hyperspectral imaging applications journal, January 2002

On-axis time-resolved spatial characterization of shock-induced refractive fringes in liquid water journal, January 2013

Femtosecond laser-induced breakdown in water: time-resolved shadow imaging and two-color interferometric imaging journal, April 2000

Evolution, Implementation, and Application of Level Set and Fast Marching Methods for Advancing Fronts journal, May 2001

Simulations of in situ x-ray diffraction from uniaxially compressed highly textured polycrystalline targets journal, August 2015

The Production and Stability of Converging Shock Waves journal, July 1951

Direct Visualization of Laser-Driven Focusing Shock Waves journal, May 2011

Single-Shot Multi-Frame Imaging of Cylindrical Shock Waves in a Multi-Layered Assembly journal, March 2019

Ultrasonic hammer produces hot spots in solids
journal, April 2015

Studying Shocked Material Dynamics with Ultrafast X-rays
journal, August 2015

Influence of exothermic chemical reactions on laser-induced shock waves
journal, January 2014

Automating shockwave segmentation in low-contrast coherent shadowgraphy
journal, April 2015

Gas gun shock experiments with single-pulse x-ray phase contrast imaging and diffraction at the Advanced Photon Source
journal, July 2012

Scintillation detectors for x-rays
journal, February 2006

Ultrastructural Characterization of the Lower Motor System in a Mouse Model of Krabbe Disease
journal, December 2016

Ultrafast visualization of crystallization and grain growth in shock-compressed SiO2
journal, September 2015

In situ investigation of the dynamic response of energetic materials using IMPULSE at the Advanced Photon Source
journal, May 2014

Sequentially timed all-optical mapping photography (STAMP)
journal, August 2014

Heterogeneous flow and brittle failure in shock-compressed silicon
journal, October 2013

Nanosecond freezing of water under multiple shock wave compression: Optical transmission and imaging measurements
journal, November 2004

Microscopy image segmentation tool: Robust image data analysis
journal, March 2014

Feature-Oriented Image Enhancement Using Shock Filters
journal, August 1990

Imaging Shock Waves in Diamond with Both High Temporal and Spatial Resolution at an XFEL
journal, June 2015

Single-shot spatially resolved characterization of laser-induced shock waves in water
journal, July 1998

Measurement of shock wave unsteadiness using a high-speed schlieren system and digital image processing
journal, December 2008

Least-squares fitting of circles and ellipses
journal, December 1994

Note: An automated image analysis method for high-throughput classification of surface-bound bacterial cell motions
journal, December 2015

Stability of converging cylindrical shock waves
journal, June 1991

Shock capturing, level sets, and PDE based methods in computer vision and image processing: a review of Osher’s contributions
journal, March 2003

Laser-induced versus shock wave induced transformation of highly ordered pyrolytic graphite
journal, April 2015

Detection algorithms for hyperspectral imaging applications
journal, January 2002

On-axis time-resolved spatial characterization of shock-induced refractive fringes in liquid water
journal, January 2013

Femtosecond laser-induced breakdown in water: time-resolved shadow imaging and two-color interferometric imaging
journal, April 2000

Evolution, Implementation, and Application of Level Set and Fast Marching Methods for Advancing Fronts
journal, May 2001

Simulations of in situ x-ray diffraction from uniaxially compressed highly textured polycrystalline targets
journal, August 2015

The Production and Stability of Converging Shock Waves
journal, July 1951

Direct Visualization of Laser-Driven Focusing Shock Waves
journal, May 2011

Single-Shot Multi-Frame Imaging of Cylindrical Shock Waves in a Multi-Layered Assembly
journal, March 2019