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

Journal Article · Thu Sep 14 00:00:00 EDT 2017 · Journal of Applied Physics

DOI:https://doi.org/10.1063/1.4998959· OSTI ID:1390321

^[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)

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.

View Accepted Manuscript (DOE)

View Accepted Manuscript (Publisher)

Cite

Export

Save

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

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

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

OSTI ID:: 1390321

Alternate ID(s):: OSTI ID: 1390398

Report Number(s):: DOE/NV/25946-3183

Journal Information:: Journal of Applied Physics, Vol. 122, Issue 10; ISSN 0021-8979

Publisher:: American Institute of Physics (AIP)Copyright Statement

Country of Publication:: United States

Language:: English

Citation Metrics:

Cited by: 3 works

Citation information provided by
Web of Science

References (29)

Ultrasonic hammer produces hot spots in solids You, Sizhu; Chen, Ming-Wei; Dlott, Dana D. Nature Communications, Vol. 6, Issue 1 https://doi.org/10.1038/ncomms7581	journal	April 2015
Studying Shocked Material Dynamics with Ultrafast X-rays Sandberg, R. L.; Bolme, C.; Ramos, K. Microscopy and Microanalysis, Vol. 21, Issue S3 https://doi.org/10.1017/S143192761501003X	journal	August 2015
Influence of exothermic chemical reactions on laser-induced shock waves Gottfried, Jennifer L. Phys. Chem. Chem. Phys., Vol. 16, Issue 39 https://doi.org/10.1039/C4CP02903H	journal	January 2014
Automating shockwave segmentation in low-contrast coherent shadowgraphy Pribošek, Jaka; Gregorčič, Peter; Diaci, Janez Machine Vision and Applications, Vol. 26, Issue 4 https://doi.org/10.1007/s00138-015-0683-0	journal	April 2015
Gas gun shock experiments with single-pulse x-ray phase contrast imaging and diffraction at the Advanced Photon Source Luo, S. N.; Jensen, B. J.; Hooks, D. E. Review of Scientific Instruments, Vol. 83, Issue 7 https://doi.org/10.1063/1.4733704	journal	July 2012
Scintillation detectors for x-rays Nikl, Martin Measurement Science and Technology, Vol. 17, Issue 4 https://doi.org/10.1088/0957-0233/17/4/R01	journal	February 2006
Ultrastructural Characterization of the Lower Motor System in a Mouse Model of Krabbe Disease Cappello, Valentina; Marchetti, Laura; Parlanti, Paola Scientific Reports, Vol. 6, Issue 1 https://doi.org/10.1038/s41598-016-0001-8	journal	December 2016
Ultrafast visualization of crystallization and grain growth in shock-compressed SiO2 Gleason, A. E.; Bolme, C. A.; Lee, H. J. Nature Communications, Vol. 6, Issue 1 https://doi.org/10.1038/ncomms9191	journal	September 2015
In situ investigation of the dynamic response of energetic materials using IMPULSE at the Advanced Photon Source 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	journal	May 2014
Sequentially timed all-optical mapping photography (STAMP) Nakagawa, K.; Iwasaki, A.; Oishi, Y. Nature Photonics, Vol. 8, Issue 9 https://doi.org/10.1038/nphoton.2014.163	journal	August 2014
Heterogeneous flow and brittle failure in shock-compressed silicon Smith, R. F.; Bolme, C. A.; Erskine, D. J. Journal of Applied Physics, Vol. 114, Issue 13 https://doi.org/10.1063/1.4820927	journal	October 2013
Nanosecond freezing of water under multiple shock wave compression: Optical transmission and imaging measurements Dolan, D. H.; Gupta, Y. M. The Journal of Chemical Physics, Vol. 121, Issue 18 https://doi.org/10.1063/1.1805499	journal	November 2004
Microscopy image segmentation tool: Robust image data analysis Valmianski, Ilya; Monton, Carlos; Schuller, Ivan K. Review of Scientific Instruments, Vol. 85, Issue 3 https://doi.org/10.1063/1.4866687	journal	March 2014
Feature-Oriented Image Enhancement Using Shock Filters Osher, Stanley; Rudin, Leonid I. SIAM Journal on Numerical Analysis, Vol. 27, Issue 4 https://doi.org/10.1137/0727053	journal	August 1990
Imaging Shock Waves in Diamond with Both High Temporal and Spatial Resolution at an XFEL Schropp, Andreas; Hoppe, Robert; Meier, Vivienne Scientific Reports, Vol. 5, Issue 1 https://doi.org/10.1038/srep11089	journal	June 2015
Single-shot spatially resolved characterization of laser-induced shock waves in water Noack, Joachim; Vogel, Alfred Applied Optics, Vol. 37, Issue 19 https://doi.org/10.1364/AO.37.004092	journal	July 1998
Measurement of shock wave unsteadiness using a high-speed schlieren system and digital image processing Estruch, D.; Lawson, N. J.; MacManus, D. G. Review of Scientific Instruments, Vol. 79, Issue 12 https://doi.org/10.1063/1.3053361	journal	December 2008
Least-squares fitting of circles and ellipses Gander, Walter; Golub, Gene H.; Strebel, Rolf BIT, Vol. 34, Issue 4 https://doi.org/10.1007/BF01934268	journal	December 1994
Note: An automated image analysis method for high-throughput classification of surface-bound bacterial cell motions Shen, Simon; Syal, Karan; Tao, Nongjian Review of Scientific Instruments, Vol. 86, Issue 12 https://doi.org/10.1063/1.4937479	journal	December 2015
Stability of converging cylindrical shock waves Watanabe, M.; Takayama, K. Shock Waves, Vol. 1, Issue 2 https://doi.org/10.1007/BF01414910	journal	June 1991
Shock capturing, level sets, and PDE based methods in computer vision and image processing: a review of Osher’s contributions 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	journal	March 2003
Laser-induced versus shock wave induced transformation of highly ordered pyrolytic graphite Veysset, D.; Pezeril, T.; Kooi, S. Applied Physics Letters, Vol. 106, Issue 16 https://doi.org/10.1063/1.4918929	journal	April 2015
Detection algorithms for hyperspectral imaging applications Manolakis, D.; Shaw, G. IEEE Signal Processing Magazine, Vol. 19, Issue 1 https://doi.org/10.1109/79.974724	journal	January 2002
On-axis time-resolved spatial characterization of shock-induced refractive fringes in liquid water 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	journal	January 2013
Femtosecond laser-induced breakdown in water: time-resolved shadow imaging and two-color interferometric imaging Abraham, E.; Minoshima, K.; Matsumoto, H. Optics Communications, Vol. 176, Issue 4-6 https://doi.org/10.1016/S0030-4018(00)00547-2	journal	April 2000
Evolution, Implementation, and Application of Level Set and Fast Marching Methods for Advancing Fronts Sethian, J. A. Journal of Computational Physics, Vol. 169, Issue 2 https://doi.org/10.1006/jcph.2000.6657	journal	May 2001
Simulations of in situ x-ray diffraction from uniaxially compressed highly textured polycrystalline targets McGonegle, David; Milathianaki, Despina; Remington, Bruce A. Journal of Applied Physics, Vol. 118, Issue 6 https://doi.org/10.1063/1.4927275	journal	August 2015
The Production and Stability of Converging Shock Waves Perry, Robert W.; Kantrowitz, Arthur Journal of Applied Physics, Vol. 22, Issue 7 https://doi.org/10.1063/1.1700067	journal	July 1951
Direct Visualization of Laser-Driven Focusing Shock Waves Pezeril, T.; Saini, G.; Veysset, D. Physical Review Letters, Vol. 106, Issue 21 https://doi.org/10.1103/PhysRevLett.106.214503	journal	May 2011

Cited By (1)

Single-Shot Multi-Frame Imaging of Cylindrical Shock Waves in a Multi-Layered Assembly Dresselhaus-Cooper, Leora; Gorfain, Joshua E.; Key, Chris T. Scientific Reports, Vol. 9, Issue 1 https://doi.org/10.1038/s41598-019-40037-3	journal	March 2019

Similar Records

A Locally Adapting Technique for Edge Detection using Image Segmentation

Journal Article · Mon Jan 01 00:00:00 EST 2018 · SIAM Journal on Scientific Computing · OSTI ID:1390321

Howard, Marylesa; Hock, Margaret C.; Meehan, B. T.; +1 more

A Locally Adaptive Method for Boundary Detection

Conference · Wed Mar 07 00:00:00 EST 2018 · OSTI ID:1390321

Hock, Margaret; Howard, Marylesa; Meehan, B. Timothy; +1 more

Single-Shot Multi-Frame Imaging of Cylindrical Shock Waves in a Multi-Layered Assembly

Journal Article · Wed Mar 06 00:00:00 EST 2019 · Scientific Reports · OSTI ID:1390321

Dresselhaus-Cooper, Leora; Gorfain, Joshua E.; Key, Chris T.; +6 more

Related Subjects

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

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

Citation Formats

References (29)

Cited By (1)

Similar Records

Related Subjects