skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Fast Detection of Material Deformation through Structural Dissimilarity

Abstract

Designing materials that are resistant to extreme temperatures and brittleness relies on assessing structural dynamics of samples. Algorithms are critically important to characterize material deformation under stress conditions. Here, we report on our design of coarse-grain parallel algorithms for image quality assessment based on structural information and on crack detection of gigabyte-scale experimental datasets. We show how key steps can be decomposed into distinct processing flows, one based on structural similarity (SSIM) quality measure, and another on spectral content. These algorithms act upon image blocks that fit into memory, and can execute independently. We discuss the scientific relevance of the problem, key developments, and decomposition of complementary tasks into separate executions. We show how to apply SSIM to detect material degradation, and illustrate how this metric can be allied to spectral analysis for structure probing, while using tiled multi-resolution pyramids stored in HDF5 chunked multi-dimensional arrays. Results show that the proposed experimental data representation supports an average compression rate of 10X, and data compression scales linearly with the data size. We also illustrate how to correlate SSIM to crack formation, and how to use our numerical schemes to enable fast detection of deformation from 3D datasets evolving in time.

Authors:
; ;
Publication Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
Advanced Light Source Division, Computational Research Division
OSTI Identifier:
1235085
Report Number(s):
LBNL-1003925
ir:1003925
Resource Type:
Conference
Country of Publication:
United States
Language:
English

Citation Formats

Ushizima, Daniela, Perciano, Talita, and Parkinson, Dilworth. Fast Detection of Material Deformation through Structural Dissimilarity. United States: N. p., 2015. Web.
Ushizima, Daniela, Perciano, Talita, & Parkinson, Dilworth. Fast Detection of Material Deformation through Structural Dissimilarity. United States.
Ushizima, Daniela, Perciano, Talita, and Parkinson, Dilworth. 2015. "Fast Detection of Material Deformation through Structural Dissimilarity". United States. https://www.osti.gov/servlets/purl/1235085.
@article{osti_1235085,
title = {Fast Detection of Material Deformation through Structural Dissimilarity},
author = {Ushizima, Daniela and Perciano, Talita and Parkinson, Dilworth},
abstractNote = {Designing materials that are resistant to extreme temperatures and brittleness relies on assessing structural dynamics of samples. Algorithms are critically important to characterize material deformation under stress conditions. Here, we report on our design of coarse-grain parallel algorithms for image quality assessment based on structural information and on crack detection of gigabyte-scale experimental datasets. We show how key steps can be decomposed into distinct processing flows, one based on structural similarity (SSIM) quality measure, and another on spectral content. These algorithms act upon image blocks that fit into memory, and can execute independently. We discuss the scientific relevance of the problem, key developments, and decomposition of complementary tasks into separate executions. We show how to apply SSIM to detect material degradation, and illustrate how this metric can be allied to spectral analysis for structure probing, while using tiled multi-resolution pyramids stored in HDF5 chunked multi-dimensional arrays. Results show that the proposed experimental data representation supports an average compression rate of 10X, and data compression scales linearly with the data size. We also illustrate how to correlate SSIM to crack formation, and how to use our numerical schemes to enable fast detection of deformation from 3D datasets evolving in time.},
doi = {},
url = {https://www.osti.gov/biblio/1235085}, journal = {},
number = ,
volume = ,
place = {United States},
year = {2015},
month = {10}
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

Save / Share: