Analysis of Images from Experiments Investigating Fragmentation of Materials Metadata
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Title
- Main Title Analysis of Images from Experiments Investigating Fragmentation of Materials
Creator
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Author: Kamath, CCreator Type: Personal
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Author: Hurricane, OCreator Type: Personal
Contributor
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Sponsor: United States. Department of Energy.Contributor Type: Organization
Publisher
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Name: Lawrence Livermore National LaboratoryPlace of Publication: Livermore, CaliforniaAdditional Info: Lawrence Livermore National Laboratory (LLNL), Livermore, CA
Date
- Creation: 2007-09-10
Language
- English
Description
- Content Description: Image processing techniques have been used extensively to identify objects of interest in image data and extract representative characteristics for these objects. However, this can be a challenge due to the presence of noise in the images and the variation across images in a dataset. When the number of images to be analyzed is large, the algorithms used must also be relatively insensitive to the choice of parameters and lend themselves to partial or full automation. This not only avoids manual analysis which can be time consuming and error-prone, but also makes the analysis reproducible, thus enabling comparisons between images which have been processed in an identical manner. In this paper, we describe our approach to extracting features for objects of interest in experimental images. Focusing on the specific problem of fragmentation of materials, we show how we can extract statistics for the fragments and the gaps between them.
- Physical Description: PDF-file: 29 pages; size: 2.9 Mbytes
Subject
- Keyword: Fragmentation
- Keyword: Statistics
- STI Subject Categories: 99 General And Miscellaneous//Mathematics, Computing, And Information Science
- Keyword: Automation
- STI Subject Categories: 71 Classical And Quantumm Mechanics, General Physics
- Keyword: Algorithms
- Keyword: Focusing
- Keyword: Image Processing
Collection
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Name: Office of Scientific & Technical Information Technical ReportsCode: OSTI
Institution
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Name: UNT Libraries Government Documents DepartmentCode: UNTGD
Resource Type
- Report
Format
- Text
Identifier
- Report No.: UCRL-TR-234578
- Grant Number: W-7405-ENG-48
- DOI: 10.2172/925668
- Office of Scientific & Technical Information Report Number: 925668
- Archival Resource Key: ark:/67531/metadc898472