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Title: Image Statistics

Abstract

In large datasets, it is time consuming or even impossible to pick out interesting images. Our proposed solution is to find statistics to quantify the information in each image and use those to identify and pick out images of interest.

Authors:
 [1]
  1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Publication Date:
Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1374311
Report Number(s):
LA-UR-17-27109
DOE Contract Number:  
AC52-06NA25396
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING

Citation Formats

Wendelberger, Laura Jean. Image Statistics. United States: N. p., 2017. Web. doi:10.2172/1374311.
Wendelberger, Laura Jean. Image Statistics. United States. doi:10.2172/1374311.
Wendelberger, Laura Jean. Tue . "Image Statistics". United States. doi:10.2172/1374311. https://www.osti.gov/servlets/purl/1374311.
@article{osti_1374311,
title = {Image Statistics},
author = {Wendelberger, Laura Jean},
abstractNote = {In large datasets, it is time consuming or even impossible to pick out interesting images. Our proposed solution is to find statistics to quantify the information in each image and use those to identify and pick out images of interest.},
doi = {10.2172/1374311},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Aug 08 00:00:00 EDT 2017},
month = {Tue Aug 08 00:00:00 EDT 2017}
}

Technical Report:

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