Image processing tool for automatic feature recognition and quantification
Abstract
A system for defining structures within an image is described. The system includes reading of an input file, preprocessing the input file while preserving metadata such as scale information and then detecting features of the input file. In one version the detection first uses an edge detector followed by identification of features using a Hough transform. The output of the process is identified elements within the image.
- Inventors:
- Issue Date:
- Research Org.:
- Argonne National Lab. (ANL), Argonne, IL (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1354796
- Patent Number(s):
- 9639926
- Application Number:
- 15/263,626
- Assignee:
- UChicago Argonne, LLC
- Patent Classifications (CPCs):
-
G - PHYSICS G06 - COMPUTING G06T - IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
G - PHYSICS G01 - MEASURING G01N - INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- DOE Contract Number:
- AC02-06CH11357
- Resource Type:
- Patent
- Resource Relation:
- Patent File Date: 2016 Sep 13
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 99 GENERAL AND MISCELLANEOUS; 36 MATERIALS SCIENCE
Citation Formats
Chen, Xing, and Stoddard, Ryan J. Image processing tool for automatic feature recognition and quantification. United States: N. p., 2017.
Web.
Chen, Xing, & Stoddard, Ryan J. Image processing tool for automatic feature recognition and quantification. United States.
Chen, Xing, and Stoddard, Ryan J. Tue .
"Image processing tool for automatic feature recognition and quantification". United States. https://www.osti.gov/servlets/purl/1354796.
@article{osti_1354796,
title = {Image processing tool for automatic feature recognition and quantification},
author = {Chen, Xing and Stoddard, Ryan J.},
abstractNote = {A system for defining structures within an image is described. The system includes reading of an input file, preprocessing the input file while preserving metadata such as scale information and then detecting features of the input file. In one version the detection first uses an edge detector followed by identification of features using a Hough transform. The output of the process is identified elements within the image.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2017},
month = {5}
}
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