Contour Analysis Tool: an interactive tool for background and morphology analysis
We introduce the Contour Analysis Tool (CAT), a Python toolkit aimed at identifying and analyzing structural elements in density maps. CAT employs various contouring techniques, including the lowest-closed contour (LCC), linear and logarithmic Otsu thresholding, and average gradient thresholding. Th...
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creator | Hutchison, Mark A Koepferl, Christine M |
description | We introduce the Contour Analysis Tool (CAT), a Python toolkit aimed at
identifying and analyzing structural elements in density maps. CAT employs
various contouring techniques, including the lowest-closed contour (LCC),
linear and logarithmic Otsu thresholding, and average gradient thresholding.
These contours can aid in foreground and background segmentation, providing
natural limits for both, as well as edge detection and structure
identification. Additionally, CAT provides image processing methods such as
smoothing, background removal, and image masking. The toolkit features an
interactive suite of controls designed for Jupyter environments, enabling users
to promptly visualize the effects of different methods and parameters. We
describe, test, and demonstrate the performance of CAT, highlighting its
potential use cases. CAT is publicly available on GitHub, promoting
accessibility and collaboration. |
doi_str_mv | 10.48550/arxiv.2409.06421 |
format | Article |
fullrecord | <record><control><sourceid>arxiv_GOX</sourceid><recordid>TN_cdi_arxiv_primary_2409_06421</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2409_06421</sourcerecordid><originalsourceid>FETCH-arxiv_primary_2409_064213</originalsourceid><addsrcrecordid>eNpjYJA0NNAzsTA1NdBPLKrILNMzMjGw1DMwMzEy5GQIdM7PK8kvLVJwzEvMqSzOLFYIyc_PsVJIzFPIzCtJLUpMLsksS1UoAQoqpOUXKSQlJmenF-WX5qUAlaQo5OYXFWTk5-SnVwK5EAN4GFjTEnOKU3mhNDeDvJtriLOHLtjy-IKizNzEosp4kCPiwY4wJqwCAH_OPZg</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Contour Analysis Tool: an interactive tool for background and morphology analysis</title><source>arXiv.org</source><creator>Hutchison, Mark A ; Koepferl, Christine M</creator><creatorcontrib>Hutchison, Mark A ; Koepferl, Christine M</creatorcontrib><description>We introduce the Contour Analysis Tool (CAT), a Python toolkit aimed at
identifying and analyzing structural elements in density maps. CAT employs
various contouring techniques, including the lowest-closed contour (LCC),
linear and logarithmic Otsu thresholding, and average gradient thresholding.
These contours can aid in foreground and background segmentation, providing
natural limits for both, as well as edge detection and structure
identification. Additionally, CAT provides image processing methods such as
smoothing, background removal, and image masking. The toolkit features an
interactive suite of controls designed for Jupyter environments, enabling users
to promptly visualize the effects of different methods and parameters. We
describe, test, and demonstrate the performance of CAT, highlighting its
potential use cases. CAT is publicly available on GitHub, promoting
accessibility and collaboration.</description><identifier>DOI: 10.48550/arxiv.2409.06421</identifier><language>eng</language><subject>Physics - Astrophysics of Galaxies ; Physics - Earth and Planetary Astrophysics ; Physics - Instrumentation and Methods for Astrophysics ; Physics - Solar and Stellar Astrophysics</subject><creationdate>2024-09</creationdate><rights>http://arxiv.org/licenses/nonexclusive-distrib/1.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,777,882</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/2409.06421$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.3847/1538-4357/ad779f$$DView published paper (Access to full text may be restricted)$$Hfree_for_read</backlink><backlink>$$Uhttps://doi.org/10.48550/arXiv.2409.06421$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Hutchison, Mark A</creatorcontrib><creatorcontrib>Koepferl, Christine M</creatorcontrib><title>Contour Analysis Tool: an interactive tool for background and morphology analysis</title><description>We introduce the Contour Analysis Tool (CAT), a Python toolkit aimed at
identifying and analyzing structural elements in density maps. CAT employs
various contouring techniques, including the lowest-closed contour (LCC),
linear and logarithmic Otsu thresholding, and average gradient thresholding.
These contours can aid in foreground and background segmentation, providing
natural limits for both, as well as edge detection and structure
identification. Additionally, CAT provides image processing methods such as
smoothing, background removal, and image masking. The toolkit features an
interactive suite of controls designed for Jupyter environments, enabling users
to promptly visualize the effects of different methods and parameters. We
describe, test, and demonstrate the performance of CAT, highlighting its
potential use cases. CAT is publicly available on GitHub, promoting
accessibility and collaboration.</description><subject>Physics - Astrophysics of Galaxies</subject><subject>Physics - Earth and Planetary Astrophysics</subject><subject>Physics - Instrumentation and Methods for Astrophysics</subject><subject>Physics - Solar and Stellar Astrophysics</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNpjYJA0NNAzsTA1NdBPLKrILNMzMjGw1DMwMzEy5GQIdM7PK8kvLVJwzEvMqSzOLFYIyc_PsVJIzFPIzCtJLUpMLsksS1UoAQoqpOUXKSQlJmenF-WX5qUAlaQo5OYXFWTk5-SnVwK5EAN4GFjTEnOKU3mhNDeDvJtriLOHLtjy-IKizNzEosp4kCPiwY4wJqwCAH_OPZg</recordid><startdate>20240910</startdate><enddate>20240910</enddate><creator>Hutchison, Mark A</creator><creator>Koepferl, Christine M</creator><scope>GOX</scope></search><sort><creationdate>20240910</creationdate><title>Contour Analysis Tool: an interactive tool for background and morphology analysis</title><author>Hutchison, Mark A ; Koepferl, Christine M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-arxiv_primary_2409_064213</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Physics - Astrophysics of Galaxies</topic><topic>Physics - Earth and Planetary Astrophysics</topic><topic>Physics - Instrumentation and Methods for Astrophysics</topic><topic>Physics - Solar and Stellar Astrophysics</topic><toplevel>online_resources</toplevel><creatorcontrib>Hutchison, Mark A</creatorcontrib><creatorcontrib>Koepferl, Christine M</creatorcontrib><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Hutchison, Mark A</au><au>Koepferl, Christine M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Contour Analysis Tool: an interactive tool for background and morphology analysis</atitle><date>2024-09-10</date><risdate>2024</risdate><abstract>We introduce the Contour Analysis Tool (CAT), a Python toolkit aimed at
identifying and analyzing structural elements in density maps. CAT employs
various contouring techniques, including the lowest-closed contour (LCC),
linear and logarithmic Otsu thresholding, and average gradient thresholding.
These contours can aid in foreground and background segmentation, providing
natural limits for both, as well as edge detection and structure
identification. Additionally, CAT provides image processing methods such as
smoothing, background removal, and image masking. The toolkit features an
interactive suite of controls designed for Jupyter environments, enabling users
to promptly visualize the effects of different methods and parameters. We
describe, test, and demonstrate the performance of CAT, highlighting its
potential use cases. CAT is publicly available on GitHub, promoting
accessibility and collaboration.</abstract><doi>10.48550/arxiv.2409.06421</doi><oa>free_for_read</oa></addata></record> |
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subjects | Physics - Astrophysics of Galaxies Physics - Earth and Planetary Astrophysics Physics - Instrumentation and Methods for Astrophysics Physics - Solar and Stellar Astrophysics |
title | Contour Analysis Tool: an interactive tool for background and morphology analysis |
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