Loading…

WingSegment: A Computer Vision‐Based Hybrid Approach for Insect Wing Image Segmentation and 3D Printing

This article introduces WingSegment, a MATLAB app‐designed tool employing a hybrid approach of computer vision and graph theory for precise insect wing image segmentation. WingSegment detects cells, junctions, Pterostigma, and venation patterns, measuring geometric features and generating Voronoi pa...

Full description

Saved in:
Bibliographic Details
Published in:Advanced intelligent systems 2024-05, Vol.6 (5), p.n/a
Main Authors: Eshghi, Shahab, Rajabi, Hamed, Poser, Johannes, Gorb, Stanislav N.
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c4342-6be0855d903cfc2cc9cc5f3f966dea7bdff6b3fdbc33d9b8a6a575d1e48edb583
cites cdi_FETCH-LOGICAL-c4342-6be0855d903cfc2cc9cc5f3f966dea7bdff6b3fdbc33d9b8a6a575d1e48edb583
container_end_page n/a
container_issue 5
container_start_page
container_title Advanced intelligent systems
container_volume 6
creator Eshghi, Shahab
Rajabi, Hamed
Poser, Johannes
Gorb, Stanislav N.
description This article introduces WingSegment, a MATLAB app‐designed tool employing a hybrid approach of computer vision and graph theory for precise insect wing image segmentation. WingSegment detects cells, junctions, Pterostigma, and venation patterns, measuring geometric features and generating Voronoi patterns. The tool utilizes region‐growing, thinning, and Dijkstra's algorithms for boundary detection, junction identification, and vein path extraction. It provides histograms and box plots of geometric features, facilitating comprehensive wing analysis. WingSegment's efficiency is validated through comparisons with established tools and manual measurements, demonstrating accurate results. The tool further enables exporting detected boundaries as FreeCAD macro files for 3D modeling and printing, supporting finite element analysis. Beyond advancing insect wing morphology understanding, WingSegment holds broader implications for diverse planar structures, including leaves and geocells. This tool not only enhances automated geometric analysis and 3D model generation in insect wing studies but also contributes to the broader advancement of analysis, 3D printing, and modeling technologies across various planar structures. WingSegment is a user‐friendly software for automated morphometry analysis and 3D modeling of insect wings. It integrates computer vision, image processing, and graph theory to segment insect wing images automatically. Subsequently, it provides statistics related to the size and position of wing cells, junctions, and vein patterns, and generates 3D models in the FCMacro format, compatible with FreeCAD.
doi_str_mv 10.1002/aisy.202300712
format article
fullrecord <record><control><sourceid>wiley_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_1c9c23669113406a88bff26aac3e8466</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_1c9c23669113406a88bff26aac3e8466</doaj_id><sourcerecordid>AISY202300712</sourcerecordid><originalsourceid>FETCH-LOGICAL-c4342-6be0855d903cfc2cc9cc5f3f966dea7bdff6b3fdbc33d9b8a6a575d1e48edb583</originalsourceid><addsrcrecordid>eNqFkMtKw0AUhoMoWGq3rucFUueSTBJ3sV4aKCjUC66Gk7nEKU1SZiKSnY_gM_okplaqO1fn5_B_3-IPglOCpwRjegbW91OKKcM4IfQgGFEe4TCKeXL4Jx8HE-9XeABIQjBNRoF9sk211FWtm-4c5WjW1pvXTjv0aL1tm8_3jwvwWqF5XzqrUL7ZuBbkCzKtQ0XjtezQ1oCKGiqNfkTQDSiCRiF2ie6cbbqhchIcGVh7Pfm54-Dh-up-Ng8XtzfFLF-EMmIRDXmpcRrHKsNMGkmlzKSMDTMZ50pDUipjeMmMKiVjKitT4BAnsSI6SrUq45SNg2LnVS2sxMbZGlwvWrDi-9G6SoDrrFxrQQY5ZZxnhLAIc0jT0hjKASTTacT54JruXNK13jtt9j6CxXZ3sd1d7HcfgGwHvNm17v9pi7xYPv-yX1bYiPM</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>WingSegment: A Computer Vision‐Based Hybrid Approach for Insect Wing Image Segmentation and 3D Printing</title><source>Publicly Available Content (ProQuest)</source><source>Wiley Open Access Journals</source><creator>Eshghi, Shahab ; Rajabi, Hamed ; Poser, Johannes ; Gorb, Stanislav N.</creator><creatorcontrib>Eshghi, Shahab ; Rajabi, Hamed ; Poser, Johannes ; Gorb, Stanislav N.</creatorcontrib><description>This article introduces WingSegment, a MATLAB app‐designed tool employing a hybrid approach of computer vision and graph theory for precise insect wing image segmentation. WingSegment detects cells, junctions, Pterostigma, and venation patterns, measuring geometric features and generating Voronoi patterns. The tool utilizes region‐growing, thinning, and Dijkstra's algorithms for boundary detection, junction identification, and vein path extraction. It provides histograms and box plots of geometric features, facilitating comprehensive wing analysis. WingSegment's efficiency is validated through comparisons with established tools and manual measurements, demonstrating accurate results. The tool further enables exporting detected boundaries as FreeCAD macro files for 3D modeling and printing, supporting finite element analysis. Beyond advancing insect wing morphology understanding, WingSegment holds broader implications for diverse planar structures, including leaves and geocells. This tool not only enhances automated geometric analysis and 3D model generation in insect wing studies but also contributes to the broader advancement of analysis, 3D printing, and modeling technologies across various planar structures. WingSegment is a user‐friendly software for automated morphometry analysis and 3D modeling of insect wings. It integrates computer vision, image processing, and graph theory to segment insect wing images automatically. Subsequently, it provides statistics related to the size and position of wing cells, junctions, and vein patterns, and generates 3D models in the FCMacro format, compatible with FreeCAD.</description><identifier>ISSN: 2640-4567</identifier><identifier>EISSN: 2640-4567</identifier><identifier>DOI: 10.1002/aisy.202300712</identifier><language>eng</language><publisher>Wiley</publisher><subject>entomology ; FreeCAD ; maze‐solving ; morphology ; network extraction</subject><ispartof>Advanced intelligent systems, 2024-05, Vol.6 (5), p.n/a</ispartof><rights>2024 The Authors. Advanced Intelligent Systems published by Wiley‐VCH GmbH</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4342-6be0855d903cfc2cc9cc5f3f966dea7bdff6b3fdbc33d9b8a6a575d1e48edb583</citedby><cites>FETCH-LOGICAL-c4342-6be0855d903cfc2cc9cc5f3f966dea7bdff6b3fdbc33d9b8a6a575d1e48edb583</cites><orcidid>0000-0002-6224-6634 ; 0009-0005-2387-3116 ; 0000-0002-1792-3325 ; 0000-0001-9712-7953</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Faisy.202300712$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Faisy.202300712$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,11562,27924,27925,46052,46476</link.rule.ids></links><search><creatorcontrib>Eshghi, Shahab</creatorcontrib><creatorcontrib>Rajabi, Hamed</creatorcontrib><creatorcontrib>Poser, Johannes</creatorcontrib><creatorcontrib>Gorb, Stanislav N.</creatorcontrib><title>WingSegment: A Computer Vision‐Based Hybrid Approach for Insect Wing Image Segmentation and 3D Printing</title><title>Advanced intelligent systems</title><description>This article introduces WingSegment, a MATLAB app‐designed tool employing a hybrid approach of computer vision and graph theory for precise insect wing image segmentation. WingSegment detects cells, junctions, Pterostigma, and venation patterns, measuring geometric features and generating Voronoi patterns. The tool utilizes region‐growing, thinning, and Dijkstra's algorithms for boundary detection, junction identification, and vein path extraction. It provides histograms and box plots of geometric features, facilitating comprehensive wing analysis. WingSegment's efficiency is validated through comparisons with established tools and manual measurements, demonstrating accurate results. The tool further enables exporting detected boundaries as FreeCAD macro files for 3D modeling and printing, supporting finite element analysis. Beyond advancing insect wing morphology understanding, WingSegment holds broader implications for diverse planar structures, including leaves and geocells. This tool not only enhances automated geometric analysis and 3D model generation in insect wing studies but also contributes to the broader advancement of analysis, 3D printing, and modeling technologies across various planar structures. WingSegment is a user‐friendly software for automated morphometry analysis and 3D modeling of insect wings. It integrates computer vision, image processing, and graph theory to segment insect wing images automatically. Subsequently, it provides statistics related to the size and position of wing cells, junctions, and vein patterns, and generates 3D models in the FCMacro format, compatible with FreeCAD.</description><subject>entomology</subject><subject>FreeCAD</subject><subject>maze‐solving</subject><subject>morphology</subject><subject>network extraction</subject><issn>2640-4567</issn><issn>2640-4567</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>DOA</sourceid><recordid>eNqFkMtKw0AUhoMoWGq3rucFUueSTBJ3sV4aKCjUC66Gk7nEKU1SZiKSnY_gM_okplaqO1fn5_B_3-IPglOCpwRjegbW91OKKcM4IfQgGFEe4TCKeXL4Jx8HE-9XeABIQjBNRoF9sk211FWtm-4c5WjW1pvXTjv0aL1tm8_3jwvwWqF5XzqrUL7ZuBbkCzKtQ0XjtezQ1oCKGiqNfkTQDSiCRiF2ie6cbbqhchIcGVh7Pfm54-Dh-up-Ng8XtzfFLF-EMmIRDXmpcRrHKsNMGkmlzKSMDTMZ50pDUipjeMmMKiVjKitT4BAnsSI6SrUq45SNg2LnVS2sxMbZGlwvWrDi-9G6SoDrrFxrQQY5ZZxnhLAIc0jT0hjKASTTacT54JruXNK13jtt9j6CxXZ3sd1d7HcfgGwHvNm17v9pi7xYPv-yX1bYiPM</recordid><startdate>202405</startdate><enddate>202405</enddate><creator>Eshghi, Shahab</creator><creator>Rajabi, Hamed</creator><creator>Poser, Johannes</creator><creator>Gorb, Stanislav N.</creator><general>Wiley</general><scope>24P</scope><scope>WIN</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-6224-6634</orcidid><orcidid>https://orcid.org/0009-0005-2387-3116</orcidid><orcidid>https://orcid.org/0000-0002-1792-3325</orcidid><orcidid>https://orcid.org/0000-0001-9712-7953</orcidid></search><sort><creationdate>202405</creationdate><title>WingSegment: A Computer Vision‐Based Hybrid Approach for Insect Wing Image Segmentation and 3D Printing</title><author>Eshghi, Shahab ; Rajabi, Hamed ; Poser, Johannes ; Gorb, Stanislav N.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4342-6be0855d903cfc2cc9cc5f3f966dea7bdff6b3fdbc33d9b8a6a575d1e48edb583</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>entomology</topic><topic>FreeCAD</topic><topic>maze‐solving</topic><topic>morphology</topic><topic>network extraction</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Eshghi, Shahab</creatorcontrib><creatorcontrib>Rajabi, Hamed</creatorcontrib><creatorcontrib>Poser, Johannes</creatorcontrib><creatorcontrib>Gorb, Stanislav N.</creatorcontrib><collection>Wiley Open Access Journals</collection><collection>Wiley Online Library Journals</collection><collection>CrossRef</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Advanced intelligent systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Eshghi, Shahab</au><au>Rajabi, Hamed</au><au>Poser, Johannes</au><au>Gorb, Stanislav N.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>WingSegment: A Computer Vision‐Based Hybrid Approach for Insect Wing Image Segmentation and 3D Printing</atitle><jtitle>Advanced intelligent systems</jtitle><date>2024-05</date><risdate>2024</risdate><volume>6</volume><issue>5</issue><epage>n/a</epage><issn>2640-4567</issn><eissn>2640-4567</eissn><abstract>This article introduces WingSegment, a MATLAB app‐designed tool employing a hybrid approach of computer vision and graph theory for precise insect wing image segmentation. WingSegment detects cells, junctions, Pterostigma, and venation patterns, measuring geometric features and generating Voronoi patterns. The tool utilizes region‐growing, thinning, and Dijkstra's algorithms for boundary detection, junction identification, and vein path extraction. It provides histograms and box plots of geometric features, facilitating comprehensive wing analysis. WingSegment's efficiency is validated through comparisons with established tools and manual measurements, demonstrating accurate results. The tool further enables exporting detected boundaries as FreeCAD macro files for 3D modeling and printing, supporting finite element analysis. Beyond advancing insect wing morphology understanding, WingSegment holds broader implications for diverse planar structures, including leaves and geocells. This tool not only enhances automated geometric analysis and 3D model generation in insect wing studies but also contributes to the broader advancement of analysis, 3D printing, and modeling technologies across various planar structures. WingSegment is a user‐friendly software for automated morphometry analysis and 3D modeling of insect wings. It integrates computer vision, image processing, and graph theory to segment insect wing images automatically. Subsequently, it provides statistics related to the size and position of wing cells, junctions, and vein patterns, and generates 3D models in the FCMacro format, compatible with FreeCAD.</abstract><pub>Wiley</pub><doi>10.1002/aisy.202300712</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0002-6224-6634</orcidid><orcidid>https://orcid.org/0009-0005-2387-3116</orcidid><orcidid>https://orcid.org/0000-0002-1792-3325</orcidid><orcidid>https://orcid.org/0000-0001-9712-7953</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2640-4567
ispartof Advanced intelligent systems, 2024-05, Vol.6 (5), p.n/a
issn 2640-4567
2640-4567
language eng
recordid cdi_doaj_primary_oai_doaj_org_article_1c9c23669113406a88bff26aac3e8466
source Publicly Available Content (ProQuest); Wiley Open Access Journals
subjects entomology
FreeCAD
maze‐solving
morphology
network extraction
title WingSegment: A Computer Vision‐Based Hybrid Approach for Insect Wing Image Segmentation and 3D Printing
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-07T19%3A20%3A59IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-wiley_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=WingSegment:%20A%20Computer%20Vision%E2%80%90Based%20Hybrid%20Approach%20for%20Insect%20Wing%20Image%20Segmentation%20and%203D%20Printing&rft.jtitle=Advanced%20intelligent%20systems&rft.au=Eshghi,%20Shahab&rft.date=2024-05&rft.volume=6&rft.issue=5&rft.epage=n/a&rft.issn=2640-4567&rft.eissn=2640-4567&rft_id=info:doi/10.1002/aisy.202300712&rft_dat=%3Cwiley_doaj_%3EAISY202300712%3C/wiley_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c4342-6be0855d903cfc2cc9cc5f3f966dea7bdff6b3fdbc33d9b8a6a575d1e48edb583%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true