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

Journal article

Eshghi, S., Rajabi Jorshari, H., Poser, J. and Gorb, S. (2024). WingSegment: A Computer Vision‐Based Hybrid Approach for Insect Wing Image Segmentation and 3D Printing. Advanced Intelligent Systems. p. 2300712. https://doi.org/10.1002/aisy.202300712
AuthorsEshghi, S., Rajabi Jorshari, H., Poser, J. and Gorb, S.
AbstractThis 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.
KeywordsGeneral Earth and Planetary Sciences; General Environmental Science
Year2024
JournalAdvanced Intelligent Systems
Journal citationp. 2300712
PublisherWiley
ISSN2640-4567
Digital Object Identifier (DOI)https://doi.org/10.1002/aisy.202300712
Web address (URL)https://doi.org/10.1002/aisy.202300712
Funder/ClientGerman Academic Exchange Service
Publication dates
Online17 Mar 2024
Publication process dates
Deposited26 Mar 2024
Publisher's version
File Access Level
Open
Licensehttp://creativecommons.org/licenses/by/4.0/
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