WingQuest represents a significant aspect of my doctoral research, which focuses on investigating the functional morphology of insect wings to inspire the design of artificial wings. A key component of my research involves utilizing computer vision programming techniques. The study of insect wings is challenging due to their intricate and diverse shapes and venation patterns. However, computer vision offers a means to simplify the segmentation process by detecting and delineating various wing components, including cells, veins, and the outer edge.
To achieve this, our team has developed innovative methods that combine established techniques such as region growing, fast marching, pathfinding, thinning algorithms, and line simplification. By leveraging image analysis and computer vision, we have successfully created a suite of user-friendly software packages. These tools include WingMesh, which automates mesh generation, WingGram, enabling geometric analysis and finite element modeling of insect wings, EEstimator, which determines Young's modulus of insect cuticles based on CLSM images, WingAnalogy, designed for studying fluctuating asymmetry, and WingSegment, facilitating the segmentation of insect wings.
While some of these software packages are already accessible, others are currently undergoing review for publication. We enthusiastically welcome collaborations and inquiries to obtain further information about our work.
3D out-of-plane FE model of Dragonfly wing
3D printed model of dragonfly wing
3D printed model of Scorpion fly
Automated geometric analysis of Locust wing