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基于计算机视觉的昆虫翅膀不对称性和形态测量分析自动化工具 WingAnalogy。

WingAnalogy: a computer vision-based tool for automated insect wing asymmetry and morphometry analysis.

机构信息

Department of Functional Morphology and Biomechanics, Zoological Institute, Kiel University, 24118, Kiel, Germany.

Division of Mechanical Engineering and Design, School of Engineering, London South Bank University, London, UK.

出版信息

Sci Rep. 2024 Sep 27;14(1):22155. doi: 10.1038/s41598-024-73411-x.

Abstract

WingAnalogy is a computer tool for automated insect wing morphology and asymmetry analysis. It facilitates project management, enabling users to import pairs of wing images obtained from individual insects, such as left and right, fore- and hindwings. WingAnalogy employs image processing and computer vision to segment wing structures and extract cell boundaries, and junctions. It quantifies essential metrics encompassing cell and wing characteristics, including area, length, width, circularity, and centroid positions. It enables users to scale and superimpose wing images utilizing Particle Swarm Optimization (PSO). WingAnalogy computes regression, Normalized Root Mean Square Error (NRMSE), various cell-based parameters, and distances between cell centroids and junctions. The software generates informative visualizations, aiding researchers in comprehending and interpreting asymmetry patterns. WingAnalogy allows for dividing wings into up to five distinct wing cell sets, facilitating localized comparisons. The software excels in report generation, providing detailed asymmetry measurements in PDF, CSV, and TXT formats.

摘要

WingAnalogy 是一款用于昆虫翅膀形态和不对称性分析的自动化计算机工具。它便于项目管理,使用户能够导入从单个昆虫获得的一对翅膀图像,例如左和右、前和后翅膀。WingAnalogy 采用图像处理和计算机视觉技术来分割翅膀结构并提取细胞边界和交点。它量化了包括细胞和翅膀特征在内的基本指标,如面积、长度、宽度、圆度和质心位置。它使用粒子群优化 (PSO) 实现翅膀图像的缩放和叠加。WingAnalogy 计算回归、归一化均方根误差 (NRMSE)、各种基于细胞的参数以及细胞质心和交点之间的距离。该软件生成信息丰富的可视化效果,帮助研究人员理解和解释不对称模式。WingAnalogy 允许将翅膀划分为多达五个不同的翅膀细胞集,便于进行局部比较。该软件在报告生成方面表现出色,以 PDF、CSV 和 TXT 格式提供详细的不对称测量值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbe3/11437043/fad60dea6c17/41598_2024_73411_Fig1_HTML.jpg

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