Image processing algorithm for improving the identification of patterns on Diptera wings

Alejandra Guerrón, D. Benítez, S. Zapata, D. Augot
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引用次数: 5

Abstract

This paper presents an image processing algorithm to highlight important features from Diptera wings, as a first step towards the development of an automated analysis tool for the identification, at a species level, of certain genres of Diptera based on their wings morphological characteristics. The present algorithm includes: patterns, landmarks, and spot cells, identification through filters, edge and round geometries detectors as well as their respective centers and radii. The aim was to improve the usually manual Diptera identification task by stressing on the most important features of the wings and use this as a training tool for non-experienced users.
改进双翅目翅膀图案识别的图像处理算法
本文提出了一种图像处理算法,以突出双翅目翅膀的重要特征,作为开发一种基于翅膀形态特征在物种水平上识别某些双翅目昆虫类型的自动化分析工具的第一步。目前的算法包括:图案,地标和点细胞,通过过滤器识别,边缘和圆形几何探测器及其各自的中心和半径。目的是通过强调翅膀的最重要特征来改善通常手动双翅目识别任务,并将其用作无经验用户的培训工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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