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Technical note: extraction of wing venation characteristics by image analysis.

机译:技术说明:通过图像分析提取机翼通风特性。

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摘要

Wing venation characteristics, such as the wing diagram and coordinates of vein junctions, are species-specific and are usually used in studies of insect identification. Image analysis methods are quick and precise means to measure these characteristics. An image analysis method is proposed that enables extraction of the wing diagram and automatic identification of vein junctions. A color image of an insect wing is converted to a binary image of wing venation based on thresholding. A distance-to-boundary map of the complement of the binary image is computed using a distance transform function. The vein skeleton is obtained by a watershed transform. The lookup table method is applied to find coordinates of vein junctions. The proposed method is capable of producing a smooth vein skeleton diagram and can extract the coordinates of vein junctions. This approach is not limited to high-quality images and is simple because the characteristics are obtained almost simultaneously. The experimental results showed that the proposed method is repeatable and useful for wing analysis.
机译:机翼的通风特性,例如机翼图和静脉连接点的坐标,是特定于物种的,通常用于昆虫识别研究中。图像分析方法是测量这些特征的快速而精确的手段。提出了一种图像分析方法,该方法能够提取机翼图并自动识别静脉连接点。基于阈值化,将昆虫翅膀的彩色图像转换为翅膀脉的二进制图像。使用距离变换函数计算二值图像补码的距离边界图。静脉骨架是通过分水岭变换获得的。查找表方法用于查找静脉连接点的坐标。所提出的方法能够产生平滑的静脉骨架图,并且能够提取静脉连接点的坐标。该方法不限于高质量图像,并且简单,因为几乎同时获得了特性。实验结果表明,该方法具有可重复性,可用于机翼分析。

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