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A Method for Quantitative Analysis of Geometrical Structure of Animal Organs in Meso-scale: the Dung Beetle Foreleg End Tooth as a Case Example

机译:中间规模动物器官几何结构定量分析方法:粪虫前肢末端牙齿作为案例示例

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The geometrical shapes of some animal organs have distinguished functions and properties that can provide useful information for bionic engineering applications. Hence, it is necessary to quantitatively measure the geometrical structure of those animal organs. However, some of the animal organs are tiny, complex and in the Meso-scale (0.1~10 mm). Their potential bionic application requires an accurate and efficient method to quantitatively analysis of their geometrical shapes. But existing methods are difficult and inefficient to quantitatively analysis. Yet, it was found that MATLAB image processing and computer vision technique can be advantageously exploited to obtain outer margin geometrical information from stereomicroscopy photograph. In this work, based on MATLAB, a program was designed and a method was proposed that specified for extract meso-scale animal organ outer margin contour points. The procedure for obtaining quantified geometrical information can be conclude as that stereomicroscope image of bionic object animal organ was prepared, the image to reduce noise interference was processed, the outer edge contour points was detected, and the points x and y coordinates data to computer database was stored. The foreleg of dung beetle Copris ochus Motschulsky, which is with special tooth-like structure for burrowing, the height of the end tooth is only around 1 mm and the width is about 0.5 mm, supported by this method, the outer edge profile of the foreleg end tooth was extracted from stereomicroscopy image with 669×727 pixels, about 1500 outer edge contour points was obtained, points' x and y coordinates data were inputted to computer database for further analysis. This method is efficient, accurate and easy to adapt to quantitatively analysis of geometrical characteristic features of other animal organs in meso-scale.
机译:一些动物器官的几何形状具有可提供仿生工程应用的有用信息的卓越功能和特性。因此,有必要定量测量这些动物器官的几何结构。然而,一些动物器官是微小的,复杂的并且在中间尺度(0.1〜10毫米)。它们的潜在仿生应用需要准确和有效的方法来定量分析它们的几何形状。但是,现有的方法是难以和效率的量化分析。然而,发现可以有利地利用MATLAB图像处理和计算机视觉技术来从立体视镜照片获得外部边缘几何信息。在这项工作中,基于MATLAB,设计了一个程序,提出了一种用于提取中间级动物器官外缘轮廓点的方法。获得量化的几何信息的过程可以得出结论,因为准备了仿生物体动物器官的立体显微镜图像,处理了降低噪声干扰的图像,检测到外边缘轮廓点,并且点X和Y将数据坐在计算机数据库中被储存。粪甲虫的前肢Copris Ochus Motschulsky,其具有特殊的牙齿状结构进行挖洞,端齿的高度仅为1mm,宽度为约0.5mm,由此方法支撑,外边缘轮廓从立体声镜图像中提取前肢牙齿,用669×727像素提取,获得大约1500个外边缘轮廓点,点'x和y坐标数据被输入到计算机数据库以进行进一步分析。该方法是高效,准确且易于适应中间尺度中其他动物器官的几何特征的定量分析。

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