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Leaf Vein Extraction Based on Gray-scale Morphology

机译:基于灰度形态学的叶脉提取

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Leaf features play an important role in plant species identification and plant taxonomy. The type of the leaf vein is an important morphological feature of the leaf in botany. Leaf vein should be extracted from the leaf in the image before discriminating its type. In this paper a new method of leaf vein extraction has been proposed based on gray-scale morphology. Firstly, the color image of the plant leaf is transformed to the gray image according to the hue and intensity information. Secondly, the gray-scale morphology processing is applied to the image to eliminate the color overlap in the whole leaf vein and the whole background. Thirdly, the linear intensity adjustment is adopted to enlarge the gray value difference between the leaf vein and its background. Fourthly, calculate a threshold with OSTU method to segment the leaf vein from its background. Finally, the leaf vein can be got after some processing on details. Experiments have been conducted with several images. The results show the effectiveness of the method. The idea of the method is also applicable to other linear objects extraction.
机译:叶特征在植物物种识别和植物分类学中起着重要作用。叶脉的类型是植物学中叶的重要形态特征。在区分其类型之前,应从图像中的叶子中提取叶静脉。本文提出了一种基于灰度形态学的叶脉提取新方法。首先,根据色相和强度信息,将植物叶片的彩色图像转换为灰色图像。其次,对图像进行灰度形态学处理,以消除整个叶脉和整个背景的颜色重叠。第三,采用线性强度调整来扩大叶脉与其背景之间的灰度值差。第四,使用OSTU方法计算阈值,以从背景中分割叶静脉。最后,经过一些细节处理,即可获得叶脉。实验已经用几个图像进行了。结果表明了该方法的有效性。该方法的思想也适用于其他线性对象提取。

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