Plants are our source of oxygen and nutrients on earth. Therefore, conservation of biodiversity is vital for the survival of other species. With the developing technology, plant species can be examined more closely. Image processing, which is a subject of computer science, has an important role in this field. In this study, an image processing–based method has been developed to automatically separate the petiole region of the plant leaves. To determine the boundary line of the petiole region, the cumulative pixel distributions of the input images in binary format according to the X- and Y-axis are analyzed. Accordingly, optimum thresholds and petiole boundary points are determined. The proposed method was tested on 795 leaf images from 90 different plant species that grow both as trees and shrubs in the Czech Republic. According to the results obtained in experimental studies, it is thought that the proposed method will make an important contribution especially in studies such as automatic classification of plants and leaves and determination of plant species in botanical science.

植物是我们地球上氧气和养分的来源。因此，生物多样性的保护对于其他物种的生存至关重要。随着技术的发展，可以更仔细地检查植物种类。图像处理是计算机科学的主题，在该领域具有重要作用。在这项研究中，已经开发了一种基于图像处理的方法来自动分离植物叶片的叶柄区域。要确定叶柄区域的边界线，请根据X-和Y以二进制格式输入图像的累积像素分布-轴被分析。因此，确定最佳阈值和叶柄边界点。在捷克共和国的90种不同植物物种的795张叶片图像上测试了所提出的方法，这些物种以树木和灌木的形式生长。根据在实验研究中获得的结果，认为该方法将在植物科学中对植物和叶子的自动分类以及植物种类的确定等研究中做出重要贡献。