Itakura Kenta, Hosoi Fumiki
Appl Opt. 2020 Jan 10;59(2):545-551. doi: 10.1364/AO.59.000545.
In this study, a method to automatically segment plant leaves from three-dimensional (3D) images using structure from motion is proposed. First, leaves in the 3D images are roughly segmented using a region-growing method in which near points with distances less than 0.2 cm are assigned to the same group. By repeating this process, the leaves not touching each other can be segmented. Then, each segmented leaf is projected onto two-dimensional (2D) images, and the watershed algorithm is executed. This process successfully segments overlapping leaves.
在本研究中,提出了一种利用运动结构从三维(3D)图像中自动分割植物叶片的方法。首先,使用区域生长法对3D图像中的叶片进行粗略分割,在该方法中,距离小于0.2厘米的近点被分配到同一组。通过重复这个过程,可以分割出不相互接触的叶片。然后,将每个分割后的叶片投影到二维(2D)图像上,并执行分水岭算法。这个过程成功地分割出重叠的叶片。