Automatic method for segmenting leaves by combining 2D and 3D image-processing techniques
Automatic method for segmenting leaves by combining 2D and 3D image-processing techniques
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DOI：
10.1364/ao.59.000545
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发表时间：
2020-01-10
期刊：
影响因子：
1.9
通讯作者：
Hosoi, Fumiki
中科院分区：
文献类型：
--
作者：
Itakura, Kenta;Hosoi, Fumiki
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. (C) 2020 Optical Society of America
