Plant Recognition by Integrating Color and Range Data Obtained Through Stereo Vision
Plant Recognition by Integrating Color and Range Data Obtained Through Stereo Vision
复制标题
DOI：
10.20965/jaciii.2005.p0630
复制
发表时间：
2005-11-01
影响因子：
0.7
通讯作者：
Yamamoto, Shinji
中科院分区：
文献类型：
--
作者：
Takizawa, Hotaka;Ezaki, Nobuo;Yamamoto, Shinji
我们提出了一种新的方法来识别植物自动和非破坏性的三维测量植物，包括高度，宽度和叶面积，这是重要的线索，以确定一个植物的条件。我们只使用两台摄像机和小工厂准备。首先利用双目立体摄像机获取植物的一对彩色图像，然后从彩色图像中提取植物的叶和茎区域，从立体图像中计算距离数据，利用Delaunay三角剖分生成植物的三维重建，并在生成的重建图像中对植物进行测量。两个实验结果显示为实际植物。
We present a new method for recognizing plants automatically and nondestructively by measuring plants three-dimensionally, including height, width, and leaf area, which are important clues for determining a plant condition. We use only two cameras and small plant preparation. A pair of color images for a plant is obtained by a binocular stereo camera, then leaf and stalk areas are extracted from color images, range data is calculated from stereo images, three-dimensional reconstruction for the plant is generated by using the Delaunay triangulation and the plant is measured in the generated reconstruction. Two experimental results are shown for actual plants.