Finally, a modified density-based spatial clustering of applications with noise (DBSCAN) algorithm based on the above new-defined distance metric is used to cluster the refined point clouds. Individual leaves can be represented by these clusters. Experiments on simulation and real sceneries show that...
Automatic segmentation of overlapped poplar seedling leaves combining Mask R-CNN and DBSCAN. Comput. Electron. Agric. 2020, 178, 105753. [Google Scholar] [CrossRef] He, K.; Gkioxari, G.; Dollár, P.; Girshick, R. Mask R-Cnn. In Proceedings of the IEEE International Conference on ...
An automated approach for wood-leaf separation from terrestrial LIDAR point clouds using the density based clustering algorithm DBSCAN. Agric. For. Meteorol. 2018, 262, 434–444. [Google Scholar] [CrossRef] Li, Z.; Douglas, E.; Strahler, A.; Schaaf, C.; Yang, X.; Wang, Z.; Yao, ...
Common point-cloud clustering and segmentation algorithms include K-means clustering [41], region growth [39], density-based spatial clustering of applications with noise (DBSCAN) [42], and watershed algorithm [40]. For the point cloud of segmented single leaf, delaunay triangulation [41], least...
To achieve the classification of cotton leaf spots by small sample learning, a metric-based learning method was developed to extract cotton leaf spot features and classify the sick leaves. The threshold segmentation and SVM were compared in the extracting of leaf spot. The results showed that both...
An automated approach for wood-leaf separation from terrestrial LIDAR point clouds using the density based clustering algorithm DBSCAN The terrestrial light detection and ranging (LiDAR) technique has been recently used to provide 3D structural information of forest canopy at the individua... Ferrara,...
They used DBSCAN algorithm (Density-Based Spatial Clustering of Application with Noise) to consider the significant difference in leaf and wood point density from individual trees. In their method, point clouds are first partitioned into voxels. Then, the DBSCAN-based model is applied to voxels ...
() Citation Context ...999), extended from the DBSCAN partitioning method (Ester et al. 1996). To derive a one-dimensional ordering from a cluster hierarchy, several different methods are available (Bar-Joseph et al. 2001; =-=Bar-Joseph et al. 2003-=-; Guo et al. 2003), Ordering ...
Scans of seven individuals of Quercus sober L. trees were acquired by using the TLS phase-based Leica HDS6100. Point clouds were partitioned in cubic volumes (voxels) that were used as input to generate clusters through the point density algorithm DBSCAN. The clustering process led to the ...
Compared with the traditional K-means algorithm, DBSCAN algorithm, Mean Shift algorithm and ExG-ExR color indices method, the proposed algorithm can successfully segment the tomato leaf images more precisely and efficiently.Tian, KaiLi, JiuhaoZeng, JiefengEvans, AsensoZhang, Lina...