Research On Point Cloud Information Processing Of Plant Based On PCL

Study of 3D plant information, as an important part of precision agriculture, can obtain dynamic data in the process of plant growth which offers new ideas for the mechanism study. At present, research of 3D plant models is in its infancy, and a few researches has combined with plant physiology information.We have depth research about 3D plant models with the Point Cloud Library in this paper.This paper includes:(1) In view of the 3D scanner's parameter can't be modified to reduce errors in our lab, we introduced an error analysis method based on the standard board. We proposed two error compensation algorithms based on the result of error analysis, and evaluate the results of error compensation.(2) In view of the extraction lesion for the 3D leaf models, we proposed a region growth algorithm based on the color difference. We have gotten good results in the field of extraction lesion for the 3D leaf models. In addition, we discussed the influence of 4 parameters in the algorithm, and evaluate the results of extraction lesion.(3) Hyperspectral data has been widely used throughout the study of plant physiology and quality inspection. We proposed an algorithm which combined hyperspectral data with 3D leaf models. We compared different image matching algorithms and evaluate the results.Through this research, We achieve the combination of hyperspectral data and point cloud model, the combination can provide new ideas for the problems of lesion detection and composition analysis.