Feature Matching Algorithm of Trees in Natrual Scenery

It can improve the recognition rate and segmentation accuracy of moving objects in strong wind and no buildings to extract the features of trees. In this paper, the similarity criterion about the pore texture feature matching of tree crown is proposed by analyzing the pore texture feature and experimenting. The feature difference matrix of 5times5 pixels is chosen as the basic operator of tree features. The feature extraction method and matching algorithm are developed for trees in natural scenery. The matching algorithm presented in this paper could greatly reduce the calculation workload of motion detection and improve the calculation accuracy, and has universal significance for the structural modeling of repeated texture feature. The experimental results show that this approach is reliable and feasible.