An Investigation on Image Segmentation Algorithm of Distantly-Viewed Trees

In this paper, the importance of the tree feature recognition in the distant view is first pointed out based on the analyzing of frame and background difference method which are two practical methods in vision systems, By analyzing data and image features of distantly-viewed trees, and the matrix of 5times5 pixels is chosen as the basic operator of tree features, and the feature model and matching algorithm are developed for the distantly-viewed trees. The method of the tree feature recognition mentioned in this paper could greatly reduce the calculation workload of motion detection and improve the calculation accuracy, as well as the initial orientation of natural scenery. The mentioned method of the feature recognition also has universal significance for the structural modeling of repeated texture feature. The experimental results show that this approach is reliable and feasible.

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