关键词: 森林病虫害监测, 无人机正射图像, 图像分割, 基于像素的聚类, 分水岭算法, 性能评价

Abstract: Six image segmentation algorithms based on the pixel clustering and watershed thought are chosen for segmenting the orthographic images of Chinese pine and sea-buckthorn captured by unmanned aerial vehicle. As evaluation criteria of algorithms, misclassification error, relative ultimate measurement accuracy and running time are implemented to compare segmentation performance of each algorithm objectively and quantitatively. Experimental results demonstrate that the accuracy of each algorithm is closely related to the image capture height and noise. The conclusion can play a guidance role in selecting algorithm for stricken forest orthographic images segmentation.

Key words: forest diseases and insect pests, unmanned aerial vehicle orthographic image, image segmentation, algorithms based on pixel clustering, watershed algorithm, algorithms&rsquo, performance evaluation