计算机工程与应用2017，Vol.53Issue(8)：216-223,8.DOI:10.3778/j.issn.1002-8331.1509-0316
森林病虫害监测中的无人机图像分割算法比较
Comparison of algorithms for unmanned aerial vehicle image segmentation in monitoring forest diseases and insect pests
摘要
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.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Key words
forest diseases and insect pests/unmanned aerial vehicle orthographic image/image segmentation/algorithms based on pixel clustering/watershed algorithm/algorithms'performance evaluation分类
信息技术与安全科学引用本文复制引用
费运巧,刘文萍,骆有庆,陆鹏飞..森林病虫害监测中的无人机图像分割算法比较[J].计算机工程与应用,2017,53(8):216-223,8.基金项目
林业公益性行业科研专项经费资助(No.201404401). （No.201404401）
