微型电脑应用2012，Vol.28Issue(5)：15-16,19,3.
基于最大稳定极值区域的机场目标识别
Airport Object Recognition Based on MSER
摘要
Abstract
Recognition at the scene of dynamic changes of airport background,a method of object recognition based on Maximally Stable Extreme Region is presented in this paper. The method of MSER,combine the contour of the regions of the objects and the local structures of these regions in its feature space,has better property in the recognition of airport object. It enhance the stability of object recognition. This paper also compare the MSER with SIFT at the same experiment sample. The experiment results testify that the method is practicable in airport object recognition.关键词
MSER算法/目标识别/飞机/实验研究Key words
MSER Algorithm/Object Recognition/Airplane/Experiment Research分类
信息技术与安全科学引用本文复制引用
魏敦生,周越..基于最大稳定极值区域的机场目标识别[J].微型电脑应用,2012,28(5):15-16,19,3.
