CSpace
QaR tree method for optimal image particle decomposing
Shao, Zhenfeng1; Zhou, Xiran2; Liu, Jun3
2013
摘要The novel definition of image particle is proposed firstly. Then procedure of image particle decomposing is accomplished via QaR tree. Finally, the optimal comparative evaluation from QaR tree to other classic algorithms is given. Experimental results reveal that on the basis of accuracy and redundancy, QaR tree method holds better effects than other existing methods, and its results are closer to local image regions consisting of image space and image data.
发表期刊Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University
ISSN16718860
卷号38期号:2页码:204-207
通讯作者Shao, Z. (shaozhenfeng@163.com)
收录类别EI
语种中文