作者: Guo-Jun Zhang , Xiao-Feng Wang , De-Shitang Huang , Zheru Chi , Yiu-Ming Cheung
DOI: 10.1109/ISIMP.2004.1434026
关键词:
摘要: The recognition of the tens thousands kinds plants on Earth is an important and difficult task. If we use a nearest neighbour classifier to solve it, millions training data are needed obtain high correct rate. However, corresponding classification process quite time-consuming. We propose new approach using moving median centers hypersphere technique recognize different plant leaves. With this method, can successfully decrease time, reduce storage size without sacrificing accuracy. Experimental results real show that method really efficient effective in classifying