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Title: A hypersphere method for plant leaves classification
Authors: Zhang, GJ
Wang, XF
Huang, DS
Chi, Z 
Cheung, YM
Du, JX
Wan, YY
Keywords: Biology computing
Image classification
Learning (artificial intelligence)
Object recognition
Issue Date: 2004
Source: Proceedings of the International Symposium on Intelligent Multimedia, Video and Speech Processing (ISIMP’2004), Hong Kong, 20-22 Oct. 2004, p. 165-168 How to cite?
Abstract: The recognition of the tens of thousands of kinds of plants on Earth is an important and difficult task. If we use a nearest neighbour classifier to solve it, millions of training data are needed to obtain a high correct recognition rate. However, the corresponding classification process is quite time-consuming. We propose a new approach using a moving median centers hypersphere technique to recognize different plant leaves. With this new method, we can successfully decrease the classification time, and reduce the storage size without sacrificing the classification accuracy. Experimental results using real data show that this method is really efficient and effective in classifying different plant leaves.
ISBN: 0-7803-8687-6
DOI: 10.1109/ISIMP.2004.1434026
Appears in Collections:Conference Paper

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