Edge Geometric Measurement Based Principal Component Analysis in Strawberry Leaf Images - Computer and Computing Technologies in Agriculture VI - Part I Access content directly
Conference Papers Year : 2013

Edge Geometric Measurement Based Principal Component Analysis in Strawberry Leaf Images

Abstract

Edge geometric measurement analysis is an important method of image understanding and portraying the target feature. In this paper, we compress 17 interrelated shape descriptors which are based on edge geometric measure into 6 independent components, and discuss their meanings by using principal component analysis. The analyses in this article provide guidance for the shape feature optimization and accurate identification for greenhouse strawberry leaves images successfully.
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hal-01348081 , version 1 (22-07-2016)

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Jianlun Wang, Yu Han, Zetian Fu, Daoliang Li, Jianshu Chen, et al.. Edge Geometric Measurement Based Principal Component Analysis in Strawberry Leaf Images. 6th Computer and Computing Technologies in Agriculture (CCTA), Oct 2012, Zhangjiajie, China. pp.58-68, ⟨10.1007/978-3-642-36124-1_8⟩. ⟨hal-01348081⟩
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