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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© 2013 IFIP International Federation for Information Processing
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Wang, J., Han, Y., Fu, Z., Li, D., Chen, J., Wang, S. (2013). Edge Geometric Measurement Based Principal Component Analysis in Strawberry Leaf Images. In: Li, D., Chen, Y. (eds) Computer and Computing Technologies in Agriculture VI. CCTA 2012. IFIP Advances in Information and Communication Technology, vol 392. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36124-1_8
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DOI: https://doi.org/10.1007/978-3-642-36124-1_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-36123-4
Online ISBN: 978-3-642-36124-1
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