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.
| Origin | Files produced by the author(s) |
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