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  • Leaf image retrieval using combined feature of vein and contour

    Author(s)
    Yu, X
    Xiong, S
    Gao, Y
    Griffith University Author(s)
    Gao, Yongsheng
    Yu, Xiaohan
    Year published
    2016
    Metadata
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    Abstract
    This paper proposes a novel method of recognizing plant leaf image using a combination of venation and contour features. In this method, the shape is cut into pieces under different scales to describe the leaf image in a multiscale way. Both leaf venation and contour features extracted from the cut pieces are utilized to provide comprehensive description under each scale. The performance of the proposed method has been evaluated on two leaf datasets. And the experimental results indicates that the proposed method can achieve higher (or similar) recognition accuracies than the state-of-the-art approaches with acceptable speed.This paper proposes a novel method of recognizing plant leaf image using a combination of venation and contour features. In this method, the shape is cut into pieces under different scales to describe the leaf image in a multiscale way. Both leaf venation and contour features extracted from the cut pieces are utilized to provide comprehensive description under each scale. The performance of the proposed method has been evaluated on two leaf datasets. And the experimental results indicates that the proposed method can achieve higher (or similar) recognition accuracies than the state-of-the-art approaches with acceptable speed.
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    Conference Title
    International Conference Image and Vision Computing New Zealand
    Volume
    2016-November
    DOI
    https://doi.org/10.1109/IVCNZ.2015.7761551
    Subject
    Computer vision
    Image processing
    Publication URI
    http://hdl.handle.net/10072/338684
    Collection
    • Conference outputs

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