Automatic classification of legumes using leaf vein image features
作者：
Highlights：
• We develop an automatic procedure to classify legume species using scanned leaves.
• The method is based exclusively on the analysis of the leaf venation images.
• We analyze the advantages over the usage of cleared leaves.
• Different state-of-the-art classifiers are compared.
• The proposed method outperforms human expert classification.
摘要
Highlights•We develop an automatic procedure to classify legume species using scanned leaves.•The method is based exclusively on the analysis of the leaf venation images.•We analyze the advantages over the usage of cleared leaves.•Different state-of-the-art classifiers are compared.•The proposed method outperforms human expert classification.
论文关键词：Leaf vein features,Leaf vein images,Legume classification,Leaf vein analysis,Unconstrained hit-or-miss transform
论文评审过程：Available online 21 June 2013.
论文官网地址：https://doi.org/10.1016/j.patcog.2013.06.012
