Leaf shape based plant species recognition

By Jixiang Du, Xiaofeng Wang, Guo-Jun Zhang. Applied Mathematics and Computation, 2007

439 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Evaluation of Features for Leaf Discrimination (2013, background): “There are a number of papers in the scientific literature that present variables for leaf classification [1,2,3].”
Plant species identification using digital morphometrics: A review (2012, methodology): “A “move median centres” (MMC) hypersphere classifier was developed by Du and colleagues [46], [47] that uses a series of hyperspheres to identify species in a space defined by a set of shape features and invariant moments.”
How deep learning extracts and learns leaf features for plant classification (2017, background): “[20] 2007 Geometrical calculation + Moment invariants X - - -”
A Leaf Recognition Algorithm for Plant Classification Using Probabilistic Neural Network (2007, methodology): “Similar method was proposed by Du et al. [1].”
Plant Species Identification Using Computer Vision Techniques: A Systematic Literature Review (2017, background): “Among our primary studies, geometric moments have been used for leaf analysis [22, 23, 40, 65, 72, 73, 102, 110, 137, 138, 154] as well as for flower analysis [3, 29].”
Plant classification system for crop /weed discrimination without segmentation (2014, methodology): “These approaches share with other work [6, 10] that the input is an image of a flat leaf captured on a mostly homogeneous background.”