Fig 1.
Block diagram of proposed framework for leaf tooth feature extraction.
http://dx.doi.org/10.17504/protocols.io.wrxfd7n [PROTOCOL DOI].
Fig 2.
Flowchart of the leaf tooth feature extraction scheme.
Fig 3.
Flowchart of the CSS algorithm.
Fig 4.
The eight types of leaves.
Table 1.
Relationship between the number of extracted leaf teeth and the value of δ.
Fig 5.
Example of convex points calibrated by the algorithm.
(A) Schematic diagram of corner detection of leaf edge. (B) Example of the convex points of the algorithm calibration
Fig 6.
Schematic diagram of the orders of leaf tooth.
(A) One order leaf tooth. (B) Two orders leaf tooth
Fig 7.
Sinus shape.
Fig 8.
Chart of possible tooth shapes.
Table 2.
Mean curvature of leaves calculated in the sinus shape experiment.
Fig 9.
Tooth shape judgment diagram.
Fig 10.
Examples of test leaves.
Table 3.
Level of classification accuracy according to the Kappa coefficient value.
Table 4.
Results of tooth extraction.
Table 5.
Accuracy statistics of the orders of leaf tooth.
Table 6.
Statistics of the curvature of the concave shape.
Table 7.
LDA results.
Table 8.
SVM classification results.