Geometric leaf classification

Leaf segmentation in plant phenotyping: a collation study

“…Research on these areas has been motivated by several datasets showing leaves in isolation cut from plants and imaged individually, or showing leaves on the plant but with a leaf encompassing a large field of view (e.g., by imaging via a smart phone application). This problem has been addressed in an unsupervised [50,59], shape-based [13,14,30], and interactive [12][13][14] fashion.…”

PaCeQuant: A Tool for High-Throughput Quantification of Pavement Cell Shape Characteristics

“…For example, shapes were quantified by use of Fourier-based descriptors (McLellan and Endler, 1998), moments, geometric codes, and margin statistics (Kalyoncu and Toygar, 2015), and leaf serration was quantified using hierarchy analyses (Biot et al, 2016). With improving imaging techniques, several studies addressed the dynamics and changes of PC shape during leaf development and expansion (Iwata and Ukai, 2002;Andriankaja et al, 2012;Elsner et al, 2012;Barbier de Reuille et al, 2015;Vanhaeren et al, 2015).…”

“…At the macroscopic level, studies of leaf geometry were one of the first applications for shape analysis in biology (Dale et al, 1971;Ghent, 1973;Kalyoncu and Toygar, 2015). For example, shapes were quantified by use of Fourier-based descriptors (McLellan and Endler, 1998), moments, geometric codes, and margin statistics (Kalyoncu and Toygar, 2015), and leaf serration was quantified using hierarchy analyses (Biot et al, 2016).…”

Template based Shape Feature Selection for Plant Leaf Classification

“…Fig.16. Accuracies using approach [14] (blue) and current approach (red) In [15] the Moment Invariant, convexity, perimeter ratio, multi scale distance ratio, average margin distance, and margin statistics is used for the classification of leaves using LDC. As all the features are shape features, the leaf images with similar shapes may not be handled by this approach.…”