Leaf recognition of woody species in Central Europe

By Petr Novotný, T. Suk. 2013

112 citations recorded by the source corpus.

A system for recognition of woody species in Central Europe according to the images of their leaves is described. Our own data set, which includes 151 species at this moment, with at least 50 leaves per species was used. After segmentation, the contour of the leaf was traced. Fourier descriptors normalised to translation, rotation, scaling and starting point of the boundary, were used. The size of the leaf, if known, was used as a separate feature. The nearest neighbour classifier was used. The algorithm is available through a web application.

Subfields: Environmental Engineering, Plant Science

View Paper: https://www.semanticscholar.org/paper/1174ed0d82ecf346aa9c98c1ba44c9f3b7bc46ae

How researchers see this paper

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

In Environmental Engineering

1. Patrick Mäder
2. Jana Wäldchen

In Plant Science

1. Patrick Mäder
2. Jana Wäldchen

Citations in the corpus

• Plant Species Identification Using Computer Vision Techniques: A Systematic Literature Review (2017, methodology): “Novotny and Suk [106] used FD in combination with TMI and major axis length.”