ApLeafis: An Android-based plant leaf identification system

12Citations
Citations of this article
21Readers
Mendeley users who have this article in their library.
Get full text

Abstract

To automatically identify plant species is very useful for ecologists, amateur botanists, educators, and so on. In this paper, an Android-based mobile application designed to automatically identify plant species by the photographs of tree leaves is described. In this application, one leaf image can be either a digital image from the existing leaf image database or a picture collected by a camera. The picture should be a single leaf placed on a light and untextured background without other clutter. The identification process consists of totally three steps: leaf image segmentation, feature extraction, and species identification. The demo system is evaluated on the ImageCLEF2012 Plant Identification database which contains 126 tree species from the French Mediterranean area. The output of the system to users is the top several species which match the query leaf image the best, as well as the textual descriptions and additional images about leaves, flowers, etc., of theirs. Our system works well with state-of-the-art identification performance. © 2013 Springer-Verlag.

Cite

CITATION STYLE

APA

Ma, L. H., Zhao, Z. Q., & Wang, J. (2013). ApLeafis: An Android-based plant leaf identification system. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7995 LNCS, pp. 106–111). https://doi.org/10.1007/978-3-642-39479-9_13

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free