Name
Abstract | ||
|---|---|---|
Plants are fundamental for human beings, so it's very important to catalogue and preserve all the plants species. Identifying an unknown plant species is not a simple task. The leaf analysis is one of the approach used for the plant species identification. This task can be completed also automatically by image processing techniques, able to analyse the leaf images and provide a classification based on prior information. Many methods have been proposed in literature in order to complete the whole cataloguing task, providing excellent classification results. Nevertheless, many of the proposed methods work only on images acquired in controlled lighting conditions and with uniform background. In this work we propose a mobile application for leaf analysis for the automatic identification of plant species. The application is mainly devoted to the identification and segmentation steps, resolving the main issues created by uncontrolled lighting conditions with very accurate results. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/978-3-319-48680-2_50 | ADVANCED CONCEPTS FOR INTELLIGENT VISION SYSTEMS, ACIVS 2016 |
Keywords | Field | DocType |
Image analysis,Leaf recognition,Saliency maps,Segmentation | Computer vision,Pattern recognition,Salience (neuroscience),Computer science,Segmentation,Leaf recognition,Image processing,Artificial intelligence,Plant species | Conference |
Volume | ISSN | Citations |
10016 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 15 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lorenzo Putzu | 1 | 37 | 7.34 |
| Cecilia Di Ruberto | 2 | 183 | 21.39 |
| Gianni Fenu | 3 | 92 | 27.81 |