Title :
Mobile plant leaf identification using smart-phones
Author :
Bin Wang ; Brown, Dean ; Yongsheng Gao ; La Salle, John
Author_Institution :
Key Lab. of Electron. Bus., Nanjing Univ. of Finance & Econ., Nanjing, China
Abstract :
A novel shape description method is proposed for mobile retrieval of leaf images to aid in plant recognition. In this method, traveling the shape contour, the convexity and concavity properties of the arches of various levels are measured, respectively, to generate a multiscale shape descriptor. Its performance has been tested on two leaf datasets and the experimental results indicated higher recognition accuracies than the state-of-the-art approaches with a speed improvement of more than 170 times. The proposed method has been successfully applied to develop a prototype system of online plant leaf identification working on a consumer mobile platform.
Keywords :
image retrieval; shape recognition; smart phones; arches; concavity properties; consumer mobile platform; convexity properties; leaf images; mobile plant leaf identification; mobile retrieval; online plant leaf identification; plant recognition; recognition accuracy; shape contour; shape description method; smart-phones; speed improvement; leaf image retrieval; mobile leaf identification; plant identification; shape description;
Conference_Titel :
Image Processing (ICIP), 2013 20th IEEE International Conference on
Conference_Location :
Melbourne, VIC
DOI :
10.1109/ICIP.2013.6738910
