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Plant leaf identification using Gabor wavelets
Author(s) -
Casanova Dalcimar,
de Mesquita Sá Junior Jarbas Joaci,
Bruno Odemir Martinez
Publication year - 2009
Publication title -
international journal of imaging systems and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.359
H-Index - 47
eISSN - 1098-1098
pISSN - 0899-9457
DOI - 10.1002/ima.20201
Subject(s) - gabor wavelet , artificial intelligence , gabor filter , pattern recognition (psychology) , texture (cosmology) , wavelet , identification (biology) , computer science , plant species , mathematics , fourier transform , computer vision , wavelet transform , botany , image (mathematics) , discrete wavelet transform , biology , mathematical analysis
This article presents a novel method of plant classification using Gabor wavelet filters to extract texture filters in a foliar surface. The aim of this promising method is to add to the results obtained by other leaf attributes (such as shape, contour, color, among others), increasing, therefore, the percentage of classification of plant species. To corroborate the efficiency of the technique, an experiment using 20 species from Brazilian flora was done and discussed. The results are also compared with texture Fourier descriptors and cooccurrence matrices. © 2009 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 19, 236–243, 2009