Plant Leaf Identification Using Gabor Wavelets
Plant Leaf Identification Using Gabor Wavelets
复制标题
DOI：
10.1002/ima.20201
复制
发表时间：
2009-01-01
影响因子：
3.3
通讯作者：
Bruno, Odemir Martinez
中科院分区：
文献类型：
--
作者：
Casanova, Dalcimar;de Mesquita Sa Junior, Jarbas Joaci;Bruno, Odemir Martinez
本文提出了一种新的方法，植物分类使用Gabor小波滤波器提取纹理过滤器在叶面表面。这种有前途的方法的目的是添加到其他叶属性（如形状，轮廓，颜色等）获得的结果，增加，因此，植物物种的分类的百分比。为了证实该技术的有效性，使用20种巴西植物群进行了实验和讨论。结果也比较纹理傅立叶描述符和共生矩阵。(C)2009 Wiley Periodicals，Inc. Int J Imaging Syst Technol，19，236-243，2009;在线发表于Wiley InterScience（www.interscience.wiley.com）。DOI 10.1002/ima.20201
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. (C) 2009 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 19, 236-243, 2009; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/ima.20201