Plant Leaf Identification Using Gabor Wavelets

被引:107
作者
Casanova, Dalcimar [1 ]
de Mesquita Sa Junior, Jarbas Joaci [2 ]
Bruno, Odemir Martinez [1 ]
机构
[1] Univ Sao Paulo, IFSC, BR-13560970 Sao Carlos, SP, Brazil
[2] Univ Sao Paulo, ICMC, BR-13560970 Sao Carlos, SP, Brazil
基金
巴西圣保罗研究基金会;
关键词
Gabor wavelet filters; plant identification; texture analysis; plant taxonomy; FRACTAL DIMENSION; TEXTURE; CLASSIFICATION; RETRIEVAL; FILTERS;
D O I
10.1002/ima.20201
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
080906 [电磁信息功能材料与结构]; 082806 [农业信息与电气工程];
摘要
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
引用
收藏
页码:236 / 243
页数:8
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