Plant texture classification using gabor co-occurrences
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part II
Enhancing Gabor wavelets using volumetric fractal dimension
CIARP'10 Proceedings of the 15th Iberoamerican congress conference on Progress in pattern recognition, image analysis, computer vision, and applications
A simplified gravitational model for texture analysis
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part I
Survey on LBP based texture descriptors for image classification
Expert Systems with Applications: An International Journal
Review: Plant species identification using digital morphometrics: A review
Expert Systems with Applications: An International Journal
A simplified gravitational model to analyze texture roughness
Pattern Recognition
Classifying plant leaves from their margins using dynamic time warping
ACIVS'12 Proceedings of the 14th international conference on Advanced Concepts for Intelligent Vision Systems
Texture analysis and classification using shortest paths in graphs
Pattern Recognition Letters
A Simplified Gravitational Model for Texture Analysis
Journal of Mathematical Imaging and Vision
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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