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Unsupervised texture segmentation using Gabor filters
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Texture Classification Using Windowed Fourier Filters
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Gabor wavelets for statistical pattern recognition
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Evaluation of the effects of Gabor filter parameters on texture classification
Pattern Recognition
Fractal dimension applied to plant identification
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Extended fractal analysis for texture classification and segmentation
IEEE Transactions on Image Processing
Texture classification and segmentation using wavelet frames
IEEE Transactions on Image Processing
Plant leaf identification using color and multi-scale fractal dimension
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Plant texture classification using gabor co-occurrences
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Texture descriptor based on partially self-avoiding deterministic walker on networks
Expert Systems with Applications: An International Journal
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
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Expert Systems with Applications: An International Journal
Gabor wavelets combined with volumetric fractal dimension applied to texture analysis
Pattern Recognition Letters
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Taxonomical classification of plants is a very complex and time-consuming task. This is mostly due to the great biodiversity of species and the fact of most measures extracted from plants are traditionally performed manually. This paper presents a novel approach to plant identification based on leaf texture. Initially, the texture is modelled as a surface, so complexity analysis using Multi-scale fractal dimension can be performed over the generated surface, resulting in a feature vector which represents texture complexity in terms of the spatial scale. Yielded results show the potential of the approach, which overcomes traditional texture analysis methods, such as Co-occurrence matrices, Gabor filters and Fourier descriptors.