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Plant Leaf Identification Based on Volumetric Fractal Dimension

Plant Leaf Identification Based on Volumetric Fractal Dimension,10.1142/S0218001409007508,International Journal of Pattern Recognition and Artificial

Plant Leaf Identification Based on Volumetric Fractal Dimension   (Citations: 7)
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    • ...(2009) in pattern recognition and artificial intelligence, Begum et al...

    Surendra P. Vermaet al. Application of the discordant outlier detection and separation system ...

    • ...(2009) in pattern recognition and artificial intelligence, Begum et al...

    Surendra P. Vermaet al. Application of the discordant outlier detection and separation system ...

    • ...Another advantage of using leaves is that they are very complex in their form, shape, and color, providing greater scope for differentiation using geometric aspects (Persson and Gustavsson 2001), and also in texture, a characteristic that can bring new sources of information for plant identification (Backes et al. 2009b)...
    • ...In fact, the volumetric fractal dimension has been very useful for identification and classification of leaf textures (Backes et al. 2009b)...
    • ...So, we decided to describe and study texture using the volumetric fractal dimension (Backes et al. 2009b)...
    • ...As shown by Backes et al. (2009b), all radii between 9 and 16 yield good results, thus, in this study we chose to use a radius of 15. Thus, the feature vector is composed of 189 descriptors arising from the logarithm of the volume of influence V(r), calculated for all values of r [ E, where E is the set of Euclidean distances to a radius r(max) = 15: E ¼ 1; ffiffiffi...
    • ...Fig. 3 Effect of volume characteristics for specific texture pattern: a original leaf texture; b r = 2; c r =5 ;d r = 10 (adapted from Backes et al. 2009b) Fractal analysis of leaf texture properties 107...

    Davi Rodrigo Rossattoet al. Fractal analysis of leaf-texture properties as a tool for taxonomic an...

    • ...In recent years this concept has been widely used in the field of image analysis [19], [20]...
    • ...For this we use the approach taken in [20]...
    • ...The maximum radius of expansion used for Eq. 7 was 9 and 16. According to [20] these values obtain the best results in classification...
    • ...We only present the table corresponding to the results using a radius of 16 because it was proven on [20] that these value achieves better performance and more reliable results...

    Alvaro Gomez Zunigaet al. Enhancing Gabor Wavelets Using Volumetric Fractal Dimension

    • ...In shape analysis, this property enables us to quantify the shape complexity in terms of space occupation and self-similarity [5,6,7,8]...
    • ...However, recent studies have described its use in texture analysis, an evidence that the method can also be effective in estimating the complexity of 3D models [6,13]...

    André Ricardo Backeset al. Characterizing 3D Shapes Using Fractal Dimension

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