Texture Classification Using Fractal Dimension and Lacunarity
نویسندگان
چکیده
The fractal features including fractal dimension (FD) and lacunarity measures are often used as indicators of texture. Several FD and lacunarity estimation methods leading to different results have been proposed in the literature. This paper is devoted mainly to show the need to combine the lacunarity with fractal dimension for the discrimination between different textures and especially to check if this combination is valid with any FD estimation method. Keywordstexture analysis; fractal dimension; lacunarity; classification.
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Using Fractal Characteristics such as Fractal Dimension, Lacunarity and Succolarity to Characterize Texture Patterns on Images
Three aspects of texture are considered by the fractal geometry: Fractal Dimension (FD), Lacunarity and Succolarity. Fractal Dimension has been well studied; a great number of approaches have been presented to extract it from images. It can be computed from black-white to multi-band image. There are many approaches also, from the simple Box-Dimension to the most complex Hausdorff Dimension. The...
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