The lacunarity of colour fractal images
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Fractal dimension and lacunarity of psoriatic lesions: a colour approach
BEBI'09 Proceedings of the 2nd WSEAS international conference on Biomedical electronics and biomedical informatics
Towards video quality metrics based on colour fractal geometry
Journal on Image and Video Processing - Special issue on emerging methods for color image and video quality enhancement
Color texture analysis based on fractal descriptors
Pattern Recognition
Illuminant invariant descriptors for color texture classification
CCIW'13 Proceedings of the 4th international conference on Computational Color Imaging
Probabilistic pseudo-morphology for grayscale and color images
Pattern Recognition
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Fractal dimension is a very useful metric for the analysis of the images with self-similar content, such as textures. For its computation there exist several approaches, the probabilistic algorithm being accepted as the most elegant approach. However, all the existing methods are defined for 1-D signals or binary images, with extension to grayscale images. Our purpose is to propose a color version of the probabilistic algorithm for the computation of the fractal dimension. To validate this new approach, we also propose an extension of the existing algorithm for the generation of probabilistic fractals, in order to obtain color fractal images. Then we show the results of our experiments and conclude this paper.