Texture description and segmentation through fractal geometry
Computer Vision, Graphics, and Image Processing
Fuzzy fractal dimensions and fuzzy modeling
Information Sciences: an International Journal
Algorithms to estimating fractal dimension of textured images
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 03
Computers in Biology and Medicine
Fractal Dimension of Color Fractal Images
IEEE Transactions on Image Processing
The lacunarity of colour fractal images
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
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
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Fractal measures like fractal dimension and lacunarity are widely-used for the analysis of textures, or any images with self-similar content. However, all the existing approaches are defined for one dimensional signals or binary images with extension to grey-scale images. We propose a colour approach, derived from the existing probabilistic algorithm for the computation of the fractal dimension and lacunarity. We used this approach for the evaluation of the skin lesions, in case of psoriasis. We show that there is correlation between the severity of a psoriatic lesion and the fractal dimension, when we compare two lesions of the same person. Lacunarity can be used as a complementary tool to interpret the results and distinguish between two lesions with the same fractal dimension. We discuss the results and then draw the conclusions.