We present some new ideas for image analysis and texture segmentation. The two important points are the introduction of the multifractal theory for image understanding in a rigorous manner, which allows to do all the computations directly on the discrete signal, and the definition of a precise framework for texture analysis, in which we do not choose any a priori model for the study but.
Textural analysis of disordered materials with multifractals. Physica A: Statistical Mechanics and its Applications, 1999. Jiri Muller. Antoine Saucier. Jiri Muller. Antoine Saucier. Download with Google Download with Facebook or download with email. Textural analysis of disordered materials with multifractals. Download. Textural analysis of disordered materials with multifractals. Jiri Muller.
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This suggests that geochemical landscapes can be multifractals.. etc. Particularly in biomedical image analysis, tissue texture is considered to be a random fractal as it does not exhibit exactly the same structure at all scales, but with an approximate pattern appearing at different scales. This statistical self-similarity mainly depends on the underlying physiology of the pattern itself.
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Ontology-Based Medical Image understanding (NAME) Image understanding (IU) is the research domain related to the design and experimentation of computer systems that transforms features and data extracted from images into a meaningful descriptions, and creates subsequent decisions and actions in relation to the analysis of the images using a control structure. With regard to the long-standing.
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