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Comparative analysis of the biomedical image segmentation methods is presented in this paper. The segmentation methods are offered on the basis of previous labeling and spatial moments. Experimental results show that the developed methods have higher accuracy by signal-noise ratio (up to 40%) compared to the nowadays known.
In the article fractal approach is offered to the synthesis and analysis of a new class of images (images of tumular cells), the algorithms of synthesis and analysis of images of tumular cells are developed and the program system is developed in Borland Delphi 6.0 environment.