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Fractal theory is widely used in every field of biomedicine. Digital segmentation recognition and fractal analysis of brain medical images in 30 infants (16 boys, 14 girls, age 27-36ms, average age 33.87 ± 1.12ms ) shows that infants' brains have been highly differentiated. Further clinical randomized controlled study, which was used to test the validity and accuracy of the mathematical morphological...
Non-universality and fuzziness of fractal would bring detection error when utilizing fractal feature to detect target in complex background. In this paper, a novel target detection algorithm based on fuzzy enhanced fractal feature is proposed. After the fractal feature named area measurement was estimated according to self-similarity of fractal, the new membership function of fuzzy sets based on the...
A methodology for segmentation and extraction morphologic feature from nailfold capillaroscopic images is presented. The main characteristic of the images studied here is the low contrast between the background and the capillaries.For this reason, three fundamental steps were applied in the preprocess: correction of the illumination, highlight and smoothing. For segmenting these images, Laplacians...
The segmentation process is formulated as a configurational optimization problem that is solved using simulated annealing optimization methods. This allows information about the degree of correspondence between a candidate segment and an assumed textural model, as well as morphological information about the candidate segment to be used in the segmentation process. To apply this optimization method,...
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