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Grayscale images fuzzy clustering based on initial data transformation
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УДК: 004.93
Мова публікації: Російська
Stuc. intelekt. 2018; 23; (2):26-32
Анотація: The work is devoted to the description of the grayscale images fuzzy clustering method, which performs dynamic transformation of initial data based on singular decomposition (with automatic determining the most important columns of left singular vectors matrix) on each step. This approach may lead to segmentation sensitivity enhancement. Proposed method was described on the example of neuro-fuzzy clustering algorithm sFCM. The results of experimental researches were obtained after processing of real grayscale medical image. Better identification of objects of interest and whole image structure was achieved.
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Посилання:
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