Fuzzy based subcutaneous fat assessment in real time ultrasound images

The present work addresses the study of techniques of digital image processing based on fuzzy logic for subcutaneous fat (SF) estimation in real time ultrasound (RTU) images. The process for SF automatic estimation in RTU images is divided into two steps: the identification of the image area corresponding to the SF regions and, from these regions, the SF estimation. In order to deal with the ambiguity present in the gray levels of RTU images, fuzzy logic based methods are used. Experimental results are also presented.

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