IFSA-EUSFLAT 2009 Interval-Valued Fuzzy System for Segmentation of Prostate Ultrasound Images

Abstract — In this paper we introduce an application of intervalvalued systems to the segmentation of prostate ultrasound images. The system classifies each pixel as prostate or background. The input variables are the values of each pixel in different processed images as proximity, edginess and enhanced image. The system has 20 rules and is trained with ideal images segmented by an expert. Interval-valued fuzzy systems have been used due to their potential to capture uncertainty in a more robust way compared to ordinary fuzzy systems. Keywords — Interval-valued fuzzy sets, ultrasound image, image segmentation