Fuzzy logic and local features based medical image segmentation

Authors

Umer Javed, International Islamic University, Pakistan
M Mohsin Riaz, National University of Sciences and Technology
Muhammad Khokher, University of WollongongFollow
Abdul Ghafoor, National University of Sciences And Technology
Tanveer A. Cheema, Isra University

RIS ID

89436

Publication Details

U. Javed, M. Mohsin. Riaz, M. Rizwan. Khokher, A. Ghafoor & T. A. Cheema, "Fuzzy logic and local features based medical image segmentation," in 20th IEEE International Conference on Image Processing (ICIP 2013), 2013, pp. 1148-1152.

Abstract

A fuzzy logic based active contour model for medical image segmentation is proposed. Image local features are incorporated in active contour model. Fuzzy logic is used to assign weights to pixels. Higher weights are assigned to pixels having less entropy and local variance whereas Lower weights are assigned to pixels having high entropy and local variance. Simulation results show the improvement in segmentation results in terms of efficiency and accuracy.