Syaiful Anam, Hideaki Misawa, Eiji Uchino, Noriaki Suetake
In this paper, we present a method for parameter tuning of membership functions in Takagi-Sugeno (T-S) fuzzy model using Particle Swarm Optimization (PSO). This is applied to plaque boundary extraction in Intravascular Ultrasound (IVUS) image. Searching areas for coronary plaque boundaries are automatically set by using weighted image separability and some heuristic rules. The coronary plaque boundaries are interpolated by polynomials inferred by fuzzy rules. PSO tunes the parameters of the membership functions in the antecedent parts of the fuzzy rules. The accuracy of the proposed method is better than that of our previous method. © 2012 IEEE.
Graduate School of Science and Engineering, Yamaguchi University, Yamaguchi 753-8512, 1677-1 Yoshida, Japan; Department of Mathematics, University of Brawijaya, Malang 65145, Indonesia; Fuzzy Logic Systems Institute, Iizuka, Fukouka 820-0067, 680-41 Kawazu, Japan
