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Advances in Fuzzy Systems
Volume 2016 (2016), Article ID 8109686, 7 pages
Research Article

An Image Segmentation by BFV and TLBO

Department of Mechanical Engineering, Abadan Branch, Islamic Azad University, Abadan, Iran

Received 3 August 2016; Accepted 13 October 2016

Academic Editor: Mehmet Onder Efe

Copyright © 2016 Mohammad Heidari. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


This paper presents the establishing of a biconvex fuzzy variational (BFV) method with teaching learning based optimization (TLBO) for geometric image segmentation (GIS). Firstly, a biconvex object function is adopted to process GIS. Then, TLBO is introduced to maximally optimize the length penalty item (LPI), which will be changed under teaching and learner phase of TLBO, making the LPI closer to the target boundary. Afterward, the LPI can be adjusted based on fitness function, namely, the evaluation standards of image quality. Finally, the LP is combined item with the numerical order to get better results. Different GIS strategies are compared with various fitness functions in terms of accuracy. Simulations show that the presented method is more effective in this area.