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In this paper, a novel framework for brain MRI threshold segmentation based on multi-objective model is proposed. Two classical techniques named Otsu's method (OTSU) and maximum entropy method (MET) are selected as the objective function based on their opposite characteristics when processing brain MRI with different levels of noise and bias field. The proposed method aims at finding trade-off solutions...
Penalty functions are frequently used for dealing with constraints in constrained optimization. Among different types of penalty functions, dynamic and adaptive penalty functions seem effective, since the penalty coefficients in them are adjusted based on the current generation number (or number of solutions searched) and feedback from the search. In this paper, we propose dynamic and adaptive versions...
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