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Based on the clonal selection theory of artificial immune system, a novel optimal entropy threshold medical image segmentation method is proposed, in which, the affinity function is the optimal entropy threshold, and the medical image segmentation is considered as a optimization problem, clonal operator effectively enlarges searching range, supplies the diversity of solutions and can find the optimal...
The conventional two-dimensional (2-D) entropic thresholding is time consuming due to the exhaustive search in 2-D space. An improved 2-D entropic thresholding method based on ant colony genetic algorithm is proposed. This method extends ant colony genetic algorithm to 2-D discrete space optimization and includes the conventional 2-D entropic thresholding method. In this method, the ant is at the...
A new algorithm for adaptive threshold segmentation based on combining Fisher criterion with location optimization is proposed in this paper. Fisher criterion is taking as the fitness function of Genetic Algorithm (GA), and an adaptive method which is used to calculate crossover probability and mutation probability is presented. Meanwhile, we add a new local optimization operator that solves the disadvantages...
Image segmentation is a long-term difficult problem, which hasnpsilat been fully solved. Thresholding is one of the most popular algorithms. Particle swarm optimization (PSO) was recently proposed algorithm, which has been successfully applied to solve many optimization problems. Based on the analysis of Otsu threshold selection can be viewed as a continuous optimization problem. Thus, a new method...
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