Multilevel minimum cross entropy threshold selection based on the honey bee mating optimization
Expert Systems with Applications: An International Journal
Multilevel minimum cross entropy threshold selection based on the firefly algorithm
Expert Systems with Applications: An International Journal
Multi-level image thresholding by synergetic differential evolution
Applied Soft Computing
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Image segmentation is a long-term difficult problem, which hasn’t 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 to select image threshold automatically based on PSO algorithm is employed in the paper. The performance of this algorithm is compared with Otsu, and experimental results show that PSO algorithm can reveal very encouraging results in terms of the quality of solution found and the processing time required.