Multilevel Image Thresholding Selection Using the Modified Seeker Optimization Algorithm
نویسندگان
چکیده
Multilevel thresholding is one of the most popular image segmentation techniques. This paper presents a new multilevel maximum entropy thresholding method based on modified seeker optimization (MSO) algorithm. In the proposed method the thresholding problem is treated as an optimization problem and solved by using the MSO metaheuristics. Particle swarm optimization (PSO) algorithm is also implemented for comparison with the results of the proposed method. Both algorithms were tested on four sample images. Experimental results show that the MSO algorithm performs better than PSO algorithm with respect to the quality of the segmentation results, while in term of execution time the PSO is more efficient than MSO. Key-Words: Maximum entropy thresholding, Image thresholding, Seeker optimization algorithm, Particle swarm optimization, Swarm intelligence
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