An Ef fi cient Multi Level Thresholding 2 Method for Image Segmentation Based 3 on the Hybridization of Modi fi ed PSO 4 and Otsu ’ s Method
نویسندگان
چکیده
8 used in many application fields such as medical image analysis to characterize and 9 detect anatomical structures, robotics features extraction for mobile robot locali10 zation and detection and map procession for lines and legends finding. Many 11 techniques have been developed in the field of image segmentation. Methods based 12 on intelligent techniques are the most used such as Genetic Algorithm (GA), Ant 13 Colony Optimization (ACO), Artificial Bee Colony (ABC), and Particle Swarm 14 Optimization (PSO) called metaheuristics algorithms. In this paper, we describe a 15 novel method for segmentation of images based on one of the most popular and
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