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Color Image Segmentation based on Self-organizing Maps

机译:基于自组织图的彩色图像分割

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The colony intellectual behavior performed by many organisms in nature can solve various kinds of problems on scientific and technological research. Bees are a socialized insect colony, which perform different types of activities according to their different divisions of labor, and achieve information sharing and exchanges among the bee colony to find the optimal solution for problems. According to this characteristic, researchers have proposed the algorithm of bee colony for solving combinatorial optimization problems. In this paper, it will describe the implementation process of such an image segmentation algorithm, and the result shows that this method is a potential image segmentation algorithm.
机译:自然界中许多有机体所表现出的殖民地智力行为可以解决科学技术研究中的各种问题。蜜蜂是一个社会化的昆虫群落,根据其不同的分工进行不同类型的活动,并在蜂群之间实现信息共享和交换,从而找到解决问题的最佳方法。根据这一特点,研究人员提出了蜂群算法来解决组合优化问题。本文将描述这种图像分割算法的实现过程,结果表明该方法是一种潜在的图像分割算法。

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