基于智能聚类技术的图像分割

Subarna Sinha, S. Deb
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引用次数: 2

摘要

基于聚类技术的图像分割仍然是一个具有挑战性的任务。聚类的目的是生成同构的数据组。在本文中,我们提出了仿生配方来执行图像分割。具体来说,我们使用了Bird flocking算法,该算法使用了一群代理的概念,例如,鸟类以简单的局部规则以复杂的方式一起移动。每只鸟代表一个数据,移动的目的是在二维环境中创建同质的数据组,产生可用于解决特定计算问题的空间分布。这些特征已被用于解决图像分割任务,即优化图像数据划分为均匀区域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Image segmentation by intelligent clustering technique
Image segmentation based on clustering techniques still remains a challenging task. The aim of clustering is to generate homogeneous groups of data. In this paper, we present bio-inspired formulation to perform image segmentation. Specifically, we used the Bird flocking algorithm that uses the concepts of a flock of agents, e.g. birds moving together in a complex manner with simple local rules. Each bird representing one data, move with the aim of creating homogeneous groups of data in a two dimensional environment producing a spatial distribution that can be used to solve a particular computational problem. These characteristics have been used to solve the task of segmentation of images which optimize the partition of image data into homogenous regions.
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