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Color Image Segmentation Research Based on Improved GSA
Author(s): 
Pages: 39-42
Year: Issue:  13
Journal: Video Engineering

Keyword:  GSAunsupervisedimage segmentationregion growing;
Abstract: 提出了一种基于改进的GSA(Gravitational Search Algorithm)无监督彩色图像分割方法.在GSA的基础上,采用了改进的欧氏距离,引入了像素分离过程,并给出了像素分离条件的最小速度.首先像素点的移动采用改进的欧氏距离进行GSA搜索;然后进行区域生长,合并相同性质的像素;最后达到一定速率的部分像素点从聚类中分离出来.实验结果表明,与传统C均值聚类算法和GSA算法相比,该方法在复杂场景图像中具有更好的分割效果.
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