摘要
目前聚类技术已成为图像处理,计算机视觉,模式识别等研究邻域的重要方法。本文在群体智能理论和聚类算法的基础上,提出了一种基于蚁群聚类算法的图像分割方法。实验表明,该方法能够较好的分割图像,具有较好的聚类效果。
Today clustering has become a important method in investigation of many field, especially image processing, computer vision, pattern recognition. In this paper, A new image segmentation is provided, which is based on the theory of swarm Intelligence and existed ant colony-clustering algorithm. According to experimental results, it is a effective clustering method in image segmentation.
出处
《科技视界》
2013年第25期50-51,37,共3页
Science & Technology Vision
基金
江西省教育厅科技项目(GJJ12642)
关键词
图像分割
群体智能
蚁群算法
聚类
Image segmentation
Swarm Intelligence
Ant colony algorithm
Clustering
