首页    期刊浏览 2024年11月26日 星期二
登录注册

文章基本信息

  • 标题:Image Segmentation using High Resolution Multispectral Satellite Imagery implemented by FCM Clustering Techniques
  • 本地全文:下载
  • 作者:Capt. S Santhosh Baboo ; S Thirunavukkarasu
  • 期刊名称:International Journal of Computer Science Issues
  • 印刷版ISSN:1694-0784
  • 电子版ISSN:1694-0814
  • 出版年度:2014
  • 卷号:11
  • 期号:3
  • 出版社:IJCSI Press
  • 摘要:Satellite Image segmentation has a most important role to play in the field of remote sensing imaging, for effectively detecting the Surface of the Earth. However more satellite image segmentation techniques are available. This paper work presents an image segmentation based on color feature with unsupervised FCM Algorithm, which yields better results. The entire work is divided into two stages, first one to enhance the color separation of satellite imagery using color transformation. Another step to process the regions is grouped into a set of FCM clustering algorithm. Finally, the performance of the proposed scheme is calculated visually and quantitatively. The results show that the proposed method can be used for segmentation and also enhances the future research with the image quality for imagery
  • 关键词:FCM; Remote Sensing; Cluster; Pixels; Imagery; Segmentation
国家哲学社会科学文献中心版权所有