首页    期刊浏览 2024年09月21日 星期六
登录注册

文章基本信息

  • 标题:SEGMENTATION OF OIL SPILL IMAGES USING IMPROVED FCM AND LEVEL SET METHODS.
  • 本地全文:下载
  • 作者:V.RADHIKA ; DR. G. PADMAVATHI
  • 期刊名称:International Journal on Computer Science and Engineering
  • 印刷版ISSN:2229-5631
  • 电子版ISSN:0975-3397
  • 出版年度:2011
  • 卷号:3
  • 期号:7
  • 页码:2786-2791
  • 出版社:Engg Journals Publications
  • 摘要:The main part of image processing and computer vision is Image segmentation. Image segmentation is the task of splitting a digital image into one or more regions of interest. In this paper a robust method for oil spill SAR image segmentation is explored which is already used for medical images by Bing Nan li et al. The unique FCMalgorithm yields better results for segmenting noise free images, but it fails to segment images degraded by noise, outliers and other imaging defects. The optimization property of FCM is improved when it is combined with spatial information (SFCM). Level set methods uses dynamic variational boundaries for an image segmentation which embeds the time dependant PDE function. In this paper, an integrated method of spatial based FCM and level set method for oil spill segmentation is discussed.
  • 关键词:SFCM; PDE; Level Set; SAR; Oil Spill; Segmentation
国家哲学社会科学文献中心版权所有