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  • 标题:Automatic Image Segmentation method based on ALG
  • 本地全文:下载
  • 作者:Christo Ananth ; G.Gayathri ; I.Uma Sankari
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2014
  • 卷号:2
  • 期号:4
  • 出版社:S&S Publications
  • 摘要:An automatic anatomy segmentation method is proposed which effectively combines the ActiveAppearance Model, Live Wire and Graph Cut (ALG) ideas to exploit their complementary strengths. It consists of threemain parts: model building, initialization, and delineation. For the initialization (recognition) part, a pseudo strategy isemployed and the organs are segmented slice by slice via the OAAM (Oriented Active Appearance method). Thepurpose of initialization is to provide rough object localization and shape constraints for a latter GC method, which willproduce refined delineation. It is better to have a fast and robust method than a slow and more accurate technique forinitialization. One of the strengths of the proposed method is to segment the organ during the process of manuallydelineating the boundaries. For single-object segmentation, global optimality is guaranteed.
  • 关键词:Active Appearance model; Oriented Active Appearance Model; Live Wire method; Graph cut method
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