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  • 标题:3D Surface Analysis and Classification in Neuroimaging Segmentation
  • 本地全文:下载
  • 作者:Žagar, Martin ; Mlinarić, Hrvoje ; Knezović, Josip
  • 期刊名称:Collegium Antropologicum
  • 印刷版ISSN:0350-6134
  • 出版年度:2011
  • 卷号:35
  • 期号:2
  • 页码:487-498
  • 出版社:Hrvatsko antropološko društvo
  • 摘要:This work emphasizes new algorithms for 3D edge and corner detection used in surface extraction and new concept of image segmentation in neuroimaging based on multidimensional shape analysis and classification. We propose using of NifTI standard for describing input data which enables interoperability and enhancement of existing computing tools used widely in neuroimaging research. In methods section we present our newly developed algorithm for 3D edge and corner detection, together with the algorithm for estimating local 3D shape. Surface of estimated shape is analyzed and segmented according to kernel shapes.
  • 关键词:NIfTI; shape estimation; Canny detector; surface extraction; neuroimage segmentation
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