Automatic Prior Shape Selection for Image Segmentation

Guo W., Qin J., TARI Z. S.

Research in Shape Modeling, Los-Angeles, Chile, 01 July 2013, vol.1, pp.1-8 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 1
  • Doi Number: 10.1007/978-3-319-16348-2_1
  • City: Los-Angeles
  • Country: Chile
  • Page Numbers: pp.1-8
  • Middle East Technical University Affiliated: Yes


Segmenting images with occluded and missing intensity information is still a difficult task. Intensity based segmentation approaches often lead to wrong results. High vision prior information such as prior shape has been proven to be effective in solving this problem. Most existing shape prior approaches assume known prior shape and segmentation results rely on the selection of prior shape. In this paper, we study how to do simultaneous automatic prior shape selection and segmentation in a variational scheme.