Globally optimal regions and boundaries

Ian H. Jermyn, Hiroshi Ishikawa

研究成果: Paper査読

26 被引用数 (Scopus)

抄録

We propose a new form of energy functional for the segmentation of regions in images, and an efficient method for finding its global optima. The energy can have contributions from both the region and its boundary, thus combining the best features of region- and boundary-based approaches to segmentation. By transforming the region energy into a boundary energy, we can treat both contributions on an equal footing, and solve the global optimization problem as a minimum mean weight cycle problem on a directed graph. The simple, polynomial-time algorithm requires no initialization and is highly parallelizable.

本文言語English
ページ904-910
ページ数7
出版ステータスPublished - 1999 12 1
外部発表はい
イベントProceedings of the 1999 7th IEEE International Conference on Computer Vision (ICCV'99) - Kerkyra, Greece
継続期間: 1999 9 201999 9 27

Other

OtherProceedings of the 1999 7th IEEE International Conference on Computer Vision (ICCV'99)
CityKerkyra, Greece
Period99/9/2099/9/27

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition

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