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.
|Number of pages||7|
|Journal||Proceedings of the IEEE International Conference on Computer Vision|
|Publication status||Published - 1999|
|Event||Proceedings of the 1999 7th IEEE International Conference on Computer Vision (ICCV'99) - Kerkyra, Greece|
Duration: 1999 Sept 20 → 1999 Sept 27
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition