| Title: | Image Segmentation with Context |
| Fulltext: |  |
| Authors: | Eriksson, Anders and Olsson, Carl and Kahl, Fredrik |
| Year: | 2007 |
| Document Type: | Conference Paper |
| Conference: | Scandinavian Conference on Image Analysis |
| Conference location: | Aalborg, Denmark |
| Status: | Published |
| Refereed: | Yes |
| Keywords: | globalvision, ffl, vinst |
| BibTeX item: |  |
| Abstract: | We present a technique for simultaneous segmentation
and classification of image partitions using
combinatorial optimization techniques. By combining existing
image segmentation approaches with simple learning techniques
we show how prior knowledge can be incorporated into the visual grouping
process through the formulation of a quadratic binary optimization problem.
We further show how such to efficiently solve such problems through
relaxation techniques and trust region methods.
This has resulted in an method that partitions images into a number
of disjoint regions based on previously learned example segmentations.
Preliminary experimental results are also presented in support of our suggested approach.
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