Computer Science – Computer Vision and Pattern Recognition
Scientific paper
2008-05-13
Computer Science
Computer Vision and Pattern Recognition
Scientific paper
This paper proposes a novel algorithm for the problem of structural image segmentation through an interactive model-based approach. Interaction is expressed in the model creation, which is done according to user traces drawn over a given input image. Both model and input are then represented by means of attributed relational graphs derived on the fly. Appearance features are taken into account as object attributes and structural properties are expressed as relational attributes. To cope with possible topological differences between both graphs, a new structure called the deformation graph is introduced. The segmentation process corresponds to finding a labelling of the input graph that minimizes the deformations introduced in the model when it is updated with input information. This approach has shown to be faster than other segmentation methods, with competitive output quality. Therefore, the method solves the problem of multiple label segmentation in an efficient way. Encouraging results on both natural and target-specific color images, as well as examples showing the reusability of the model, are presented and discussed.
Bloch Isabelle
Cesar-Jr Roberto M.
Consularo Luis Augusto
Graciano Ana B. V.
Noma Alexandre
No associations
LandOfFree
A New Algorithm for Interactive Structural Image Segmentation does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with A New Algorithm for Interactive Structural Image Segmentation, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A New Algorithm for Interactive Structural Image Segmentation will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-472523