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Title:

Model-Based Image Segmentation Using Local Self-Adapting Separation Criteria

Document type:
Technical Report
Author(s):
Robert Hanek
Abstract:
In this paper we address the problem of model-based image segmentation by fitting deformable models to the image data. From uncertain a priori knowledge of the model parameters an initial probability distribution of the model edge in the image is obtained. >From the vicinity of the surmised edge local statistics are learned for both sides of the edge. These local statistics provide locally adapted criteria to distinguish the two sides of the edge even in the presence of spatially changing proper...     »
Keywords:
image segmentation; deformable models; automatic scale selection; color; texture; image cue integration
Year:
2001
Year / month:
2001-09-01 00:00:00
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