Multi - Scale Gradient Magnitude
نویسندگان
چکیده
A partitioning of an nD image is deened as the watersheds of some locally computable inhomogeneity measure. Dependent on the scale of the inhomogeneity measure a coarse or ne partitioning is deened. By analysis of the structural changes (catastrophes) in the measure introduced when scale is increased, an multi-scale linking of segments can be deened. This paper describes the multi-scale linking based on recent results of the deep structure of the squared gradient eldd1]. An interactive semi-automatic segmentation tool is described and results on synthetic and real 3D medical images are presented.
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