Difference between revisions of "Projects:ShapeBasedLevelSetSegmentation"
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This class of algorithms explicitly manipulates the representation of the object boundary to fit the strong gradients in the image, indicative of the object outline. Bias in the boundary evolution towards the likely shapes improves the robustness of the segmentation results when the intensity information alone is insufficient for boundary detection. | This class of algorithms explicitly manipulates the representation of the object boundary to fit the strong gradients in the image, indicative of the object outline. Bias in the boundary evolution towards the likely shapes improves the robustness of the segmentation results when the intensity information alone is insufficient for boundary detection. | ||
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Already in ITK. | Already in ITK. | ||
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= Publications = | = Publications = | ||
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| − | = | + | * [http://www.na-mic.org/Special:Publications?text=Projects%3AShapeBasedLevelSetSegmentation&submit=Search&words=all&title=checked&keywords=checked&authors=checked&abstract=checked&sponsors=checked&searchbytag=checked| NA-MIC Publications Database] |
Revision as of 21:32, 22 December 2007
Home < Projects:ShapeBasedLevelSetSegmentationBack to MIT Algorithms
This class of algorithms explicitly manipulates the representation of the object boundary to fit the strong gradients in the image, indicative of the object outline. Bias in the boundary evolution towards the likely shapes improves the robustness of the segmentation results when the intensity information alone is insufficient for boundary detection.
Already in ITK.
Publications
In Print
