MedicalVisualization
Gradient vs Sobel Operator
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The central differences method does only take 6 of the surrounding 26 voxels into account.
The so called Sobel operator applies the central differences method to the entire neighborhood, resulting in a smoother change of the normal across voxel boundaries:
Left: Central Differences, Right: Sobel Operator
Hinweis: Üblicherweise Vorberechnung des Sobel-Operators für alle Voxel, dies belegt jedoch 3 Byte Speicherplatz zusätzlich zu den 2 Bytes des Volumens (16-bit).
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