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Comparing 3-D Interpolation Methods Binu Enchakalody January, 12 2010
Interpolation Methods ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Methods ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Tri-Linear  Weights an interpolated intensity value, based on the distance from the nearest x,y and z pixels within a 2 x 2 x 2 neighborhood   Nearest Neighbor Picks the intensity of the nearest x,y and z   pixel within a 2 x 2 x 2 neighborhood
Piecewise-Cubic  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Piecewise Cubic-Spline ,[object Object],[object Object],[object Object],[object Object],General Equation
Piecewise Cubic-Spline ,[object Object],[object Object],[object Object]
Calculating Control Points, C Parallel Algorithm A parallel B-Spline fitting algorithm  – F.Cheng, A. Gosthashby
Original –  Volume   Center slice
Nearest Neighbour
Tri-Linear
Cubic-Keys
Catmull-Rom Spline
Clamped-Cubic Spline
B-spline
Analysis ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Error analysis on test matrix, after 6 rotations of 60 °   - along Z-axis (top), along X-axis (bottom)
Approx. computation time@ rotation(MATLAB profiler)

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Comparing 3-D Interpolation Techniques