Distance Transform Functions

This section describes the distance transform functions.

Distance transform is used for calculating the distance to an object. The input is an image with feature and non-feature pixels. The function labels every non-feature pixel in the output image with a distance to the closest feature pixel. Feature pixels are marked with zero.

Distance transform is used for a wide variety of subjects including skeleton finding and shape analysis.

• DistanceTransform
  Calculates distance to the closest zero pixel for all non-zero pixels of source image.
• GetDistanceTransformMask
  Returns an optimal mask for a given type of metrics and given mask size.
• TrueDistanceTransformGetBufferSize
  Calculates the size of the temporary working buffer for the function ippiTrueDistanceTransform.
• TrueDistanceTransform
  Calculates the Eucledian distance to the closest zero pixel for all non-zero pixels of the source image.
• FastMarchingGetBufferSize
  Computes the size of the working buffer for the peak search.
• FastMarching
  Calculates distance transform to closest zero pixel for all non-zero pixels of source image using fast marching method.

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