Filter Image, Dual Output

Some of the docstrings for this module have been extracted from the scikit-image library and are covered by their respective licenses.

class node_filtering.ImageFiltering2

Filters one image using algorithms with two images as output

Algorithms:

• corner_foerstner

  Computes Foerstner corner measure response images. Outputs error eclipse sizes (top) and roundness or error eclipse (bottom).

  sigma:

  Standard deviation of gaussian kernel (default 1.0)

• hessian eigenvalues

  Computes the eigenvalues of the hessian matrix for each pixel. Returns larger eigenvalue in first output image and smaller in second

  sigma:

  Standard deviation of gaussian kernel (default 3.0) used for calculating Hessian.

  Approximation is not reliable for sigma < 3.0

Inputs:

source : image

source image to filter

Outputs:

resultA : image

result after filtering

resultB : image

result after filtering