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
[source]¶ 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