Filter Image, Dual Output¶
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
- Input ports:
source : image
source image to filter- Output ports:
resultA : image
result after filteringresultB : image
result after filtering- Configuration:
- Algorithm (algorithm)
- (no description)
- n (n)
- (no description)
- sigma (sigma)
- (no description)
- threshold (threshold)
- (no description)
Some of the docstrings for this module have been extracted from the scikit-image library and are covered by their respective licenses.