skimage2.segmentation.inverse_gaussian_gradient#
- skimage2.segmentation.inverse_gaussian_gradient(image, alpha=100.0, sigma=5.0)[source]#
Inverse of gradient magnitude.
Compute the magnitude of the gradients in the image and then inverts the result in the range [0, 1]. Flat areas are assigned values close to 1, while areas close to borders are assigned values close to 0.
This function or a similar one defined by the user should be applied over the image as a preprocessing step before calling
morphological_geodesic_active_contour.- Parameters:
- image(M, N) or (L, M, N) array
Grayscale image or volume.
- alphafloat, optional
Controls the steepness of the inversion. A larger value will make the transition between the flat areas and border areas steeper in the resulting array.
- sigmafloat, optional
Standard deviation of the Gaussian filter applied over the image.
- Returns:
- gimage(M, N) or (L, M, N) array
Preprocessed image (or volume) suitable for
morphological_geodesic_active_contour.
