python-scipyHow can I use Python and SciPy to apply a Gaussian filter?
Using Python and SciPy, a Gaussian filter can be applied to an image. To do this, the scipy.ndimage.filters.gaussian_filter
function can be used. For example, the following code will apply a Gaussian filter to an image, where img
is the image array and sigma
is the standard deviation for the Gaussian kernel:
from scipy.ndimage.filters import gaussian_filter
filtered_img = gaussian_filter(img, sigma=sigma)
The parts of the code are as follows:
from scipy.ndimage.filters import gaussian_filter
imports thegaussian_filter
function from SciPy.gaussian_filter(img, sigma=sigma)
applies the Gaussian filter to the image arrayimg
with standard deviationsigma
.filtered_img
is the filtered image array.
Helpful links
More of Python Scipy
- How do I create a 2D array of zeros using Python and NumPy?
- How can I use Python and SciPy to find the zeros of a function?
- How do I create a numpy array of zeros using Python?
- How do I use the trapz function in Python SciPy?
- How do I convert a Python numpy.ndarray to a list?
- How do I use Python Scipy to perform a Z test?
- How can I use Python and Numpy to parse XML data?
- How do I create a numpy array of zeros using Python?
- How do I use the scipy ttest_ind function in Python?
- How do I calculate a Jacobian matrix using Python and NumPy?
See more codes...