meijering(image, sigmas=range(1, 10, 2), alpha=None, black_ridges=True, mode='reflect', cval=0)
This filter can be used to detect continuous ridges, e.g. neurites, wrinkles, rivers. It can be used to calculate the fraction of the whole image containing such objects.
Calculates the eigenvectors of the Hessian to compute the similarity of an image region to neurites, according to the method described in .
Array with input image data.
Sigmas used as scales of filter
Frangi correction constant that adjusts the filter's sensitivity to deviation from a plate-like structure.
When True (the default), the filter detects black ridges; when False, it detects white ridges.
How to handle values outside the image borders.
Used in conjunction with mode 'constant', the value outside the image boundaries.
Filtered image (maximum of pixels across all scales).
Filter an image with the Meijering neuriteness filter.
The following pages refer to to this document either explicitly or contain code examples using this.
skimage.filters.ridges.frangi
skimage.filters.ridges.hessian
skimage.filters.ridges.sato
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