match_histograms

tiatoolbox . tools . registration . wsi_registration . match_histograms

match_histograms(image_a, image_b, kernel_size=7)

Image normalization function.

This function performs histogram equalization to unify the appearance of an image pair.

Parameters:

• image_a (numpy.ndarray) – A grayscale image.

• image_b (numpy.ndarray) – A grayscale image.

• kernel_size (int) – The size of the ellipse-shaped footprint.

Returns:

A normalized pair of images for performing registration.

• numpy.ndarray - A normalized grayscale image.

• numpy.ndarray - A normalized grayscale image.

Return type:

tuple

Examples

>>> from tiatoolbox.tools.registration.wsi_registration import match_histograms
>>> norm_image_a, norm_image_b = match_histograms(gray_image_a, gray_image_b)