histo_kit.utils.matlab2python

Functions

get_strel_disk(radius)	Generate a disk-shaped structuring element (SE) with the given radius.
get_wsi_ind_matlab(path)	Get indices of WSI image layers, following MATLAB's iminfo convention.
list2cell(list_obj)	Convert a Python list to a NumPy array of objects.

histo_kit.utils.matlab2python.get_strel_disk(radius)

Generate a disk-shaped structuring element (SE) with the given radius.

There are small differences compared to MATLAB’s strel(‘disk’). This implementation was tested for radius values: 3, 4, 5, 7, 8, 9. It gives the same result as MATLAB for 3, 5, and 9, but for 4, 7, and 8 there are minor differences at the corners. The discrepancy arises because MATLAB uses a radial decomposition of the disk, while this function does not.

Parameters:

radius (int) – Radius of the disk.

Returns:

SE – Structuring element representing the disk. True values correspond to pixels inside the disk.

Return type:

ndarray of bool, shape (2*radius-1, 2*radius-1)

Notes

Special case for radius=2 is hard-coded for exact shape.

histo_kit.utils.matlab2python.get_wsi_ind_matlab(path)

Get indices of WSI image layers, following MATLAB’s iminfo convention.

Parameters:

path (str) – Path to the SVS file containing the WSI image.

Returns:

indices – Indices of WSI image layers in MATLAB convention (starting from 1).

Return type:

list of int

Notes

• The function converts layer indices to start from 1 to match MATLAB behavior.

histo_kit.utils.matlab2python.list2cell(list_obj)

Convert a Python list to a NumPy array of objects.

Parameters:

list_obj (list) – List of objects to convert.

Returns:

cell – NumPy array containing the same objects as in the input list.

Return type:

ndarray of object, shape (len(list_obj),)

Notes

• Each element in the list is preserved as-is in the array.

• Useful for interoperability with code expecting NumPy arrays of objects.