morpho_utilities

Wrappers over morphological functions.

Yayi.morpho_utilities.MClose(im, size=1, se=<YayiStructuringElementPython.StructuringElement object at 0x111690d00>)

Closes of the input image with se as structuring element. Homothetic dilation/erosion is used if size > 1.

Yayi.morpho_utilities.MDilate(im, size=1, se=<YayiStructuringElementPython.StructuringElement object at 0x111690d00>)

Dilates im with the structuring element se.

Parameters:

• im (image) – input image to dilate
• size (integer) – the size of the dilation.
• se (structuring-element) – the structuring element used for the dilation.

Note

This operation is homothetic if size > 1.

Yayi.morpho_utilities.MErode(im, size=1, se=<YayiStructuringElementPython.StructuringElement object at 0x111690d00>)

Erodes im with the structuring element se.

Note

This operation is homothetic if size > 1.

Yayi.morpho_utilities.MInf(im1, im2)

Computes the infimum (value intersection) of two images

\[\forall p \in \mathcal{D}(im_1) \cap \mathcal{D}(im_2), im_o(p) = im_1(p) \wedge im_2(p)\]

Yayi.morpho_utilities.MOpen(im, size=1, se=<YayiStructuringElementPython.StructuringElement object at 0x111690d00>)

Opens of the input image with se as structuring element. Homothetic dilation/erosion is used if size > 1.

Yayi.morpho_utilities.MSup(im1, im2)

Computes the supremum (value union) of two images.

\[\forall p \in \mathcal{D}(im_1) \cap \mathcal{D}(im_2), im_o(p) = im_1(p) \vee im_2(p)\]

Yayi.morpho_utilities.MWatershed(imIn, nl=<YayiStructuringElementPython.StructuringElement object at 0x111690d00>)

Thick version of the watershed

Yayi.morpho_utilities.MWatershedCons(imIn, mk, nl=<YayiStructuringElementPython.StructuringElement object at 0x111690d00>)

Thick version of the constrained watershed