0-PhP/dZddlZddlmZddlmZmZddl m Z dZ e ddd d Z e ddd d Z e ddd d Ze ddd d ZdS)z! Binary morphological operations N)ndimage)_footprint_is_sequence pad_footprint)default_footprintc|d\}}|||||||ddD]'\}}||||||(|S)zHelper to call `binary_func` for each footprint in a sequence. binary_func is a binary morphology function that accepts "structure", "output" and "iterations" keyword arguments (e.g. `scipy.ndimage.binary_erosion`). r) structureoutput iterations border_valuerN)copy) binary_funcimage footprintoutr fpnum_iters Y/var/www/html/test/jupyter/venv/lib/python3.11/site-packages/skimage/morphology/binary.py_iterate_binary_funcr sQmaxminrunsupported mode, got rFTpad_endrrrrrr ) npemptyshapebool ValueErrorrrrndibinary_erosionrrrrr s rr)r)'sx {hu{$/// +++:$::;;; EMM55tLi666I !) , ,%^$ & !    C Jrc| tj|jt}|dvrt d||dkrdnd}t |d}t |s|d fg}ttj |||| }|S) aX Return fast binary morphological dilation of an image. This function returns the same result as grayscale dilation but performs faster for binary images. Morphological dilation sets a pixel at ``(i,j)`` to the maximum over all pixels in the neighborhood centered at ``(i,j)``. Dilation enlarges bright regions and shrinks dark regions. Parameters ---------- image : ndarray Binary input image. footprint : ndarray or tuple, optional The neighborhood expressed as a 2-D array of 1's and 0's. If None, use a cross-shaped footprint (connectivity=1). The footprint can also be provided as a sequence of smaller footprints as described in the notes below. out : ndarray of bool, optional The array to store the result of the morphology. If None is passed, a new array will be allocated. mode : str, optional The `mode` parameter determines how the array borders are handled. Valid modes are: 'max', 'min', 'ignore'. If 'min' or 'ignore', pixels outside the image domain are assumed to be `False`, which causes them to not influence the result. Default is 'ignore'. .. versionadded:: 0.23 `mode` was added in 0.23. Returns ------- dilated : ndarray of bool or uint The result of the morphological dilation with values in ``[False, True]``. Notes ----- The footprint can also be a provided as a sequence of 2-tuples where the first element of each 2-tuple is a footprint ndarray and the second element is an integer describing the number of times it should be iterated. For example ``footprint=[(np.ones((9, 1)), 1), (np.ones((1, 9)), 1)]`` would apply a 9x1 footprint followed by a 1x9 footprint resulting in a net effect that is the same as ``footprint=np.ones((9, 9))``, but with lower computational cost. Most of the builtin footprints such as :func:`skimage.morphology.disk` provide an option to automatically generate a footprint sequence of this type. For non-symmetric footprints, :func:`skimage.morphology.binary_dilation` and :func:`skimage.morphology.dilation` produce an output that differs: `binary_dilation` mirrors the footprint, whereas `dilation` does not. See also -------- skimage.morphology.isotropic_dilation Nr>rrrrrTFr rr") r#r$r%r&r'rrrr(binary_dilationr*s rr,r,xsx {hu{$/// +++:$::;;;5==44eLi666I !) , ,%^$ ' !    C JrcPt|||}t||||}|S)aReturn fast binary morphological opening of an image. This function returns the same result as grayscale opening but performs faster for binary images. The morphological opening on an image is defined as an erosion followed by a dilation. Opening can remove small bright spots (i.e. "salt") and connect small dark cracks. This tends to "open" up (dark) gaps between (bright) features. Parameters ---------- image : ndarray Binary input image. footprint : ndarray or tuple, optional The neighborhood expressed as a 2-D array of 1's and 0's. If None, use a cross-shaped footprint (connectivity=1). The footprint can also be provided as a sequence of smaller footprints as described in the notes below. out : ndarray of bool, optional The array to store the result of the morphology. If None is passed, a new array will be allocated. mode : str, optional The `mode` parameter determines how the array borders are handled. Valid modes are: 'max', 'min', 'ignore'. If 'ignore', pixels outside the image domain are assumed to be `True` for the erosion and `False` for the dilation, which causes them to not influence the result. Default is 'ignore'. .. versionadded:: 0.23 `mode` was added in 0.23. Returns ------- opening : ndarray of bool The result of the morphological opening. Notes ----- The footprint can also be a provided as a sequence of 2-tuples where the first element of each 2-tuple is a footprint ndarray and the second element is an integer describing the number of times it should be iterated. For example ``footprint=[(np.ones((9, 1)), 1), (np.ones((1, 9)), 1)]`` would apply a 9x1 footprint followed by a 1x9 footprint resulting in a net effect that is the same as ``footprint=np.ones((9, 9))``, but with lower computational cost. Most of the builtin footprints such as :func:`skimage.morphology.disk` provide an option to automatically generate a footprint sequence of this type. See also -------- skimage.morphology.isotropic_opening rrr)r)r,rrrrtmps rbinary_openingr1s4p   5 5 5C #yc = = =C JrcPt|||}t||||}|S)aReturn fast binary morphological closing of an image. This function returns the same result as grayscale closing but performs faster for binary images. The morphological closing on an image is defined as a dilation followed by an erosion. Closing can remove small dark spots (i.e. "pepper") and connect small bright cracks. This tends to "close" up (dark) gaps between (bright) features. Parameters ---------- image : ndarray Binary input image. footprint : ndarray or tuple, optional The neighborhood expressed as a 2-D array of 1's and 0's. If None, use a cross-shaped footprint (connectivity=1). The footprint can also be provided as a sequence of smaller footprints as described in the notes below. out : ndarray of bool, optional The array to store the result of the morphology. If None, is passed, a new array will be allocated. mode : str, optional The `mode` parameter determines how the array borders are handled. Valid modes are: 'max', 'min', 'ignore'. If 'ignore', pixels outside the image domain are assumed to be `True` for the erosion and `False` for the dilation, which causes them to not influence the result. Default is 'ignore'. .. versionadded:: 0.23 `mode` was added in 0.23. Returns ------- closing : ndarray of bool The result of the morphological closing. Notes ----- The footprint can also be a provided as a sequence of 2-tuples where the first element of each 2-tuple is a footprint ndarray and the second element is an integer describing the number of times it should be iterated. For example ``footprint=[(np.ones((9, 1)), 1), (np.ones((1, 9)), 1)]`` would apply a 9x1 footprint followed by a 1x9 footprint resulting in a net effect that is the same as ``footprint=np.ones((9, 9))``, but with lower computational cost. Most of the builtin footprints such as :func:`skimage.morphology.disk` provide an option to automatically generate a footprint sequence of this type. See also -------- skimage.morphology.isotropic_closing rr.)r,r)r/s rbinary_closingr3s4p % 6 6 6C iSt < < r:s5 ========######6MHMMMMM`MXMMMMM`9H99999x9H9999999r