\c@sdZddlZddlmZddlmZedddZ edddZ edddZ eddd Z dS( s! Binary morphological operations iN(tndimagei(t default_selemcCsM|dkr*tj|jdtj}ntj|d|d|dt|S(sReturn fast binary morphological erosion of an image. This function returns the same result as greyscale erosion but performs faster for binary images. Morphological erosion sets a pixel at ``(i,j)`` to the minimum over all pixels in the neighborhood centered at ``(i,j)``. Erosion shrinks bright regions and enlarges dark regions. Parameters ---------- image : ndarray Binary input image. selem : ndarray, optional The neighborhood expressed as a 2-D array of 1's and 0's. If None, use cross-shaped structuring element (connectivity=1). out : ndarray of bool, optional The array to store the result of the morphology. If None is passed, a new array will be allocated. Returns ------- eroded : ndarray of bool or uint The result of the morphological erosion taking values in ``[False, True]``. tdtypet structuretoutputt border_valueN(tNonetnptemptytshapetbooltnditbinary_erosiontTrue(timagetselemtout((s8lib/python2.7/site-packages/skimage/morphology/binary.pyR s cCsG|dkr*tj|jdtj}ntj|d|d||S(sReturn fast binary morphological dilation of an image. This function returns the same result as greyscale 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. selem : ndarray, optional The neighborhood expressed as a 2-D array of 1's and 0's. If None, use cross-shaped structuring element (connectivity=1). out : ndarray of bool, optional The array to store the result of the morphology. If None, is passed, a new array will be allocated. Returns ------- dilated : ndarray of bool or uint The result of the morphological dilation with values in ``[False, True]``. RRRN(RRRR R R tbinary_dilation(RRR((s8lib/python2.7/site-packages/skimage/morphology/binary.pyR.s cCs(t||}t||d|}|S(sReturn fast binary morphological opening of an image. This function returns the same result as greyscale 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. selem : ndarray, optional The neighborhood expressed as a 2-D array of 1's and 0's. If None, use cross-shaped structuring element (connectivity=1). out : ndarray of bool, optional The array to store the result of the morphology. If None is passed, a new array will be allocated. Returns ------- opening : ndarray of bool The result of the morphological opening. R(R R(RRRteroded((s8lib/python2.7/site-packages/skimage/morphology/binary.pytbinary_openingQscCs(t||}t||d|}|S(sReturn fast binary morphological closing of an image. This function returns the same result as greyscale 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. selem : ndarray, optional The neighborhood expressed as a 2-D array of 1's and 0's. If None, use cross-shaped structuring element (connectivity=1). out : ndarray of bool, optional The array to store the result of the morphology. If None, is passed, a new array will be allocated. Returns ------- closing : ndarray of bool The result of the morphological closing. R(RR (RRRtdilated((s8lib/python2.7/site-packages/skimage/morphology/binary.pytbinary_closingss( t__doc__tnumpyRtscipyRR tmiscRRR RRR(((s8lib/python2.7/site-packages/skimage/morphology/binary.pyts ""!