a6dZdZddlZddlZddlmZddlmZdZ de DZ dZ e d e Dd Z d Z ddddZddddZdS)z#Miscellaneous morphology functions.N)ndimage)warn)erosiondilationopeningclosingci|]}|d|z S)grey_.0xs 7lib/python3.11/site-packages/skimage/morphology/misc.py r s111a1gk111)binary_erosionbinary_dilationbinary_openingbinary_closing black_tophat white_tophatci|]}||Sr r r s rrrs,,,1,,,rcHtjdfd }|S)aDecorator to add a default footprint to morphology functions. Parameters ---------- func : function A morphology function such as erosion, dilation, opening, closing, white_tophat, or black_tophat. Returns ------- func_out : function The function, using a default footprint of same dimension as the input image with connectivity 1. NcX|tj|jd}|g|Rd|i|S)N footprint)ndigenerate_binary_structurendim)imagerargskwargsfuncs rfunc_outz#default_footprint..func_out"sB  5ej!DDItE@@@@Y@@@@r)N) functoolswraps)r$r%s` rdefault_footprintr(sE _TAAAAAA Orc|jtks>> from skimage import morphology >>> a = np.array([[0, 0, 0, 1, 0], ... [1, 1, 1, 0, 0], ... [1, 1, 1, 0, 1]], bool) >>> b = morphology.remove_small_objects(a, 6) >>> b array([[False, False, False, False, False], [ True, True, True, False, False], [ True, True, True, False, False]]) >>> c = morphology.remove_small_objects(a, 7, connectivity=2) >>> c array([[False, False, False, True, False], [ True, True, True, False, False], [ True, True, True, False, False]]) >>> d = morphology.remove_small_objects(a, 6, out=a) >>> d is a True Nr)r+)outputz{Negative value labels are not supported. Try relabeling the input with `scipy.ndimage.label` or `skimage.morphology.label`.rz[Only one label was provided to `remove_small_objects`. Did you mean to use a boolean array?)r2copyr+r,rrr r- zeros_likeint32labelbincountravel ValueErrorlenr) r1min_size connectivityr5rccscomponent_sizes too_smalltoo_small_masks rremove_small_objectsrF2sDp2 {ggiiAAA1}}  yD1"'<HH mBbh/// "i,,,,,8+ciikk22 888788 88  ?q  SY$%6%6 4 5 5 5 (*Is^NC Js &CCcht||jtkrtdt| |jtkrt dn|td}tj||t||||}tj|||S)apRemove contiguous holes smaller than the specified size. Parameters ---------- ar : ndarray (arbitrary shape, int or bool type) The array containing the connected components of interest. area_threshold : int, optional (default: 64) The maximum area, in pixels, of a contiguous hole that will be filled. Replaces `min_size`. connectivity : int, {1, 2, ..., ar.ndim}, optional (default: 1) The connectivity defining the neighborhood of a pixel. out : ndarray Array of the same shape as `ar` and bool dtype, into which the output is placed. By default, a new array is created. Raises ------ TypeError If the input array is of an invalid type, such as float or string. ValueError If the input array contains negative values. Returns ------- out : ndarray, same shape and type as input `ar` The input array with small holes within connected components removed. Examples -------- >>> from skimage import morphology >>> a = np.array([[1, 1, 1, 1, 1, 0], ... [1, 1, 1, 0, 1, 0], ... [1, 0, 0, 1, 1, 0], ... [1, 1, 1, 1, 1, 0]], bool) >>> b = morphology.remove_small_holes(a, 2) >>> b array([[ True, True, True, True, True, False], [ True, True, True, True, True, False], [ True, False, False, True, True, False], [ True, True, True, True, True, False]]) >>> c = morphology.remove_small_holes(a, 2, connectivity=2) >>> c array([[ True, True, True, True, True, False], [ True, True, True, False, True, False], [ True, False, False, True, True, False], [ True, True, True, True, True, False]]) >>> d = morphology.remove_small_holes(a, 2, out=a) >>> d is a True Notes ----- If the array type is int, it is assumed that it contains already-labeled objects. The labels are not kept in the output image (this function always outputs a bool image). It is suggested that labeling is completed after using this function. z\Any labeled images will be returned as a boolean array. Did you mean to use a boolean array?Nzout dtype must be boolT)r8r4) r2r+r,r UserWarningr0astyper- logical_notrF)r1area_thresholdrAr5s rremove_small_holesrLsv2 x4 45@ B B B  9  455 5 ii4i((N23 sNLc J J JCN3C    Jr)r3r)__doc__numpyr-r&scipyrr _shared.utilsrfuncsskimage2ndimageupdater(r2rFrLr rrrTs))  6115111 ;,,e,,,---2,,,XXXXXXvPTPPPPPPPr