ó  ‰\c@sÊdZddlZddlZddlmZddlmZddl m Z dZ e d „e DƒƒZ dZ e je d„e Dƒƒƒd„Zd„Zdded„Zddedd„ZdS(s#Miscellaneous morphology functions.iÿÿÿÿN(tndimagei(twarni(t_default_selemterosiontdilationtopeningtclosingccs|]}|d|fVqdS(tgrey_N((t.0tx((s6lib/python2.7/site-packages/skimage/morphology/misc.pys stbinary_erosiontbinary_dilationtbinary_openingtbinary_closingt black_tophatt white_tophatccs|]}||fVqdS(N((RR ((s6lib/python2.7/site-packages/skimage/morphology/misc.pys scs%tjˆƒd‡fd†ƒ}|S(sŸDecorator to add a default structuring element 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 structuring element of same dimension as the input image with connectivity 1. cs4|dkrt|jƒ}nˆ|d|||ŽS(Ntselem(tNoneRtndim(timageRtargstkwargs(tfunc(s6lib/python2.7/site-packages/skimage/morphology/misc.pytfunc_out#s N(t functoolstwrapsR(RR((Rs6lib/python2.7/site-packages/skimage/morphology/misc.pyt default_selems cCsA|jtkp$tj|jtjƒs=td|jƒ‚ndS(Ns7Only bool or integer image types are supported. Got %s.(tdtypetbooltnpt issubdtypetintegert TypeError(tar((s6lib/python2.7/site-packages/skimage/morphology/misc.pyt_check_dtype_supported,s'i@c Cst|ƒ|r|}n |jƒ}|dkr5|S|jtkrŠtj|j|ƒ}tj|dtj ƒ}tj ||d|ƒn|}ytj |j ƒƒ}Wnt k rÈt dƒ‚nXt|ƒdkr÷|jtkr÷tdƒn||k}||} d|| <|S(súRemove connected components smaller than the specified size. Parameters ---------- ar : ndarray (arbitrary shape, int or bool type) The array containing the connected components of interest. If the array type is int, it is assumed that it contains already-labeled objects. The ints must be non-negative. min_size : int, optional (default: 64) The smallest allowable connected component size. connectivity : int, {1, 2, ..., ar.ndim}, optional (default: 1) The connectivity defining the neighborhood of a pixel. in_place : bool, optional (default: False) If `True`, remove the connected components in the input array itself. Otherwise, make a copy. 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 connected components removed. Examples -------- >>> 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]], dtype=bool) >>> 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]], dtype=bool) >>> d = morphology.remove_small_objects(a, 6, in_place=True) >>> d is a True iRtoutputs{Negative value labels are not supported. Try relabeling the input with `scipy.ndimage.label` or `skimage.morphology.label`.is[Only one label was provided to `remove_small_objects`. Did you mean to use a boolean array?(R"tcopyRRtnditgenerate_binary_structureRRt zeros_liketint32tlabeltbincounttravelt ValueErrortlenR( R!tmin_sizet connectivitytin_placetoutRtccstcomponent_sizest too_smallttoo_small_mask((s6lib/python2.7/site-packages/skimage/morphology/misc.pytremove_small_objects3s*3     !    cCsÔt|ƒ|jtkr)tdtƒn|dk rLtddƒ|}n|r[|}n |jƒ}|r‚tj||ƒ}ntj|ƒ}t ||||ƒ}|rÁtj||ƒ}ntj|ƒ}|S(s˜Remove continguous 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. in_place : bool, optional (default: False) If `True`, remove the connected components in the input array itself. Otherwise, make a copy. 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]], dtype=bool) >>> 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]], dtype=bool) >>> d = morphology.remove_small_holes(a, 2, in_place=True) >>> 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. s\Any labeled images will be returned as a boolean array. Did you mean to use a boolean array?s;the min_size argument is deprecated and will be removed in s!0.16. Use area_threshold instead.N( R"RRRt UserWarningRR$Rt logical_notR6(R!tarea_thresholdR/R0R.R1((s6lib/python2.7/site-packages/skimage/morphology/misc.pytremove_small_holes‰s&=      (RRRR(R R R R RR(t__doc__tnumpyRRtscipyRR%t _shared.utilsRRRtfuncstdicttskimage2ndimagetupdateRR"tFalseR6RR:(((s6lib/python2.7/site-packages/skimage/morphology/misc.pyts    V