Example #1
0
def _smoothBorder(arr, start, stop, smooth, value):
    """
    start, stop: [z,y,x]
    """
    # prepare coordinates
    shape = N.array(arr.shape)
    start = N.ceil(start).astype(N.int16)
    stop = N.ceil(stop).astype(N.int16)
    smooth_start = start - smooth
    smooth_stop = stop + smooth
    smooth_start = N.where(smooth_start < 0, 0, smooth_start)
    smooth_stop = N.where(smooth_stop > shape, shape, smooth_stop)
    #print smooth_start, smooth_stop

    import copy
    sliceTemplate = [slice(None, None, None)] * arr.ndim
    shapeTemplate = list(shape)
    for d in range(arr.ndim):
        smooth_shape = shapeTemplate[:d] + shapeTemplate[d + 1:]

        # make an array containing the edge value
        edges = N.empty([2] + smooth_shape, N.float32)
        # start side
        slc = copy.copy(sliceTemplate)
        slc[d] = slice(start[d], start[d] + 1, None)
        edges[0] = arr[slc].reshape(smooth_shape)
        # stop side
        slc = copy.copy(sliceTemplate)
        slc[d] = slice(stop[d] - 1, stop[d], None)
        edges[1] = arr[slc].reshape(smooth_shape)

        edges = (edges - value) / float(
            smooth + 1)  # this value can be array??

        # both side
        for s, side in enumerate([start, stop]):
            if s == 0:
                rs = range(smooth_start[d], start[d])
                rs.sort(reverse=True)
            elif s == 1:
                rs = range(stop[d], smooth_stop[d])
            # smoothing
            for f, i in enumerate(rs):
                slc = copy.copy(sliceTemplate)
                slc[d] = slice(i, i + 1, None)
                edgeArr = edges[s].reshape(arr[slc].shape)
                #arr[slc] += edgeArr * (smooth - f)
                arr[slc] = arr[slc] + edgeArr * (smooth - f)  # casting rule

    arr = N.ascontiguousarray(arr)
    return arr
Example #2
0
def paddingValue(img, shape, value=0, shift=None, smooth=0, interpolate=True):
    """
    shape:       in the same dimension as img
    value:       value in padded region, can be scaler or array with the shape
    shift:       scaler or in the same dimension as img and shape (default 0)
    smooth:      scaler value to smoothen border (here value must be scaler)
    interpolate: shift array by subpixel interpolation to adjust center

    return:      padded array with shape
    """
    # create buffer
    dtype = img.dtype.type
    canvas = N.empty(shape, dtype)
    canvas[:] = value

    # calculate position
    shape = N.array(shape)
    shapeS = img.shape
    center = N.divide(shape, 2)
    if shift is None:
        shift = 0  #[0] * len(shapeS)
    shapeL = shape  #N.add(shapeS, center+shift)
    start, stop = (shapeL - shapeS) / 2., (shapeL + shapeS) / 2.
    slc = [slice(start[d], stop[d], None) for d in range(img.ndim)]
    #print slc, shapeS, shapeL

    # shift if necessary
    if interpolate:
        subpx_shift = start % 1  # should be 0.5 or 0
        if N.sometrue(subpx_shift):
            img = U.nd.shift(img, subpx_shift)
    # padding
    canvas[slc] = img
    if smooth:
        canvas = _smoothBorder(canvas, start, stop, smooth, value)
    canvas = N.ascontiguousarray(canvas)
    #print shapeS, shapeL, slc
    return canvas
Example #3
0
def pointsCutOutND(arr,
                   posList,
                   windowSize=100,
                   sectWise=None,
                   interpolate=True):
    """
    array:       nd array
    posList:     ([(z,)y,x]...)
    windowSize:  scalar (in pixel or as percent < 1.) or ((z,)y,x)
                 if arr.ndim > 2, and len(windowSize) == 2, then
                 cut out section-wise (higher dimensions stay the same)
    sectWise:    conern only XY of windowSize (higher dimensions stay the same)
    interpolate: shift array by subpixel interpolation to adjust center

    return:      list of array centered at each pos in posList
    """
    shape = N.array(arr.shape)
    center = shape / 2.
    # prepare N-dimensional window size
    try:
        len(windowSize)  # seq
        if sectWise:
            windowSize = windowSize[-2:]
        if len(windowSize) != arr.ndim:
            dim = len(windowSize)
            windowSize = tuple(shape[:-dim]) + tuple(windowSize)
    except TypeError:  # scaler
        if windowSize < 1 and windowSize > 0:  # percentage
            w = shape * windowSize
            if sectWise:
                w[:-2] = shape[:-2]
            windowSize = w.astype(N.uint16)
        else:
            windowSize = N.where(shape >= windowSize, windowSize, shape)
            if sectWise:
                windowSize = arr.shape[:-2] + windowSize[-2:]
    windowSize = N.asarray(windowSize)

    # cutout individual position
    arrList = []
    for pos in posList:
        # prepare N-dimensional coordinate
        n = len(pos)
        if n != len(windowSize):
            temp = center.copy()
            center[-n:] = pos
            pos = center

        # calculate idx
        ori = pos - (windowSize / 2.)  # float value
        oidx = N.ceil(ori)  # idx
        subpxl = oidx - ori  # subpixel mod
        if interpolate and N.sometrue(subpxl):  # comit to make shift
            SHIFT = 1
        else:
            SHIFT = 0

        # prepare slice
        # when comitted to make shift, first cut out window+1,
        # then make subpixle shift, and then cutout 1 edge
        slc = [Ellipsis]  # Ellipsis is unnecessary, just in case...
        slc_edge = [slice(1, -1, None)] * arr.ndim
        for d in range(arr.ndim):
            start = oidx[d] - SHIFT
            if start < 0:
                start = 0
                slc_edge[d] = slice(0, slc_edge[d].stop, None)
            stop = oidx[d] + windowSize[d] + SHIFT
            if stop > shape[d]:
                stop = shape[d]
                slc_edge[d] = slice(slc_edge[d].start, shape[d], None)
            slc += [slice(int(start), int(stop), None)]

        # cutout, shift and cutout
        try:
            canvas = arr[slc]
            if SHIFT:
                canvas = U.nd.shift(canvas, subpxl)
                canvas = canvas[slc_edge]
            check = 1
        except IndexError:
            print 'position ', pos, ' was skipped'
            check = 0
            raise
        if check:
            arrList += [N.ascontiguousarray(canvas)]

    return arrList