Commit 0d8808847e10d4128b91b388a0ec58fbe550218a
1 parent
071dff96
Exists in
floodfill
Added floodfill code to InVesalius
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| ... | ... | @@ -0,0 +1,183 @@ |
| 1 | +import numpy as np | |
| 2 | +cimport numpy as np | |
| 3 | +cimport cython | |
| 4 | + | |
| 5 | +from collections import deque | |
| 6 | + | |
| 7 | +from libc.math cimport floor, ceil | |
| 8 | + | |
| 9 | +DTYPE = np.uint8 | |
| 10 | +ctypedef np.uint8_t DTYPE_t | |
| 11 | + | |
| 12 | +DTYPE16 = np.int16 | |
| 13 | +ctypedef np.int16_t DTYPE16_t | |
| 14 | + | |
| 15 | +@cython.boundscheck(False) # turn of bounds-checking for entire function | |
| 16 | +def floodfill(np.ndarray[DTYPE_t, ndim=3] data, int i, int j, int k, int v, int fill, np.ndarray[DTYPE_t, ndim=3] out): | |
| 17 | + | |
| 18 | + cdef int to_return = 0 | |
| 19 | + if out is None: | |
| 20 | + out = np.zeros_like(data) | |
| 21 | + to_return = 1 | |
| 22 | + | |
| 23 | + cdef int x, y, z | |
| 24 | + cdef int w, h, d | |
| 25 | + | |
| 26 | + d = data.shape[0] | |
| 27 | + h = data.shape[1] | |
| 28 | + w = data.shape[2] | |
| 29 | + | |
| 30 | + stack = [(i, j, k), ] | |
| 31 | + out[k, j, i] = fill | |
| 32 | + | |
| 33 | + while stack: | |
| 34 | + x, y, z = stack.pop() | |
| 35 | + | |
| 36 | + if z + 1 < d and data[z + 1, y, x] == v and out[z + 1, y, x] != fill: | |
| 37 | + out[z + 1, y, x] = fill | |
| 38 | + stack.append((x, y, z + 1)) | |
| 39 | + | |
| 40 | + if z - 1 >= 0 and data[z - 1, y, x] == v and out[z - 1, y, x] != fill: | |
| 41 | + out[z - 1, y, x] = fill | |
| 42 | + stack.append((x, y, z - 1)) | |
| 43 | + | |
| 44 | + if y + 1 < h and data[z, y + 1, x] == v and out[z, y + 1, x] != fill: | |
| 45 | + out[z, y + 1, x] = fill | |
| 46 | + stack.append((x, y + 1, z)) | |
| 47 | + | |
| 48 | + if y - 1 >= 0 and data[z, y - 1, x] == v and out[z, y - 1, x] != fill: | |
| 49 | + out[z, y - 1, x] = fill | |
| 50 | + stack.append((x, y - 1, z)) | |
| 51 | + | |
| 52 | + if x + 1 < w and data[z, y, x + 1] == v and out[z, y, x + 1] != fill: | |
| 53 | + out[z, y, x + 1] = fill | |
| 54 | + stack.append((x + 1, y, z)) | |
| 55 | + | |
| 56 | + if x - 1 >= 0 and data[z, y, x - 1] == v and out[z, y, x - 1] != fill: | |
| 57 | + out[z, y, x - 1] = fill | |
| 58 | + stack.append((x - 1, y, z)) | |
| 59 | + | |
| 60 | + if to_return: | |
| 61 | + return out | |
| 62 | + | |
| 63 | + | |
| 64 | +@cython.boundscheck(False) # turn of bounds-checking for entire function | |
| 65 | +@cython.wraparound(False) | |
| 66 | +@cython.nonecheck(False) | |
| 67 | +def floodfill_threshold(np.ndarray[DTYPE16_t, ndim=3] data, int i, int j, int k, int t0, int t1, int fill, np.ndarray[DTYPE_t, ndim=3] out): | |
| 68 | + | |
| 69 | + cdef int to_return = 0 | |
| 70 | + if out is None: | |
| 71 | + out = np.zeros_like(data) | |
| 72 | + to_return = 1 | |
| 73 | + | |
| 74 | + cdef int x, y, z | |
| 75 | + cdef int w, h, d | |
| 76 | + cdef int xo, yo, zo | |
| 77 | + | |
| 78 | + d = data.shape[0] | |
| 79 | + h = data.shape[1] | |
| 80 | + w = data.shape[2] | |
| 81 | + | |
| 82 | + stack = deque() | |
| 83 | + if data[k, j, i] >= t0 and data[k, j, i] <= t1: | |
| 84 | + stack.append((i, j, k)) | |
| 85 | + out[k, j, i] = fill | |
| 86 | + | |
| 87 | + while stack: | |
| 88 | + x, y, z = stack.pop() | |
| 89 | + | |
| 90 | + xo = x + 1 | |
| 91 | + yo = y + 1 | |
| 92 | + zo = z + 1 | |
| 93 | + | |
| 94 | + if z + 1 < d and data[z + 1, y, x] >= t0 and data[z + 1, y, x] <= t1 and out[zo + 1, yo, xo] != fill: | |
| 95 | + out[zo + 1, yo, xo] = fill | |
| 96 | + stack.append((x, y, z + 1)) | |
| 97 | + | |
| 98 | + if z - 1 >= 0 and data[z - 1, y, x] >= t0 and data[z - 1, y, x] <= t1 and out[zo - 1, yo, xo] != fill: | |
| 99 | + out[zo - 1, yo, xo] = fill | |
| 100 | + stack.append((x, y, z - 1)) | |
| 101 | + | |
| 102 | + if y + 1 < h and data[z, y + 1, x] >= t0 and data[z, y + 1, x] <= t1 and out[zo, yo + 1, xo] != fill: | |
| 103 | + out[zo, yo + 1, xo] = fill | |
| 104 | + stack.append((x, y + 1, z)) | |
| 105 | + | |
| 106 | + if y - 1 >= 0 and data[z, y - 1, x] >= t0 and data[z, y - 1, x] <= t1 and out[zo, yo - 1, xo] != fill: | |
| 107 | + out[zo, yo - 1, xo] = fill | |
| 108 | + stack.append((x, y - 1, z)) | |
| 109 | + | |
| 110 | + if x + 1 < w and data[z, y, x + 1] >= t0 and data[z, y, x + 1] <= t1 and out[zo, yo, xo + 1] != fill: | |
| 111 | + out[zo, yo, xo + 1] = fill | |
| 112 | + stack.append((x + 1, y, z)) | |
| 113 | + | |
| 114 | + if x - 1 >= 0 and data[z, y, x - 1] >= t0 and data[z, y, x - 1] <= t1 and out[zo, yo, xo - 1] != fill: | |
| 115 | + out[zo, yo, xo - 1] = fill | |
| 116 | + stack.append((x - 1, y, z)) | |
| 117 | + | |
| 118 | + if to_return: | |
| 119 | + return out | |
| 120 | + | |
| 121 | + | |
| 122 | +@cython.boundscheck(False) # turn of bounds-checking for entire function | |
| 123 | +@cython.wraparound(False) | |
| 124 | +@cython.nonecheck(False) | |
| 125 | +def floodfill_auto_threshold(np.ndarray[DTYPE16_t, ndim=3] data, int i, int j, int k, float p, int fill, np.ndarray[DTYPE_t, ndim=3] out): | |
| 126 | + | |
| 127 | + cdef int to_return = 0 | |
| 128 | + if out is None: | |
| 129 | + out = np.zeros_like(data) | |
| 130 | + to_return = 1 | |
| 131 | + | |
| 132 | + cdef int x, y, z | |
| 133 | + cdef int w, h, d | |
| 134 | + cdef int xo, yo, zo | |
| 135 | + cdef int t0, t1 | |
| 136 | + | |
| 137 | + d = data.shape[0] | |
| 138 | + h = data.shape[1] | |
| 139 | + w = data.shape[2] | |
| 140 | + | |
| 141 | + stack = deque() | |
| 142 | + t0 = <int>floor(data[k, j, i] * (1 - p)) | |
| 143 | + t1 = <int>floor(data[k, j, i] * (1 + p)) | |
| 144 | + #if data[k, j, i] >= t0 and data[k, j, i] <= t1: | |
| 145 | + stack.append((i, j, k)) | |
| 146 | + out[k, j, i] = fill | |
| 147 | + | |
| 148 | + while stack: | |
| 149 | + x, y, z = stack.pop() | |
| 150 | + | |
| 151 | + xo = x + 1 | |
| 152 | + yo = y + 1 | |
| 153 | + zo = z + 1 | |
| 154 | + | |
| 155 | + t0 = <int>floor(data[z, y, x] * (1 - p)) | |
| 156 | + t1 = <int>floor(data[z, y, x] * (1 + p)) | |
| 157 | + | |
| 158 | + if z + 1 < d and data[z + 1, y, x] >= t0 and data[z + 1, y, x] <= t1 and out[zo + 1, yo, xo] != fill: | |
| 159 | + out[zo + 1, yo, xo] = fill | |
| 160 | + stack.append((x, y, z + 1)) | |
| 161 | + | |
| 162 | + if z - 1 >= 0 and data[z - 1, y, x] >= t0 and data[z - 1, y, x] <= t1 and out[zo - 1, yo, xo] != fill: | |
| 163 | + out[zo - 1, yo, xo] = fill | |
| 164 | + stack.append((x, y, z - 1)) | |
| 165 | + | |
| 166 | + if y + 1 < h and data[z, y + 1, x] >= t0 and data[z, y + 1, x] <= t1 and out[zo, yo + 1, xo] != fill: | |
| 167 | + out[zo, yo + 1, xo] = fill | |
| 168 | + stack.append((x, y + 1, z)) | |
| 169 | + | |
| 170 | + if y - 1 >= 0 and data[z, y - 1, x] >= t0 and data[z, y - 1, x] <= t1 and out[zo, yo - 1, xo] != fill: | |
| 171 | + out[zo, yo - 1, xo] = fill | |
| 172 | + stack.append((x, y - 1, z)) | |
| 173 | + | |
| 174 | + if x + 1 < w and data[z, y, x + 1] >= t0 and data[z, y, x + 1] <= t1 and out[zo, yo, xo + 1] != fill: | |
| 175 | + out[zo, yo, xo + 1] = fill | |
| 176 | + stack.append((x + 1, y, z)) | |
| 177 | + | |
| 178 | + if x - 1 >= 0 and data[z, y, x - 1] >= t0 and data[z, y, x - 1] <= t1 and out[zo, yo, xo - 1] != fill: | |
| 179 | + out[zo, yo, xo - 1] = fill | |
| 180 | + stack.append((x - 1, y, z)) | |
| 181 | + | |
| 182 | + if to_return: | |
| 183 | + return out | ... | ... |
| ... | ... | @@ -0,0 +1,11 @@ |
| 1 | +from distutils.core import setup | |
| 2 | +from distutils.extension import Extension | |
| 3 | +from Cython.Distutils import build_ext | |
| 4 | + | |
| 5 | +import numpy | |
| 6 | + | |
| 7 | +setup( | |
| 8 | + cmdclass = {'build_ext': build_ext}, | |
| 9 | + ext_modules = [Extension("invesalius/data/floodfill", ["invesalius/data/floodfill.pyx"], | |
| 10 | + include_dirs = [numpy.get_include()])] | |
| 11 | +) | ... | ... |