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https://github.com/wassname/scikit-image.git
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MAINT: put AA method in draw.*_aa
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@@ -14,7 +14,8 @@ This example shows how to fill several different shapes:
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import numpy as np
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import matplotlib.pyplot as plt
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from skimage.draw import line, polygon, circle, circle_perimeter, \
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from skimage.draw import line, polygon, circle, \
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circle_perimeter, circle_perimeter_aa, \
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ellipse, ellipse_perimeter
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import numpy as np
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import math
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@@ -49,7 +50,7 @@ rr, cc = circle_perimeter(120, 400, 15)
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img[rr, cc, :] = (255, 0, 0)
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# anti-aliased circle
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rr, cc, val = circle_perimeter(120, 400, 70, 'wu')
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rr, cc, val = circle_perimeter_aa(120, 400, 70)
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img[rr, cc, 1] = val * 255
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# ellipses
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@@ -1,6 +1,6 @@
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from .draw import circle, ellipse, set_color
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from ._draw import line, polygon, ellipse_perimeter, circle_perimeter, \
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bezier_segment
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from ._draw import (line, polygon, ellipse_perimeter, circle_perimeter,
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circle_perimeter_aa, bezier_segment)
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from .draw3d import ellipsoid, ellipsoid_stats
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__all__ = ['line',
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@@ -11,4 +11,5 @@ __all__ = ['line',
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'ellipsoid_stats',
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'circle',
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'circle_perimeter',
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'circle_perimeter_aa',
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'set_color']
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+84
-59
@@ -178,7 +178,6 @@ def circle_perimeter(Py_ssize_t cy, Py_ssize_t cx, Py_ssize_t radius,
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method : {'bresenham', 'andres', 'wu'}, optional
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bresenham : Bresenham method (default)
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andres : Andres method
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wu : Wu's method
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Returns
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-------
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@@ -188,19 +187,13 @@ def circle_perimeter(Py_ssize_t cy, Py_ssize_t cx, Py_ssize_t radius,
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May be used to directly index into an array, e.g.
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``img[rr, cc] = 1``.
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rr, cc, val : (N,) ndarray of int
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Wu's method:
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Indices of pixels and intensity values.
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``img[rr, cc] = val``.
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Notes
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-----
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Andres method presents the advantage that concentric
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circles create a disc whereas Bresenham can make holes. There
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is also less distortions when Andres circles are rotated.
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Bresenham method is also known as midpoint circle algorithm.
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Wu's method draws anti-aliased circle. This implementation doesn't use
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lookup table optimization.
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Anti-aliased circle generator is available with `circle_perimeter_aa`.
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References
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----------
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@@ -208,8 +201,6 @@ def circle_perimeter(Py_ssize_t cy, Py_ssize_t cx, Py_ssize_t radius,
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plotter", IBM Systems journal, 4 (1965) 25-30.
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.. [2] E. Andres, "Discrete circles, rings and spheres", Computers &
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Graphics, 18 (1994) 695-706.
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.. [3] X. Wu, "An efficient antialiasing technique", In ACM SIGGRAPH
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Computer Graphics, 25 (1991) 143-152.
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Examples
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--------
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@@ -233,7 +224,6 @@ def circle_perimeter(Py_ssize_t cy, Py_ssize_t cx, Py_ssize_t radius,
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cdef list rr = list()
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cdef list cc = list()
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cdef list val = list()
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cdef Py_ssize_t x = 0
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cdef Py_ssize_t y = radius
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@@ -249,62 +239,97 @@ def circle_perimeter(Py_ssize_t cy, Py_ssize_t cx, Py_ssize_t radius,
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elif method == 'andres':
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d = radius - 1
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cmethod = 'a'
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elif method == 'wu':
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cmethod = 'w'
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else:
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raise ValueError('Wrong method')
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if cmethod == 'a' or cmethod == 'b':
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while y >= x:
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rr.extend([y, -y, y, -y, x, -x, x, -x])
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cc.extend([x, x, -x, -x, y, y, -y, -y])
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while y >= x:
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rr.extend([y, -y, y, -y, x, -x, x, -x])
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cc.extend([x, x, -x, -x, y, y, -y, -y])
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if cmethod == 'b':
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if d < 0:
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d += 4 * x + 6
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else:
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d += 4 * (x - y) + 10
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y -= 1
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x += 1
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elif cmethod == 'a':
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if d >= 2 * (x - 1):
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d = d - 2 * x
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x = x + 1
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elif d <= 2 * (radius - y):
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d = d + 2 * y - 1
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y = y - 1
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else:
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d = d + 2 * (y - x - 1)
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y = y - 1
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x = x + 1
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return (np.array(rr, dtype=np.intp) + cy,
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np.array(cc, dtype=np.intp) + cx)
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elif cmethod == 'w':
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dceil_prev = 0
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rr.extend([y, x, y, x, -y, -x, -y, -x])
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cc.extend([x, y, -x, -y, x, y, -x, -y])
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val.extend([1] * 8)
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while y > x + 1:
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x += 1
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dceil = math.sqrt(radius**2 - x**2)
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dceil = math.ceil(dceil) - dceil
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if dceil < dceil_prev:
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if cmethod == 'b':
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if d < 0:
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d += 4 * x + 6
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else:
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d += 4 * (x - y) + 10
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y -= 1
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rr.extend([y, y - 1, x, x, y, y - 1, x, x])
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cc.extend([x, x, y, y - 1, -x, -x, -y, 1 - y])
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x += 1
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elif cmethod == 'a':
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if d >= 2 * (x - 1):
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d = d - 2 * x
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x = x + 1
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elif d <= 2 * (radius - y):
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d = d + 2 * y - 1
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y = y - 1
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else:
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d = d + 2 * (y - x - 1)
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y = y - 1
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x = x + 1
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return (np.array(rr, dtype=np.intp) + cy,
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np.array(cc, dtype=np.intp) + cx)
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rr.extend([-y, 1 - y, -x, -x, -y, 1 - y, -x, -x])
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cc.extend([x, x, y, y - 1, -x, -x, -y, 1 - y])
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val.extend([1 - dceil, dceil] * 8)
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dceil_prev = dceil
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def circle_perimeter_aa(Py_ssize_t cy, Py_ssize_t cx, Py_ssize_t radius):
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"""Generate anti-aliased circle perimeter coordinates.
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return (np.array(rr, dtype=np.intp) + cy,
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np.array(cc, dtype=np.intp) + cx,
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np.array(val, dtype=np.float))
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Parameters
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----------
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cy, cx : int
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Centre coordinate of circle.
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radius: int
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Radius of circle.
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Returns
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-------
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rr, cc, val : (N,) ndarray of int
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Indices of pixels (`rr`, `cc`) and intensity values (`val`).
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``img[rr, cc] = val``.
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Notes
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-----
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Wu's method draws anti-aliased circle. This implementation doesn't use
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lookup table optimization.
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References
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----------
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.. [1] X. Wu, "An efficient antialiasing technique", In ACM SIGGRAPH
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Computer Graphics, 25 (1991) 143-152.
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"""
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cdef list rr = list()
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cdef list cc = list()
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cdef list val = list()
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cdef Py_ssize_t x = 0
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cdef Py_ssize_t y = radius
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cdef Py_ssize_t d = 0
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cdef double dceil = 0
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dceil_prev = 0
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rr.extend([y, x, y, x, -y, -x, -y, -x])
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cc.extend([x, y, -x, -y, x, y, -x, -y])
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val.extend([1] * 8)
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while y > x + 1:
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x += 1
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dceil = math.sqrt(radius**2 - x**2)
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dceil = math.ceil(dceil) - dceil
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if dceil < dceil_prev:
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y -= 1
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rr.extend([y, y - 1, x, x, y, y - 1, x, x])
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cc.extend([x, x, y, y - 1, -x, -x, -y, 1 - y])
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rr.extend([-y, 1 - y, -x, -x, -y, 1 - y, -x, -x])
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cc.extend([x, x, y, y - 1, -x, -x, -y, 1 - y])
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val.extend([1 - dceil, dceil] * 8)
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dceil_prev = dceil
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return (np.array(rr, dtype=np.intp) + cy,
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np.array(cc, dtype=np.intp) + cx,
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np.array(val, dtype=np.float))
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def ellipse_perimeter(Py_ssize_t cy, Py_ssize_t cx, Py_ssize_t yradius,
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@@ -1,8 +1,10 @@
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from numpy.testing import assert_array_equal
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import numpy as np
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from skimage.draw import line, polygon, circle, circle_perimeter, \
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ellipse, ellipse_perimeter, bezier_segment
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from skimage.draw import (line, polygon, circle, circle_perimeter,
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circle_perimeter_aa, ellipse,
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ellipse_perimeter, bezier_segment,
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)
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def test_line_horizontal():
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@@ -215,15 +217,15 @@ def test_circle_perimeter_andres():
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assert_array_equal(img, img_)
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def test_circle_perimeter_wu():
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def test_circle_perimeter_aa():
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img = np.zeros((15, 15), 'uint8')
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rr, cc, val = circle_perimeter(7, 7, 0, method='wu')
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rr, cc, val = circle_perimeter_aa(7, 7, 0)
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img[rr, cc] = 1
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assert(np.sum(img) == 1)
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assert(img[7][7] == 1)
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img = np.zeros((17, 17), 'uint8')
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rr, cc, val = circle_perimeter(8, 8, 7, method='wu')
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rr, cc, val = circle_perimeter_aa(8, 8, 7)
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img[rr, cc] = val * 255
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img_ = np.array(
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[[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
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