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authorAaron LI <aly@aaronly.me>2017-07-18 14:54:18 +0800
committerAaron LI <aly@aaronly.me>2017-07-18 14:54:18 +0800
commit69c2d830a420e459f0018075cb8c1b83dc889167 (patch)
treef46c7f08ba8c7dee9966223bce92d8f74af3a225 /fg21sim/utils/transform.py
parentd1a3d3091109e8c63fe752069189471ee22c6f6b (diff)
downloadfg21sim-69c2d830a420e459f0018075cb8c1b83dc889167.tar.bz2
utils/transform.py: Add function "circle2ellipse()"
Signed-off-by: Aaron LI <aly@aaronly.me>
Diffstat (limited to 'fg21sim/utils/transform.py')
-rw-r--r--fg21sim/utils/transform.py40
1 files changed, 40 insertions, 0 deletions
diff --git a/fg21sim/utils/transform.py b/fg21sim/utils/transform.py
index 3a3e541..63fad94 100644
--- a/fg21sim/utils/transform.py
+++ b/fg21sim/utils/transform.py
@@ -18,6 +18,7 @@ References
import numpy as np
import numba as nb
+from scipy import ndimage
@nb.jit([nb.float64[:, :](nb.int64[:, :], nb.float64, nb.boolean,
@@ -141,3 +142,42 @@ def rotate_center(imgin, angle, interp=True, reshape=True, fill_value=0.0):
#
imgout[rr, cc] = p_val
return imgout
+
+
+def circle2ellipse(imgcirc, bfraction, rotation=0.0):
+ """
+ Shrink the input circle image with respect to the center along the
+ column (axis) to transform the circle to an ellipse, and then rotate
+ around the image center.
+
+ Parameters
+ ----------
+ imgcirc : 2D `~numpy.ndarray`
+ Input image grid containing a circle at the center
+ bfraction : float
+ The fraction of the semi-minor axis w.r.t. the semi-major axis
+ (assumed to be the width of the input image), to determine the
+ shrunk size (height) of the output image.
+ Should be a fraction within [0, 1]
+ rotation : float, optional
+ Rotation angle (unit: [ degree ])
+
+ Returns
+ -------
+ imgout : 2D `~numpy.ndarray`
+ Image of the same size as the input circle image.
+ """
+ nrow, ncol = imgcirc.shape
+ # Shrink the circle to be elliptical
+ nrow2 = nrow * bfraction
+ nrow2 = int(nrow2 / 2) * 2 + 1 # be odd
+ img2 = ndimage.zoom(imgcirc, zoom=(nrow2/nrow, 1.0), order=1)
+ # Pad the shrunk image to have the same size as input
+ imgout = np.zeros(shape=(nrow, ncol))
+ r1 = int((nrow - nrow2) / 2)
+ r2 = r1 + nrow2
+ imgout[r1:r2, :] = img2
+ # Rotate the ellipse
+ imgout = ndimage.rotate(imgout, angle=rotation, reshape=False,
+ order=1)
+ return imgout