wassname/scikit-image
1
0
Fork 0
mirror of https://github.com/wassname/scikit-image.git synced 2026-08-19 12:40:22 +08:00
Code Issues Packages Projects Releases Wiki Activity

fix incorrect comment

Browse Source
This commit is contained in:
Johannes Schönberger
2012-08-08 19:19:18 +02:00
parent eb1e71114c
commit 54452550f1
1 changed files with 6 additions and 2 deletions
Download Patch File Download Diff File Expand all files Collapse all files
skimage/transform/_geometric.py
+6 -2
View File
@@ -173,8 +173,8 @@ class ProjectiveTransform(GeometricTransform):
_, _, V = np.linalg.svd(A)
H = np.zeros((3, 3))
# solution is eigen vector that corresponds to smallest eigen value
# and normed by c3
# solution is right singular vector that corresponds to smallest
# singular value and normed by c3
H.flat[self._coefs + [8]] = - V[-1, :-1] / V[-1, -1]
H[2, 2] = 1
@@ -335,6 +335,8 @@ class SimilarityTransform(ProjectiveTransform):
_, _, V = np.linalg.svd(A)
# solution is right singular vector that corresponds to smallest
# singular value and normed by c3
a0, a1, b0, b1 = - V[-1, :-1] / V[-1, -1]
self._matrix = np.array([[a0, -b0, a1],
@@ -446,6 +448,8 @@ class PolynomialTransform(GeometricTransform):
_, _, V = np.linalg.svd(A)
# solution is right singular vector that corresponds to smallest
# singular value and normed by c3
coeffs = - V[-1, :-1] / V[-1, -1]
self._coeffs = coeffs.reshape((2, u / 2))