From fb1c1d39f0994d7ce1b28cac75090fb8661c31eb Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Johannes=20Sch=C3=B6nberger?= Date: Sat, 9 Nov 2013 23:01:58 +0100 Subject: [PATCH] Fix misspelled sections --- skimage/feature/corner.py | 6 +++--- skimage/filter/rank/generic.py | 8 ++++---- skimage/morphology/convex_hull.py | 4 ++-- skimage/transform/_warps.py | 4 ++-- skimage/viewer/canvastools/painttool.py | 4 ++-- 5 files changed, 13 insertions(+), 13 deletions(-) diff --git a/skimage/feature/corner.py b/skimage/feature/corner.py index 7fd49638..d08c0a83 100644 --- a/skimage/feature/corner.py +++ b/skimage/feature/corner.py @@ -70,10 +70,10 @@ def corner_kitchen_rosenfeld(image): The corner measure is calculated as follows:: (imxx * imy**2 + imyy * imx**2 - 2 * imxy * imx * imy) - ------------------------------------------------------ - (imx**2 + imy**2) + / (imx**2 + imy**2) - Where imx and imy are the first and imxx, imxy, imyy the second derivatives. + Where imx and imy are the first and imxx, imxy, imyy the second + derivatives. Parameters ---------- diff --git a/skimage/filter/rank/generic.py b/skimage/filter/rank/generic.py index 50c9a370..34c0787b 100644 --- a/skimage/filter/rank/generic.py +++ b/skimage/filter/rank/generic.py @@ -247,8 +247,8 @@ def maximum(image, selem, out=None, mask=None, shift_x=False, shift_y=False): -------- skimage.morphology.dilation - Note - ---- + Notes + ----- * the lower algorithm complexity makes the rank.maximum() more efficient for larger images and structuring elements @@ -397,8 +397,8 @@ def minimum(image, selem, out=None, mask=None, shift_x=False, shift_y=False): -------- skimage.morphology.erosion - Note - ---- + Notes + ----- * the lower algorithm complexity makes the rank.minimum() more efficient for larger images and structuring elements diff --git a/skimage/morphology/convex_hull.py b/skimage/morphology/convex_hull.py index adc63607..1a26b842 100644 --- a/skimage/morphology/convex_hull.py +++ b/skimage/morphology/convex_hull.py @@ -88,8 +88,8 @@ def convex_hull_object(image, neighbors=8): hull : ndarray of bool Binary image with pixels in convex hull set to True. - Note - ---- + Notes + ----- This function uses skimage.morphology.label to define unique objects, finds the convex hull of each using convex_hull_image, and combines these regions with logical OR. Be aware the convex hulls of unconnected diff --git a/skimage/transform/_warps.py b/skimage/transform/_warps.py index c1f3f9dd..23b56164 100644 --- a/skimage/transform/_warps.py +++ b/skimage/transform/_warps.py @@ -252,8 +252,8 @@ def downscale_local_mean(image, factors, cval=0): image : ndarray Down-sampled image with same number of dimensions as input image. - Example - ------- + Examples + -------- >>> a = np.arange(15).reshape(3, 5) >>> a array([[ 0, 1, 2, 3, 4], diff --git a/skimage/viewer/canvastools/painttool.py b/skimage/viewer/canvastools/painttool.py index 3b4132f0..7e7dd33a 100644 --- a/skimage/viewer/canvastools/painttool.py +++ b/skimage/viewer/canvastools/painttool.py @@ -158,8 +158,8 @@ class PaintTool(CanvasToolBase): class CenteredWindow(object): """Window that create slices numpy arrays over 2D windows. - Example - ------- + Examples + -------- >>> a = np.arange(16).reshape(4, 4) >>> w = CenteredWindow(1, a.shape) >>> a[w.at(1, 1)]