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This commit is contained in:
Johannes Schönberger
2013-08-17 18:04:07 +02:00
parent 13957123b7
commit c4caf8b7b8
1 changed files with 41 additions and 41 deletions
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skimage/measure/_regionprops.py
+41 -41
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@@ -127,11 +127,6 @@ class _RegionProperties(object):
row, col = self.local_centroid
return row + self._slice[0].start, col + self._slice[1].start
@_cached_property
def moments_central(self):
row, col = self.local_centroid
return _moments.moments_central(self._image_double, row, col, 3)
@_cached_property
def convex_area(self):
return np.sum(self.convex_image)
@@ -176,10 +171,6 @@ class _RegionProperties(object):
def filled_image(self):
return ndimage.binary_fill_holes(self.image, STREL_8)
@_cached_property
def moments_hu(self):
return _moments.moments_hu(self.moments_normalized)
@_cached_property
def image(self):
return self._label_image[self._slice] == self.label
@@ -214,10 +205,6 @@ class _RegionProperties(object):
def _intensity_image_double(self):
return self.intensity_image.astype(np.double)
@_cached_property
def moments(self):
return _moments.moments(self._image_double, 3)
@_cached_property
def local_centroid(self):
m = self.moments
@@ -247,6 +234,19 @@ class _RegionProperties(object):
_, l2 = self.inertia_tensor_eigvals
return 4 * sqrt(l2)
@_cached_property
def moments(self):
return _moments.moments(self._image_double, 3)
@_cached_property
def moments_central(self):
row, col = self.local_centroid
return _moments.moments_central(self._image_double, row, col, 3)
@_cached_property
def moments_hu(self):
return _moments.moments_hu(self.moments_normalized)
@_cached_property
def moments_normalized(self):
return _moments.moments_normalized(self.moments_central, 3)
@@ -271,12 +271,6 @@ class _RegionProperties(object):
def solidity(self):
return self.moments[0, 0] / np.sum(self.convex_image)
@_cached_property
def weighted_central_moments(self):
row, col = self.weighted_local_centroid
return _moments.moments_central(self._intensity_image_double,
row, col, 3)
@_cached_property
def weighted_centroid(self):
row, col = self.weighted_local_centroid
@@ -289,14 +283,20 @@ class _RegionProperties(object):
col = m[1, 0] / m[0, 0]
return row, col
@_cached_property
def weighted_moments_hu(self):
return _moments.moments_hu(self.weighted_moments_normalized)
@_cached_property
def weighted_moments(self):
return _moments.moments_central(self._intensity_image_double, 0, 0, 3)
@_cached_property
def weighted_central_moments(self):
row, col = self.weighted_local_centroid
return _moments.moments_central(self._intensity_image_double,
row, col, 3)
@_cached_property
def weighted_moments_hu(self):
return _moments.moments_hu(self.weighted_moments_normalized)
@_cached_property
def weighted_moments_normalized(self):
return _moments.moments_normalized(self.weighted_central_moments, 3)
@@ -347,13 +347,6 @@ def regionprops(label_image, properties=None,
Number of pixels of region.
**bbox** : tuple
Bounding box `(min_row, min_col, max_row, max_col)`
**moments_central** : (3, 3) ndarray
Central moments (translation invariant) up to 3rd order::
mu_ji = sum{ array(x, y) * (x - x_c)^j * (y - y_c)^i }
where the sum is over the `x`, `y` coordinates of the region,
and `x_c` and `y_c` are the coordinates of the region's centroid.
**centroid** : array
Centroid coordinate tuple `(row, col)`.
**convex_area** : int
@@ -379,8 +372,6 @@ def regionprops(label_image, properties=None,
**filled_image** : (H, J) ndarray
Binary region image with filled holes which has the same size as
bounding box.
**moments_hu** : tuple
Hu moments (translation, scale and rotation invariant).
**image** : (H, J) ndarray
Sliced binary region image which has the same size as bounding box.
**inertia_tensor** : (2, 2) ndarray
@@ -407,6 +398,15 @@ def regionprops(label_image, properties=None,
m_ji = sum{ array(x, y) * x^j * y^i }
where the sum is over the `x`, `y` coordinates of the region.
**moments_central** : (3, 3) ndarray
Central moments (translation invariant) up to 3rd order::
mu_ji = sum{ array(x, y) * (x - x_c)^j * (y - y_c)^i }
where the sum is over the `x`, `y` coordinates of the region,
and `x_c` and `y_c` are the coordinates of the region's centroid.
**moments_hu** : tuple
Hu moments (translation, scale and rotation invariant).
**moments_normalized** : (3, 3) ndarray
Normalized moments (translation and scale invariant) up to 3rd order::
@@ -422,6 +422,15 @@ def regionprops(label_image, properties=None,
through the centers of border pixels using a 4-connectivity.
**solidity** : float
Ratio of pixels in the region to pixels of the convex hull image.
**weighted_centroid** : array
Centroid coordinate tuple `(row, col)` weighted with intensity
image.
**weighted_moments** : (3, 3) ndarray
Spatial moments of intensity image up to 3rd order::
wm_ji = sum{ array(x, y) * x^j * y^i }
where the sum is over the `x`, `y` coordinates of the region.
**weighted_central_moments** : (3, 3) ndarray
Central moments (translation invariant) of intensity image up to
3rd order::
@@ -430,18 +439,9 @@ def regionprops(label_image, properties=None,
where the sum is over the `x`, `y` coordinates of the region,
and `x_c` and `y_c` are the coordinates of the region's centroid.
**weighted_centroid** : array
Centroid coordinate tuple `(row, col)` weighted with intensity
image.
**weighted_moments_hu** : tuple
Hu moments (translation, scale and rotation invariant) of intensity
image.
**weighted_moments** : (3, 3) ndarray
Spatial moments of intensity image up to 3rd order::
wm_ji = sum{ array(x, y) * x^j * y^i }
where the sum is over the `x`, `y` coordinates of the region.
**weighted_moments_normalized** : (3, 3) ndarray
Normalized moments (translation and scale invariant) of intensity
image up to 3rd order::