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Clean up docstrings

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Tony S Yu
2012-05-08 21:28:49 -04:00
parent ae85fa8b15
commit 19f1021f60
2 changed files with 9 additions and 9 deletions
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skimage/detection/_template.pyx
+1 -1
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@@ -84,7 +84,7 @@ cdef integral_image_sqr(np.ndarray[float, ndim=2, mode="c"] image):
@cython.boundscheck(False)
cdef integral_images(np.ndarray[float, ndim=2, mode="c"] image):
"""
Calculate the summed and sqared integral image.
Calculate the summed and squared integral image.
Parameters
----------
skimage/detection/template.py
+8 -8
View File
@@ -48,17 +48,17 @@ def match_template(image, template, method="norm-coeff"):
method: str (default 'norm-coeff')
The correlation method used in scanning.
T represents the template, I the image and R the result.
The summation is done over x' = 0..w-1 and y' = 0..h-1 of the template.
The summation is done over X = 0..w-1 and Y = 0..h-1 of the template.
'norm-coeff':
R(x, y) = Sigma(x',y')[T(x', y').I(x + x', y + y')] / N
N = sqrt(Sigma(x',y')[T(x', y')**2].Sigma(x',y')[I(x + x', y + y')**2])
R(x, y) = Sigma(X,Y)[T(X, Y).I(x + X, y + Y)] / N
N = sqrt(Sigma(X,Y)[T(X, Y)**2].Sigma(X,Y)[I(x + X, y + Y)**2])
'norm-corr':
R(x,y) = Sigma(x',y)[T'(x', y').I'(x + x', y + y')] / N
N = sqrt(Sigma(x',y)[T'(x', y')**2].Sigma(x',y')[I'(x + x', y + y')**2])
R(x,y) = Sigma(X,y)[T'(X, Y).I'(x + X, y + Y)] / N
N = sqrt(Sigma(X,y)[T'(X, Y)**2].Sigma(X,Y)[I'(x + X, y + Y)**2])
where:
T'(x, y) = T(x', y') - 1/(w.h).Sigma(x'',y'')[T(x'', y'')]
I'(x + x', y + y') = I(x + x', y + y') -
1/(w.h).Sigma(x'',y'')[I(x + x'', y + y'')]
T'(x, y) = T(X, Y) - 1/(w.h).Sigma(X',Y')[T(X', Y')]
I'(x + X, y + Y) = I(x + X, y + Y)
- 1/(w.h).Sigma(X',Y')[I(x + X', y + Y')]
Returns
-------