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Corrected spellings.

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Vighnesh Birodkar
2014-04-23 00:53:13 +05:30
parent 57bd84e3db
commit d03fdb8827
1 changed files with 2 additions and 2 deletions
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doc/examples/plot_blob.py
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@@ -11,14 +11,14 @@ image is a star or a galaxy, so we are literally counting stars.
Laplacian of Gaussian (LoG)
-----------------------------
This is the most accurate and slowest approach. It computes the Laplacian
of Gaussian images with successively increasing standard devation and
of Gaussian images with successively increasing standard deviation and
stacks them up in a cube. Blobs are local maximas in this cube. Detecting
larger blobs is especially slower because of larger kernel sizes during
convolution. Only bright blobs on dark backgrounds are detected.
Difference of Gaussian (LoG)
----------------------------
This is a faster approximant of LoG approach. In this case the image is
This is a faster approximation of LoG approach. In this case the image is
blurred with increasing standard deviations and the difference between
two successively blurred images are stacked up in a cube. This method
suffers from the same disadvantage as LoG approach for detecting larger