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Johannes Schönberger
2012-11-10 08:35:23 +01:00
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To use this to build your Cython file use the commandline options:
.. sourcecode:: text
$ python setup.py build_ext --inplace
**To do**
To do
-----
* add simple examples, adapt documentation on existing examples
* add/check existing doc
* adapting tests for each type of filter
**General remarks**
General remarks
---------------
Basically these filters compute local histogram for each pixel. Histogram is build using a moving window in
order to limit redundant computation. The path followed by the moving window is given hereunder
Basically these filters compute local histogram for each pixel. Histogram is
build using a moving window in order to limit redundant computation. The path
followed by the moving window is given hereunder
...-----------------------\
/--------------------------/
\-------------------------- ...
A comparison is proposed with cmorph.dilate algorithm to show how computation costs evolve with respect to image size or
structuring element size. This implementation gives better results for large structuring elements.
A comparison is proposed with cmorph.dilate algorithm to show how computation
costs evolve with respect to image size or structuring element size. This
implementation gives better results for large structuring elements.
A local histogram is update at each pixel by introducing pixel entering the structuring element border and
by removing those leaving it. The histogram size is 8bit (256 bins) for 8 bit images and 2 to 12 bit (up to 4096 bins)
for 16bit image depending on the image maximum value. Image with pixels higher than 4095 raise a ValueError.
The filter is applied up to the image border, the neighboorhood used is adjusted accordingly. The user may provide
a mask image (same size as input image) where non zero value are the part of the image participating the the
histogram computation. By default all the image is filtered.
A local histogram is update at each pixel by introducing pixel entering the
structuring element border and by removing those leaving it. The histogram size
is 8bit (256 bins) for 8 bit images and 2 to 12 bit (up to 4096 bins) for 16bit
image depending on the image maximum value. Image with pixels higher than 4095
raise a ValueError.
The filter is applied up to the image border, the neighboorhood used is adjusted
accordingly. The user may provide a mask image (same size as input image) where
non zero value are the part of the image participating the the histogram
computation. By default all the image is filtered.