mirror of
https://github.com/wassname/scikit-image.git
synced 2026-07-29 11:26:57 +08:00
36 lines
1.4 KiB
ReStructuredText
36 lines
1.4 KiB
ReStructuredText
To use this to build your Cython file use the commandline options:
|
|
|
|
.. sourcecode:: text
|
|
|
|
$ python setup.py build_ext --inplace
|
|
|
|
|
|
**To do**
|
|
|
|
* add simple examples, adapt documentation on existing examples
|
|
|
|
* add/check existing doc
|
|
|
|
* adapting tests for each type of filter
|
|
|
|
**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
|
|
|
|
...-----------------------\
|
|
/--------------------------/
|
|
\-------------------------- ...
|
|
|
|
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.
|
|
|