Otsu's Method and A Median Filter in Python

Question

I've tried looking around and have been unable to find any implementation of either Otsu's method or a median filter into Python other than OpenCV.These are the only two links of documentation for the OpenCV functions that I've tried.

http://opencv.willowgarage.com/documentation/c/image_filtering.html

http://www.cs.indiana.edu/cgi-pub/oleykin/website/OpenCVHelp/ref/OpenCVRef_Cv.htm#decl_cvThreshold3

I checked this post first but it never really seemed to have a full solution that fits my problem. Machine vision in Python

I'm basically looking to see if anyone knows any other functions that I can implement both Otsu's method and a median filter. I'm just trying to find alternatives before I have to program them into myself, but I would rather not have to reinvent the wheel unless necessary. Thanks for your help in advance, if you need some more specific information just let me know.

Answer 1

In response to the Otsu Method I was able to find an image processing packaged called Mahotas that contained it. All I had to do was easy_install it. The documentation can be found here. http://packages.python.org/mahotas/index.html?highlight=otsu#mahotas.otsu

Answer 2

I am not sure about Otsu's method but the Scipy library has a whole sub-library dedicated to image processing. For example here is the link to their multi-dimensional median filter:

http://docs.scipy.org/doc/scipy-0.9.0/reference/generated/scipy.ndimage.filters.median_filter.html#scipy.ndimage.filters.median_filter

Answer 3

The matlab image toolbox includes a built in median filter. http://www.mathworks.com/help/toolbox/images/ref/medfilt2.html

If you don't have the image processing toolbox, you can implement one using block processing.