On Sun, Jun 30, 2013 at 10:11 PM, Tony Yu <tsyu80@gmail.com> wrote:

On Sun, Jun 23, 2013 at 4:16 AM, Dan <dkin@walla.co.il> wrote:

...

Hi,

I wish to perform first (histogram based mean, stdev, smoothness, skewness, uniformity and entropy) and second order (GLCM based contrast, correlation, energy, homogeneity) statistical texture features of an image. is it possible in scikit-image?

If so a small script will be a huge help.

Thanks.

Hi Dan,

Sorry for the delayed reply. GLCM is implemented, as shown in this example:

http://scikit-image.org/docs/dev/auto_examples/plot_glcm.html

Unfortunately, only a handful of statistics are currently calculated. It's not too difficult to calculate your own since you have access to the GLCM. More statistics should be added to the base implementation, though.

Also, the mahotas <http://pythonhosted.org/mahotas/index.html#> package implements GLCM-based Haralick features. Best, -Tony