On Sun, Jun 30, 2013 at 10:11 PM, Tony Yu email@example.com wrote:
On Sun, Jun 23, 2013 at 4:16 AM, Dan firstname.lastname@example.org wrote:
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.
Sorry for the delayed reply. GLCM is implemented, as shown in this example:
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.