Some demos of my work:
Automatic texture categorization with DL (caffe network definition files):
These are the files for automatic texture categorization based on deep-learning model defined in caffe library.
Please note that these are exemplary files for input image of resolution 256x256 and 6 output classes. To change them please edit the deploy and train prototxts.
Some of the texture datasets used in the article:
Brodatz, VisTex, MeasTex and OhanianDubes datasets
Other datasets found in the Internet:
Texture recognition/analysis projects found in the Internet:
Texture classification with LBP