This repository implements a texture feature called Shape-based Invariant Texture Analysis (SITA) proposed by Xia et al. [1].

• OS: Mac OS X (10.9 or 10.11)
• Language: Python 2.7.* (Anaconda 2.4.*)
• Modules: Numpy, Matplotlib, OpenCV, NetworkX, Cython

python setup.py build_ext --inplace
python SITA.py [image file]

cd 10foldcv-svm
python 10foldcv_SVM_multithread.py [kernel]

Some of the Brodatz dataset images are stored in brodatz_sample directory.
Brodatz dataset

1. X.-S. Xia, J. Delon, and Y. Gousseau, "Shape-based Invariant Texture Indexing," International Journal of Computer Vision (IJCV), vol.88, no.3, pp.382–403, 2010.
2. T. Géraud, E. Carlinet, S. Crozet, and L. Najman, "A quasi-linear algorithm to compute the tree of shapes of nD images," International Symposium on Mathematical Morphology (ISMM), pp.98-110, 2013.