Implement texture classification and segmentation based on the 5x5 Laws Filters. Implement Scale Invariant Feature Transform (SIFT) which is an image feature extractor useful for representing the image information in a low dimensional form based on paper Lowe, David G. "Object recognition from local scale-invariant features." iccv. Ieee, 1999.. Used SIFT Features for Image Matching:

1. Brute Force Matching
2. FLANN Based Matching

1. Ubuntu/Windows
2. Python 3.6 + (preferably with anaconda)
3. OpenCV, Numpy, Pandas, Matplotlib, Scikit-learn

Use below command:

python filename.py