11. Image Processing
July 9, 2014 · View on GitHub
Full list of references in Chapter 11 of the IPython Cookbook, the definitive guide to high-performance scientific computing and data science in Python, by Dr. Cyrille Rossant, Packt Publishing, 400 pages, 2014.
Recipe 2
- API reference of skimage.filter.
- Noise reduction.
- Gaussian filter.
- Sobel filter.
- Image denoising.
- Total variation denoising.
- Split Bregman algorithm.
Recipe 3
- SciPy lectures note about image processing.
- Image segmentation.
- Otsu's method to find a threshold.
- Segmentation tutorial with scikit-image (that inspired this recipe).
- Mathematical morphology.
- API reference of skimage.morphology.
Recipe 4
- Corner detection example with scikit-image.
- Image processing tutorial with scikit-image.
- Corner detection.
- Structure tensor.
- Interest point detection.
- API reference of
skimage.feature.
Recipe 5
- Cascade tutorial with OpenCV (C++).
- Train your own cascade.
- OpenCV's cascade classification API reference.
- Viola–Jones object detection framework.
- Boosting, or how to create one strong classifier from many weak classifiers.