Image processing notebooks

Notebooks for the Image Processing videos

Playlist: https://www.youtube.com/watch?v=rgJmji4rTpw&list=PLI3XOM9BWLSW6vTPxc9ZfSABS31o7HMub

Videos made for the INFO-H-500 (Image acquisition and processing) course at the Université Libre de Bruxelles.

Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
CT-Scan-Benign-Brain-Tumour.jpg		CT-Scan-Benign-Brain-Tumour.jpg
Caravaggio-The-Calling-of-Saint-Matthew-detail.jpg		Caravaggio-The-Calling-of-Saint-Matthew-detail.jpg
PyramidCompression.PNG		PyramidCompression.PNG
README.md		README.md
V1 - Image IO.ipynb		V1 - Image IO.ipynb
V10 - RGB vs HSV.ipynb		V10 - RGB vs HSV.ipynb
V11 - Distances in image space and colour space.ipynb		V11 - Distances in image space and colour space.ipynb
V12 - Creating a Magic Wand.ipynb		V12 - Creating a Magic Wand.ipynb
V13 - LUT.ipynb		V13 - LUT.ipynb
V14 - Autolevels.ipynb		V14 - Autolevels.ipynb
V15 - Equalization.ipynb		V15 - Equalization.ipynb
V16 - Kernel Convolution.ipynb		V16 - Kernel Convolution.ipynb
V17 - Mean and median filter.ipynb		V17 - Mean and median filter.ipynb
V18 - 2D Fourier Transform.ipynb		V18 - 2D Fourier Transform.ipynb
V19 - Fourier Filters.ipynb		V19 - Fourier Filters.ipynb
V2 - Image data type & color channels.ipynb		V2 - Image data type & color channels.ipynb
V20 - Morphological operations.ipynb		V20 - Morphological operations.ipynb
V21 - Sobel.ipynb		V21 - Sobel.ipynb
V22 - Canny.ipynb		V22 - Canny.ipynb
V23 - Hough.ipynb		V23 - Hough.ipynb
V24 - Manual thresholding.ipynb		V24 - Manual thresholding.ipynb
V25 - Optimal threshold.ipynb		V25 - Optimal threshold.ipynb
V26 - Otsu threshold.ipynb		V26 - Otsu threshold.ipynb
V27 - Region descriptors.ipynb		V27 - Region descriptors.ipynb
V28 - Greycoprops.ipynb		V28 - Greycoprops.ipynb
V29 - Texture segmentation.ipynb		V29 - Texture segmentation.ipynb
V3 - Computing a grayscale histogram.ipynb		V3 - Computing a grayscale histogram.ipynb
V30 - Markers for region growing.ipynb		V30 - Markers for region growing.ipynb
V31 - Region growing with the watershed transform.ipynb		V31 - Region growing with the watershed transform.ipynb
V32 - Distance Transform.ipynb		V32 - Distance Transform.ipynb
V33 - Object labeling.ipynb		V33 - Object labeling.ipynb
V4 - Numpy arrays - operations, indexing, masking.ipynb		V4 - Numpy arrays - operations, indexing, masking.ipynb
V5 - Normalized and cumulative histogram.ipynb		V5 - Normalized and cumulative histogram.ipynb
V6 - Entropy.ipynb		V6 - Entropy.ipynb
V7 - Subsampling and rescaling.ipynb		V7 - Subsampling and rescaling.ipynb
V8 - Pyramid compression.ipynb		V8 - Pyramid compression.ipynb
V9 - Grayscale co-occurrence matrix.ipynb		V9 - Grayscale co-occurrence matrix.ipynb
airplane.jpg		airplane.jpg
astronaut_noisy.jpg		astronaut_noisy.jpg
camera.jpg		camera.jpg
circles1.png		circles1.png
crossing.jpg		crossing.jpg
desert.jpg		desert.jpg
etretat.jpg		etretat.jpg
etretat_cropg.jpg		etretat_cropg.jpg
ex_enhance.jpg		ex_enhance.jpg
ex_wm.jpg		ex_wm.jpg
final.jpg		final.jpg
gredos (copy).jpg		gredos (copy).jpg
gredos.jpg		gredos.jpg
moire1.png		moire1.png
mri_brain.jpg		mri_brain.jpg
nuclei1.tif		nuclei1.tif
nuclei2.tif		nuclei2.tif
nuclei_mask.png		nuclei_mask.png
nyc.jpg		nyc.jpg
road.jpg		road.jpg
sat-ixl.png		sat-ixl.png
separ.png		separ.png
shannon.png		shannon.png
shapes.png		shapes.png
street.jpg		street.jpg
walking.jpg		walking.jpg
walking_noisy.jpg		walking_noisy.jpg
watermark.png		watermark.png
zebra.jpg		zebra.jpg

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