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Adrien Foucart
Information Systems
PhD thesis public presentation | Adrien Foucart
Deep Learning for Image Analysis
Image processing (33) | Image Segmentation | Object labeling & features
Image processing (32) | Image Segmentation | Distance transform
Image processing (31) | Image Segmentation | Watershed transform
Image processing (30) | Image Segmentation | Markers for region growing
Image processing (29) | Image Segmentation | Texture segmentation
Image processing (28) | Image Segmentation | Properties of the co-occurrence matrix
Image processing (27) | Image Segmentation | Region descriptors
Image processing (26) | Image Segmentation | Otsu threshold
Image processing (25) | Image Segmentation | Optimal threshold
Image processing (24) | Image Segmentation | Manual thresholding
Image processing (23) | Image Filtering | Line detection with the Hough Transform
Image processing (22) | Image Filtering | Edge detection with the Canny algorithm
Image processing (21) | Image Filtering | Edge detection with the Sobel filter
Image processing (20) | Image Filtering | Morphological operations
Image processing (19) | Image Filtering | Filters in Fourier space
Image processing (18) | Image Filtering | Understanding the 2D Fourier transform
Image processing (17) | Image Filtering | Mean and Median filters
Image processing (16) | Image Filtering | Kernel convolution
Image processing (15) | Image Filtering | Equalization
Image processing (14) | Image Filtering | Auto-levels
Image processing (13) | Image Filtering | Look-Up Tables (LUT)
Image processing (12) | Image Information | Creating a Magic Wand
Image processing (11) | Image Information | Distances: image space and colour space
Image processing (10) | Image Information | RGB vs HSV
Image processing (9) | Image Information | Grayscale co-occurrence matrix
Image processing (8) | Image Information | Pyramid compression
Image processing (7) | Image Information | Subsampling and rescaling
Image processing (6) | Image Information | Computing the image entropy