GitHub topics: slic-superpixels
Fay-Balhareth/Lab-10
This lab introduces image segmentation techniques using global thresholding and Otsu's method; explore parameter tuning for Felzenszwalb and SLIC algorithms, adjusting scale, sigma, min_size, n_segments, and compactness parameters to optimize image segmentation results for different applications.
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sbAsma/SLIC_merging_SVM
SVM classification of original spectral features fused with Haralick features.
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gazdimi/Image-Colorization Fork of ConOp/Image-Colorization
Teamwork - Image colorization of grayscale image using a training dataset of relating colorful images
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arp95/slic_superpixels_image_segmentation
SLIC Algorithm for Superpixel generation.
Language: Jupyter Notebook - Size: 88.4 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0
