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GitHub / spsingh37 / Classical-computer-vision

This repo contains implementations of some of the classical computer vision algorithms/techniques for feature extraction, feature matching, image transformation, color image reconstruction, image denoising, image classification, and image segmentation.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/spsingh37%2FClassical-computer-vision

Stars: 0
Forks: 0
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 29.5 MB
Dependencies parsed at: Pending

Created at: 9 months ago
Updated at: 9 months ago
Pushed at: 9 months ago
Last synced at: 9 months ago

Topics: blob-detection, classical-computer-vision, feature-extraction, feature-matching, graph-cut, harris-corner-detector, homography-estimation, image-classification, image-denoising, image-reconstruction, image-segmentation, image-stitching, image-transformation, minimum-spanning-forest, mumford-shah-model, orb-feature-detection

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