o0o0o0o0o0o0o/image-processing-from-scratch resource
This project contains some interesting image processing algorithms that were wrote in python and c++ from scratch. observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2744
- days_rel: n/a
- days_push: 932
- n_releases_24m: 0
Adoption not part of the score
1091 stars · 300 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A collection of classic image processing and computer vision algorithms implemented from scratch in Python and C++, including Canny edge detection, Hough transform, SIFT, watershed segmentation, and image matting. It is designed as an educational resource for understanding the principles behind these algorithms rather than a production library.
Use cases
- learn how canny edge detection works internally
- understand sift feature extraction implementation
- study image segmentation algorithms like watershed and meanshift
- see a from-scratch implementation of hough transform
- learn closed-form image matting
- understand haze removal with dark channel prior
- study ransac-based image stitching
When to choose
- you want to learn the internals of classic computer vision algorithms
- you need readable reference implementations to complement OpenCV
- you are teaching or studying image processing fundamentals
When to avoid
- you need a production-ready, performant image processing library
- you want a maintained API or stable package to integrate into an application
- you need GPU acceleration or batch processing of many images
Facets
learning-resource · maturity maintenance
image-processing computer-vision math computer-vision image-processing education python cpp cross-platform from-scratch educational edge-detection feature-extraction image-segmentation sift hough-transform opencv algorithm algorithms
1 source
- readme: https://github.com/o0o0o0o0o0o0o/image-processing-from-scratch · fetched 2026-08-28 · 559583c79048
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| o0o0o0o0o0o0o/image-processing-from-scratch | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="o0o0o0o0o0o0o/image-processing-from-scratch")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem