Grayskull: A Minimalist, Dependency-Free Computer Vision Library for Embedded Systems
By
gurjeet
Master baker tier. Every paragraph earns its place on the tray.
Summary
Grayskull is a minimalist, dependency-free computer vision library written in C99 specifically designed for resource-constrained embedded systems like microcontrollers, drones, and robotics. It focuses on grayscale image processing with modern algorithms that fit in just a few kilobytes of code. The library features a single-header design, integer-based operations, and includes essential computer vision functions such as image operations (copy, crop, resize), filtering (blur, edge detection, thresholding), morphology (erosion, dilation), geometry operations (connected components, perspective warp), and feature detection (FAST/ORB keypoints for object tracking).
Key quotes
· 5 pulledGrayskull is a minimalist, dependency-free computer vision library designed for microcontrollers and other resource-constrained devices.
It focuses on grayscale images and provides modern, practical algorithms that fit in a few kilobytes of code.
Single-header design, integer-based operations, pure C99.
Features: Image operations: copy, crop, resize (bilinear), downsample
Filtering: blur, Sobel edges, thresholding (global, Otsu, adaptive)
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