This repository explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which students can apply…

Procedural terrain generator with tessellation | C++ OpenGL 4.1

Sobel is first order or gradient based edge operator for images and it is implemented using verilog.

The project presents a comparative study of Brain Tumor Segmentation using 3 approaches - 1) Sobel Operator and U-Net, 2) V-Net, 3) W-Net

It is done using MATLAB (Matrix Laboratory). Independent Project.

Implementation of Popular Digital Image Processing Filtering Operations

Easy to use edge detection library using canny edge detection algorithm and sobel operators, with some other utilities to remove boiler-plate code for applications.

This repository contains the implementation of Image Processing Benchmarks running on Arm Cortex-A9 processor available in Xilinx Zynq 7000 SoC on Avent Zedboard.

This is small image processing project which can read&write pgm images in C language and applies sobel edge detection on them.

PYNQ Image Processing on Ultra96

Borde is a GPU-accelerated edge detection app written in C++ and CUDA. It is designed to be fast, easy to use, and easy to integrate into existing projects. Borde is licensed under the MIT license.

Edge detection using the Sobel operator written in C++ and Assembly

Detecting and coloring edges according to their direction using NxN kernel convolutions implementation.

ImageContrastEnhancement is a demonstration of the capabilities of convolutional genetic algorithms in image processing, specifically in the area of contrast enhancement.

All the filters created for The Digital Polaroid with complete assets and project files.

A single page HTML and pure JS app that creates an infinity mirror, edge detection and runs on mobile & desktop..

Edge detection in images

An Image Triangulizer

Execution time comparison between applying Sobel filter on CPU vs GPU

This project implements a pyramidal Lucas-Kanade algorithm in Python to estimate motion between video frames, using image pyramids and OpenCV for robust multi-scale tracking, tested on the Dimetrodon dataset.