GUI based Smart Sudoku Solver that tries to extract a sudoku puzzle from a photo and solve it

Jittor and Pytorch code for paper "Deep Hough Transform for Semantic Line Detection" (ECCV 2020, PAMI 2021)

[ECCV-20] Official PyTorch implementation of HoughNet, a voting-based object detector.

Problem Set solutions for the "Introduction to Computer Vision (ud810)" MOOC from Udacity

Rectangle detection using the Hough transform

Real-time detection of documents in images

Detecting lines in binary edge-image using CNNs

3d line detection from pointcloud using Hough Transform

https://towardsdatascience.com/tutorial-build-a-lane-detector-679fd8953132

Kernel-Based Hough Transform for Detecting Straight Lines in Images

Canonical Voting: Towards Robust Oriented Bounding Box Detection in 3D Scenes (CVPR2022)

Tracklet-less Heliocentric Orbit Recovery

Implementation of Hough Transform to detect Circles in an Image

This project is for the ultimate manner of identifying the License Plate. Combining YOLOv7 object detection, Hough transform alignment, and CNN character recognition

A 3D Viewer for CTs of Polychromed Wood Sculptures

Applies Generalised Hough Transform to object detection in images.

Computer-assisted image straightening and cropping

Implementation of Simple Hough Circle Detection Algorithm in Python

Autonomous wind blade inspection using Hough line transformation, canny edge detection and stereo vision.

This repo includes solutions to all the 'in the class quizzes' and 7 problem sets of the Introduction to Computer Vision course (G Tech CS6476 - on Udacity)

This repository contains projects related to various aspects of image processing, from basic operations to advanced techniques like active contours. Examples and case studies focus on applications in medical imaging.

Python realization of Hough Transform algorithm for detecting planes in 3D point clouds.

This repository implement some image processing to know how they work internally. Includes Canny, Gaussian Blur, Hough edge detection, Crop with perspective.

Circular Hough transform is used for detecting circles in images. This is a basic implementation of CHT using Matlab

Inverse Filtering, Wiener Filter, Image Restoration, Hough Transform, Image segmentation using watershed, thresholding, region growing and region splitting and merging

Circles detections in images, using Hough Transform and RANSAC

cpp implementation for algorithms in the book "digital image processing and computer vision"("数字图像处理与机器视觉-Visual C++与Matlab实现")

DeDA: Differentiable Image Integration Library

Correct Skewed pdf documents using Hough Line Transform and Fourier Transform

Basic lane detection program written in C++