There are 1 repository under connected-component-labelling topic.
Implementation of Basic Digital Image Processing Tasks in Python / OpenCV
This repository contains the implementation of an Object Detection and Classification & Line and Circle Detection Application
The implementation of algorithm Parallel graph component labelling with GPUs and CUDA.
Computes graph connectivity for large graphs
Demonstration of a few useful segmentation algorithms.
A generic, STL-like and image-agnostic C++ library for connected component labelling and feature extraction.
An image processing library, including methods of filtering, object detection, noise reduction, etc
Connected Component Labelling using opencv
Connected Component Labelling
App which solves the puzzles from the game Flow Free!
Matlab image processing programs without using built-in functions.
Flow Puzzle Solver logic in CPP
Extraction of connected components from the images with PGM file format using Otsu's thresholding and BFS/DFS methods
Data Structures: Arrays, Stacks, Queues, Graphs applications in image processing, tag parsing and routes/maps respectively.
This repository is a collection of fundamental digital image processing operations and algorithms performed on greyscale images, or Portable Grey Map (PGM) files, using different data structures in C++, as part of an assignment and final project module for the Data Structures (CS2001) course.
A program to inspect images of o-rings for visible defects.
Implemented parallel and distributed algorithms using OpenMP, Apache Spark and NVIDIA CUDA
Final project in Parallel Computation
Practical activity #2, Data Structures, in Computer Engineering graduation.
Repository for my Data Structures and File Processing course at SUNY Oswego taught by Prof. Ioana Coman during the spring 2019 semester.
All assignments completed as a part of my Digital Image Processing Course
Topics learned and implemented as part of Computer Vision course