A generic, STL-like and image-agnostic C++ library for connected component labelling and feature extraction.
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Updated
Dec 12, 2015 - C++
A generic, STL-like and image-agnostic C++ library for connected component labelling and feature extraction.
Computes graph connectivity for large graphs
Practical activity #2, Data Structures, in Computer Engineering graduation.
Final project in Parallel Computation
An image processing library, including methods of filtering, object detection, noise reduction, etc
Implemented parallel and distributed algorithms using OpenMP, Apache Spark and NVIDIA CUDA
The implementation of algorithm Parallel graph component labelling with GPUs and CUDA.
Connected Component Labelling
Topics learned and implemented as part of Computer Vision course
Connected Component Labelling using opencv
Implementation of Basic Digital Image Processing Tasks in Python / OpenCV
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
Code for Parallel Algorithms assignments (Fall 2019).
A program to inspect images of o-rings for visible defects.
Demonstration of a few useful segmentation algorithms.
This repository contains the implementation of an Object Detection and Classification & Line and Circle Detection Application
JavaANPR: Automatic Number Plate Detection of Vehicle Images Based On Edge Detection and Morphological Approach
A Connected Component Labelling algorithm implemented in CUDA
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