Digital image processing is the use of algorithms to make computers analyze the content of digital images.
RetroSpectra is a real-time facial emotion detection application. It uses advanced machine learning techniques to identify human emotions from live video feed. The application leverages a pre-trained model to accurately detect and classify emotions, providing an interactive and engaging user experience.
Implementing Steganography from scratch using Python.
Final year college project, based on Digital Image Processing, Computer Vision and Deep Learning. It is aimed towards helping visually impaired people to access digital media and information of their surrounding, through text recognition and objection classification.
An indigenous system design for anomaly detection from CCTV camera feed
Digital Image Processing (OpenCV - Python)
This Repository is all about the popular Digital Image Processing Lab concepts and their variations, which can be helpful to Machine learning. I have tried Digital Image Processing Lab for all problem solutions using Python Programming Language and the Jupyter Notebook program.
Este proyecto es un prototipo de aplicación en C++ con interfaz Qt. Aplica transformaciones, muestra información relevante y opera filtros en el Bitmap para comprender los fundamentos de Visión por Computadora y Procesamiento Dígital de Imágenes.
This is a preliminary project designed for processing and cataloging digital photo
Paint on a virtual canvas using your webcam and your hands with a selection of tools
Aplicação desenvolvida como método de avaliação para a disciplina de Processamento de Imagens 2024.1
Digital Image Processing Lab, Islamia College, Peshawar
Introducing my Python-based Document Scanner! Using Digital Image Processing Leveraging Digital Image Processing, this tool efficiently captures and processes documents, offering seamless scanning capabilities for various needs. #Python #ImageProcessing #DocumentScanner
digital-image-processing (dip) with [learnwithfair, Learn with fair, Rahatul Rabbi, Md Rahatul Rabbi ,rahatulrabbi]
A fully automated Rover that detects fire using Digital Image Processing. Goes near it and stops at a safe distance and extinguishes the fire.
Digital Image Processing, Computer Science AGH UST course
Application for pseudo coloring of medical images - here all colormaps are implemented from scratch. The paper we implemented is available in the repository.
The system should utilize state-of-the-art facial recognition algorithms to accurately identify individuals based on their unique facial features. Advanced machine learning models should enable the system to adapt to diverse scenarios, including varying lighting conditions, facial expressions, poses, and occlusions, ensuring reliable and precisely.
课件：数字图像处理，深度学习，计算机视觉，机器学习
Experimental study on the acoustic emission of an air bubble in water.