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CVT-using-Opencv
A Jupyter Notebook demonstrating key computer vision techniques using OpenCV, including image filtering, edge detection, and morphological operations. Ideal for learning and applying digital image processing basics in Python.
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Digital Image Processing Project
This repository contains a Jupyter Notebook for a Digital Image Processing (DIP) project. It demonstrates fundamental image processing techniques using Python libraries.
📘 Contents
Image reading and display
Grayscale and binary conversions
Filtering and smoothing techniques
Edge detection using various algorithms
Morphological operations
🛠️ Requirements
Make sure the following Python libraries are installed:
numpy
opencv-python
matplotlib
Install them using:
pip install numpy opencv-python matplotlib
▶️ How to Run
Use Jupyter Notebook or JupyterLab to open and execute the DIP_Project.ipynb notebook.
jupyter notebook DIP_Project.ipynb
👤 Author
Likith Pyneni
📝 License
This project is for academic purposes only.
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