To introduce participants to the fundamentals of digital image processing using Python, enabling them to understand, implement, and apply basic image analysis techniques for academic, research, and practical applications.
🎓 Objectives
Understand the fundamentals of digital image processing and its real-world applications.
Set up Python environment with OpenCV, NumPy, and Matplotlib.
Perform operations like reading, resizing, and saving images.
Apply enhancement techniques like histogram equalization, filtering, and edge detection.
Hands-on practice with real-world image datasets.
👨🏫 Resource Person
Dr. N. Vaijayanthi, M.E., Ph.D.
Professor, Department of Electronics and Communication Engineering,
Indra Ganesan College of Engineering, Tiruchirappalli, Tamil Nadu
📅 Workshop Schedule & Topics
Day 1: Fundamentals & Hands-on Basics
Introduction to Image Processing & Applications
Image Types: Grayscale vs RGB, PNG, JPG, TIFF
Setting up Python: NumPy, Matplotlib, OpenCV, PIL
Reading, displaying, resizing, cropping, and saving images