CSVTU, VAC, CG, AI Advanced AI, Unit - 2, Lecture 0207: Foundations of Computer Vision with Images and Pixels
👨🏫 Instructor: Meetu Tiwari
📚 Course: Artificial Intelligence (Value Addition Course – CSVAC-01)
🏫 Offered by: CSVTU, Department of Computer Science
🎯 Credits: 2 | 💡 Level: Beginner | ⏱️ Duration: 30 Minutes
🔍 What You’ll Learn in This Lecture
This lecture is the starting point for understanding how machines “see” using AI. You’ll learn about:
✅ How images are stored, read, and processed
✅ The role of pixels, resolution, and image formats
✅ Differences between grayscale and color images
✅ RGB, HSV, and other color models used in AI
✅ How OpenCV handles image processing
✅ Basic concepts like image histograms, thresholding, and edge detection
✅ Real-time image and video processing
✅ Applications of computer vision in devices, apps, healthcare, and more
✅ The ethics of computer vision and responsible AI use
📌 Lecture Highlights
🧠 Pixels & Digital Images
Pixel grid, intensity values, 8-bit/24-bit images
Image matrices and file formats
🌈 Color Spaces
RGB, HSV, LAB, YCrCb
Conversion between formats using OpenCV
📊 Image Preprocessing
Normalization, resizing, noise removal
Thresholding, histogram equalization, augmentation
🔍 Feature Detection
Edges, textures, and their importance in classification
Algorithms: Canny, Sobel, Laplacian
🎥 Video & Real-time CV
Frame-by-frame image processing
Applications in surveillance, AR, and robotics
🧰 Tools Used
OpenCV, NumPy, Python libraries
Easy integration into ML/DL workflows
🔐 Ethics & Real-World Use Cases
Face unlock, AR filters, X-ray analysis
Privacy concerns and dataset bias
Industrial and healthcare deployments
🎓 Why Watch This Lecture?
If you’re just starting with AI or computer vision, this lecture helps you understand how machines analyze images and videos. From camera input to AI models, every step relies on these fundamental concepts.
Perfect for engineering, science, and interdisciplinary students, this session follows the official CSVTU AI VAC syllabus and prepares you for practical AI projects.
🔗 Explore More Courses: https://csvtu.org.in/cg-vac-courses/
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