Computer Vision course materials

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Topics

Module 1: Getting Started with OpenCV in Python

1. Introduction to image

2. Basic image operations

3. Color spaces

4. Bitwise operations and PNG image with alpha channel

5. Image Annotation

6. Mathematical operations on images

7. Brightness and contrast adjustment

Module 2: Video IO and GUI

1. OpenCV GUI(HighGUI) in Python and Callbacks

2. Load and Save Video, and working with webcam, CCTV, and screenRecord in python

Module 3: Binary Image Processing

1. Thresholding

2. Morphological Transformations (Erosion / Dilation /Opening / Closing / ...)

3. Connected Component Analysis

4. Contour Analysis

5. Blob Detection

Module 4: Image Enhancement and Filtering

1. Color Spaces

2. Color Transforms

3. Image Filtering and Image Smoothing

4. Image Gradients

Module 5 : Advanced Image Processing and Computational Photography

1. Hough Transforms

2. High Dynamic Range Imaging

3. Seamless Cloning

4. Image Inpainting

Module 6 : Geometric Transforms and Image Features

1. Geometric Transforms

2. Image Features

Module 7 : Image Segmentation and Recognition

1. Image segmentation using GrabCut

2. Introduction to AI

3. Image Classification

4. Object Detection

Module 8 : Video Analysis

Motion Estimation using Optical Flow

Background-subtraction

Object Trackers in OpenCV

Multiple Object Tracking using OpenCV

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