AL-701 · Computer Vision/Official Syllabus
Computer Vision (AL-701) - Official Syllabus
1
Unit 1
Introduction to computer vision
- Introduction to computer vision
- Introduction to images
- Image Processing VS Computer Vision
- Problems in Computer Vision
- Basic image operations
- Datatype Conversion
- Contrast Enhancement
- Brightness Enhancement
- Different Bitwise Operations
2
Unit 2
Binary Image Processing
- Binary Image Processing
- thresholding
- Erosion / Dilation
- Overview on Opening and Closing
- Connected Component Analysis
- Contour Analysis
3
Unit 3
Image Enhancement and Filtering
- Color Spaces
- Color Transforms
- Histogram Equalization
- Advanced Histogram Equalization(CLAHE)
- Color Adjustment using Curves
- Introduction to Image Filtering
- What is Convolution
- Box Blur
- Gaussian Blur
- Median Blur
4
Unit 4
Introduction to Image Gradients
- First Order Derivative Filters
- Second Order Derivative Filters
- Edge Detection
- Image Segmentation and Recognition
- Image Classification
- Object detection
5
Unit 5
Applications of Computer Vision
- Gesture Recognition
- Motion Estimation and Object Tracking
- face detection
- Deep Learning with OpenCV
Reference Books
- Computer Vision-A Modern Approach
- Computer Vision and Image Processing: Fundamentals and Applications
- Computer Vision- Algorithms & Applications
- Digital Image Processing
- Machine Learning for Text and Image Data Analysis
- Computer Vision-A Modern Approach
- Computer Vision and Image Processing: Fundamentals and Applications
- Computer Vision- Algorithms & Applications
- Digital Image Processing
- Machine Learning for Text and Image Data Analysis
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