Computer Vision (SBE404B) - Spring 2018
Teaching Staff
Instructor: Assistant. Prof. Muhammed Rushdi
Demonstrators: Eng. Eslam Adel & Eng. Asem Alaa
Lecture Hours
Monday, 3rd slot (+ 2nd slot each two weeks).
Section Hours
Section | Day | Time Slot |
---|---|---|
1 | Tuesday | 1st |
2 | Tuesday | 2nd |
Office Hours
Day | Time |
---|---|
Tuesday | from 2pm to 6pm |
Wednesday | from 2pm to 6pm |
Grading
Item | Percent |
---|---|
Final Exam | 60% |
Semester work grades (Total) | 40 % |
Semester work grades | Percent |
---|---|
Midterm | 30% |
Project, Assignments | 50% |
Quizzes, Attendance | 20% |
Course Outline
Week | Content | Assignments |
---|---|---|
1 | Warming up with Python Basics | |
2 | Image Processing 1 (Operators) | Assignment 1 |
3 | Images in Frequency Domain | |
4 | Image Processing 2 (Image Filtering and Edge Detection) | Assignment 2 |
5 | Hough Transform (Line and Circle Detection) | |
6 | Corner Detection (Harris and Fast corner detectors) | Assignment 3 |
7 | Image segmentation (Thresholding, Region growing) | |
8 | Image segmentation (Clustering segmentation: k means and mean shift) | Assignment 4 |
9 | Git version control system | |
10 | Image features, feature descriptors, and feature matching |
Tutorials
- Week 1. Warming up with Python Basics:
- Week 2. Image Processing 1 (Operators):
- Week 3. Images in Frequency Domain:
- Week 4. Image Processing 2 (Image Filtering and Edge Detection) :
- Week 5. Hough Transform (Line and Circle Detection) :
- Week 6. Corner Detection (Harris and Fast corner detectors):
- Week 7. Image segmentation (Thresholding, Region growing) :
- Week 8. Image segmentation (Clustering segmentation: k means and mean shift):
- Week 9. Git version control system:
- Week 10. Image features, feature descriptors, and feature matching:
Assignments
-
Assignment 1: Images, Histograms, Gradients
-
Assignment 2: Spatial domain filters, Images in frequency domain
-
Assignment 3: Canny, Hough transform, Harris corner, Fast corner
-
Assignment 4 : Otsu thresholding, Region growing, Mean shift segmentation
-
Project : Course Project