Literature
R. C. Gonzalez , R. E. Woods: Digital Image Processing (4th Edition), 2017 E. Sojka: Digitální zpracování a analýza obrazu, 2000
Week 1
Course introduction, Introduction to OpenCV The template for the exercises is here
Week 2
Holiday
Week 3
Intensity Transformations, Convolution, Median filter
Week 4
Edge detection
Week 5
Image segmentation
Week 6
Advanced Image segmentation Methods
Week 7
Hough Transform - hints for the exercise
Week 8
Binary image processing - mathematical morphology, indexing
Week 9
Image features (moments, HOG)
Week 10
Object classification (etalons, k-means)
Week 11
Neural networks
Assignments
| Task | Points |
| Convolution | 5 |
| Edge Detection (First derivate + Sobel + Laplace) | 5 |
| Image thresholding | 5 |
| Line or Cicle Detection using Hough Transform | 5 |
| Indexing | 5 |
| Features computing | 5 |
| Classification using etalons and k-means | 5 |
| Classification using neural network | 5 |
Exam
| HOG+NN on parking lots | 20 |
| Two questions from this list | 40 |