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 Template for exercises is here
Week 2
Intensity Transformations
Week 3
Convolution, median filter
Week 4
Edge detection
Week 5
Hough Transform - hints for exercise (in Czech)
Week 6
Image segmentation
Week 7
Binary image processing - mathematical morphology, indexing
Week 8
Image features
Week 9
Object classification
Week 10
Neural networks
Assignments
| Task | Points |
| Histogram Equalization | 3 |
| Convolution + Median filter | 6 |
| Edge Detection (First derivate + Sobel or Laplace) | 5 |
| Line or Cicle Detection using Hough Transform | 6 |
| Image thresholding | 3 |
| Indexing | 5 |
| Features computing | 5 |
| Classification using etalons and k-means | 5 |
| Classification using neural network | 2 |
Exam
| HOG+NN on parking lots | 20 |
| Discussion + Questions | 40 |