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