Image Processing and Camera Calibration Projcets and Laboratory Exercises

Digital Image Processing and Analysis (DIPA)

Lab Exercise 1

Image representations, Unary operations on the image, Binary operations, Linear convolution

Lab Exercise 2

Quantization, Sampling, Pixelization, Alias effect, Moiré effect

Lab Exercise 3

Discrete Fourier transform, Image filtering, Discrete cosine transform, DCT and image compression

Lab Exercise 4

First order histogram, Histogram modeling, Average filtering and median filtering, Unsharpness removal

Lab Exercise 5

Image acquisition systems, Image restoration, Inverse filter, Pseudo-inverse filter, Wiener filter

Lab Exercise 6

Spatial features, Amplitude features, Texture features, First order histogram features, Second order histogram features, Edge detection: Sobel and Prewitt operator, Compass operators, Laplacian operator for edge detection

Lab Exercise 7

Amplitude segmentation, Automatic determination of the threshold, Extraction of edges, Texture segmentation

Lab Exercise 8

Image registration, Optical flow

Sensors, Perception, and Actuation in Robotics (SPAR)

Lab Exercise 3 - Camera Calibration with Planar Calibration Target

• Camera calibration with synthetic noise-free measurements
• Camera calibration with synthetic noisy measurements
• Camera calibration with real data

Lab Exercise 4 - Feature Detection and Optical Flow

• Harris corner detector
• Optical flow

Robotics Practicum (PRAROB)

• Robotics Practicum Project - image segmentation and filtering, finding the center of mass, color segmentation, pattern recognition on images

Credits

© Faculty of Electrical Engineering and Computing, University of Zagreb, 2022/2023

Contributors names and contact info

Author	GitHub	e-mail
Enio Krizman	@kr1zzo	enio.krizman@fer.