| TSEA69 | Image Processing, ECTS-points /Bildbehandling/ Advancement level: D | |
| Aim: To give basic knowledge of digital image processing (imaging/image reconstruction, image handling and image analysis) and give examples of applications and system solutions.Prerequisites: TSIT 64, Signal Theory Y or TSIT 66, Signal Theory D.Course content: Introduction: Overview, Digital images. Models for image processing and analysis. Problem areas and applications. Twodimensional signal processing: Signal and frequency domain in two dimensions. 2D-Fourier transform and 2D FFT. Filters in the signal and frequency domain. Convolution. Optimal filters and noise suppression. Image restoration. Resampling. Edge and line detectors. Basis functions. Rotation invariant operators. Pyramid structures. Nonlinear image operations: Median filters. Anisotrop filters. Histogram techniques. Thresholding. Segmentation. Binary images: Mathematical morphology. Shrinking/Expansion, thinning, skeletonising. Generalisation to gray level images. Distance maps. Form factors. Feature extraction. Segmentation/ Labelling. Contour following. Chain coding. Polygon approximation. Imaging: Optical systems. Resolution. Shading correction. Tomographic reconstruction. Range cameras. Course literature: Compendium. | ||
| LAB 1 | Labratory work | |
| TEN 1 | Written examination | |