Babes-Bolyai University of Cluj-Napoca
Faculty of Mathematics and Computer Science
Study Cycle: Graduate
SUBJECT
| MII0017 | Optimisations in Image Processing |
| Teaching Staff in Charge |
Lect. LUPSA Radu, Ph.D., rlupsa cs.ubbcluj.ro |
| Aims |
|
Learning the main methods in image representation and processing. |
| Content |
|
1. Physical quantities representing in an image and physical phenomenons involved in the aquisition process.
2. Colors: physical fundamentals and representation systems (SPD, XYZ, Yxy, L*a*b*). 3. Image representations: pixel maps, geometrical representations, transforms (Fourier, wavelets). Issues regarding discrete domain (aliasing problems) and discrete valued images. Multiresolution representations. 4. Simple linear operations: translation, rotation, scaling; convolution: low-pas, high-pass, mid-pass filters. 5. Non-linear operations: contrast changes; morphological operations: erosion, dilatation, opening, closure, median filter, hit-or-miss, skeleton. 6. Image restauration: degradation model, Wiener filter. 7. Image analysis: edge and feature detection, image segmentation. 8. Compression methods. |
| References |
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1. Aurel Vlaicu, Prelucrarea digitală a imaginilor, Ed. Albastră, 1997
2. Rafael C. Gonzalez, Richard E. Woods, Digital Image Processing, Addison-Wesley, 1992. |
| Assessment |
|
The students will have a project, plus some auxiliary lab themes. Final grade is: 25% lab activity and 75% the project (final presentation).
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| Links: | Syllabus for all subjects Romanian version for this subject Rtf format for this subject |