Course title

Digital Image Processing and Analysis

Lecture type

Elective

Course code

183463

Semester

6

ECTS

5

Lecturers and associates

• Full Professor PhD Sven Lončarić
• Assistant Professor PhD Tomislav Petković
• Associate Professor PhD Marko Subašić

Course objectives

Light and EM spectrum; Human visual system; Image sampling and quantization; Discrete geometry; Image sensors; Application areas.
2D linear systems; Basic image processing operations.
2D Fourier transform; 2D discrete cosine transform; 2D discrete sine transform; 2D discrete wavelet transform; Karhunen-Loeve transform; Interpolation techniques; Geometric transforms.
Gray-level transformations; Histogram operations; Spatial filtering; Median filtering; Homomorphic filtering.
Image degradation models; Noise models; Inverse filter and pseudoinverse filter; 2D Wiener filtering.
Color representation; Color models; Color spaces; Color transformations.
Application areas; Project.
Midterm exam.
Edge and corner detection; Scale space; Orientation Histogram; Hessian operator; Curvature estimation; Detection of discontinuities.
Image segmentation; Boundary detection; Thresholding; Region growing; Watershed segmentation; Segmentation by motion; Mean shift cllustering; Graph-based methods; Hough transform.
Shape analysis; Region representation; Boundary descriptors; Region descriptors; Shape description methods; Classification of shape; Texture features; Texture analysis; Texture analysis; Shape analysis; Dilation and erosion; Opening and closing; Thinning and skeletons; Grayscale morphology.
Motion analysis.
Project.
Project.
Final exam.

Required reading

(.), S. Loncaric. M. Subasic. Lectures Notes in Digital Image Processing and Analysis,
(.), Gonzalez, Woods. Digital Image Processing, 3rd Ed., Pearson, 2007