Image and video analysis

Course program

• Graylevel transforms, stretching, equalization
• Geometric transforms
• Image smoothing, linear and non-linear
• Detection of edges and interest points
• Geometric invariants
• Image thresholding, global and local models
• Mathematical morphology, binary and lattice
• Texture analysis, co-occurrence matrix, Gabor, Local Binary Patterns, Matrix covariance
• Image segmentation, k-means, hierarchical, Gaussian Mixture, MeanShift, DBSCAN, Normalized cuts, Spectral k-means, Watershed
• Motion field and optic flow, sparse and dense models for OF estimation
• Video background models
• Object tracking

Course organization
Classes are on Tuesday and Friday and include both theory and practice using Python. The teaching language is Italian. Course material (slides) and suggested books are in English.

AI PhD Curriculum