Image and video analysis

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Title

Image and video analysis

Lecturer

Pietro Pala, pietro.pala@unifi.it

Content and organization

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.

Course Type

AI PhD Curriculum

Host Institution

University of Florence

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Title

Lecturer

Content and organization

Course Type

Host Institution

Other short courses