bg-new

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

    Other short courses

    10. 04. 2024 Go

    Ethics & STICs

    01. 03. 2024 Go

    Computer Vision

    24. 11. 2023 Go

    Human Rights Toolbox

    21. 02. 2023 Go

    Computer Vision

    11. 05. 2022 Go

    Geometric learning

    05. 04. 2022 Go

    Computer Graphics

    04. 04. 2022 Go

    Bayesian Learning

    02. 04. 2022 Go

    Computer Graphics

    31. 03. 2022 Go

    Web of Data

    28. 03. 2022 Go

    Machine Learning

    27. 03. 2022 Go

    Machine Learning

    02. 03. 2022 Go

    Player Modeling

    28. 02. 2022 Go

    Player Modeling

    21. 02. 2022 Go

    Affective Computing

    21. 02. 2022 Go

    Machine Listening

    21. 02. 2022 Go

    Computer Vision

    21. 02. 2022 Go

    Computer Vision

    21. 02. 2022 Go

    Self-Driving Cars

    21. 02. 2022 Go

    Deep Learning

    21. 02. 2022 Go

    Deep Learning 2

    09. 07. 2021 Go

    Self-Driving Cars

    09. 07. 2021 Go

    Computer Vision

    09. 07. 2021 Go

    Deep Learning

    17. 06. 2021 Go

    Deep Learning School

    17. 06. 2021 Go

    Memory Network

    02. 06. 2021 Go

    Machine Listening

    02. 06. 2021 Go

    Affective Computing

    02. 06. 2021 Go

    Deep Learning 2

    01. 06. 2021 Go

    Computer Vision

    Cookie Settings

    A AIDA - AI Doctoral Academy may use cookies to remember your login data, collect statistics to optimize the functionality of the site and to perform marketing actions based on your interests.

    No

    These cookies are necessary to allow the main functionality of the website and are automatically activated when you use this website.
    These cookies allow us to analyze the use of the website, so that we can measure and improve its performance.
    Allow you to stay in touch with your social network, share content, send and post comments.

    Required Cookies They allow you to personalize the commercial offers that are presented to you, directing them to your interests. They can be own or third party cookies. We warn you that, even if you do not accept these cookies, you will receive commercial offers, but without meeting your preferences.

    Functional Cookies They offer a more personalized and complete experience, allow you to save preferences, show you content relevant to your taste and send you the alerts you have requested.

    Advertising Cookies Allow you to stay in touch with your social network, share content, send and post comments.


    Privacy Policy