Pattern Recognition for image analysis (TIC)

This course, entitled Pattern Recognition for Image Analysis, is intended for students in their 2nd year of graduate studies. The aim of this course is to enable students to understand the principles of Pattern Recognition methods for image analysis. Practical exercises (labs) with python and other tools accompany the theoretical training of this module.

Class: 2nd year of second cycle (master 2), Option : Artificial Intelligence and Data Science.

Objectives
       Upon completion this lesson, students should be able to:

      Define a pattern recognition system and its components.
      Understand the importance of feature extraction.
      Classify objects using bayes rule.