EE-451 / 4 credits

Teacher: Thiran Jean-Philippe

Language: English


Summary

This course gives an introduction to the main methods of image analysis and pattern recognition.

Content

Learning Prerequisites

Recommended courses

Introduction to signal processing, Image processing

 

Learning Outcomes

  • Use Image Pre-processing methods
  • Use Image segmentation methods
  • Choose shape description methods appropriate to a problem
  • Use classification methods appropriate to a problem

Transversal skills

  • Use a work methodology appropriate to the task.
  • Make an oral presentation.
  • Identify the different roles that are involved in well-functioning teams and assume different roles, including leadership roles.
  • Assess one's own level of skill acquisition, and plan their on-going learning goals.
  • Summarize an article or a technical report.

Teaching methods

Ex cathedra and practical work and oral presentation by the students

 

Assessment methods

Continuous control

Resources

Bibliography

Reconnaissance des formes et analyse de scènes / Kunt

Image processing, Analysis and Machine Vision / Sonka

Ressources en bibliothèque

Prerequisite for

Semester project, Master project, doctoral thesis

In the programs

  • Semester: Spring
  • Exam form: During the semester (summer session)
  • Subject examined: Image analysis and pattern recognition
  • Lecture: 2 Hour(s) per week x 14 weeks
  • Practical work: 2 Hour(s) per week x 14 weeks
  • Semester: Spring
  • Exam form: During the semester (summer session)
  • Subject examined: Image analysis and pattern recognition
  • Lecture: 2 Hour(s) per week x 14 weeks
  • Practical work: 2 Hour(s) per week x 14 weeks
  • Semester: Spring
  • Exam form: During the semester (summer session)
  • Subject examined: Image analysis and pattern recognition
  • Lecture: 2 Hour(s) per week x 14 weeks
  • Practical work: 2 Hour(s) per week x 14 weeks
  • Semester: Spring
  • Exam form: During the semester (summer session)
  • Subject examined: Image analysis and pattern recognition
  • Lecture: 2 Hour(s) per week x 14 weeks
  • Practical work: 2 Hour(s) per week x 14 weeks
  • Semester: Spring
  • Exam form: During the semester (summer session)
  • Subject examined: Image analysis and pattern recognition
  • Lecture: 2 Hour(s) per week x 14 weeks
  • Practical work: 2 Hour(s) per week x 14 weeks
  • Semester: Spring
  • Exam form: During the semester (summer session)
  • Subject examined: Image analysis and pattern recognition
  • Lecture: 2 Hour(s) per week x 14 weeks
  • Practical work: 2 Hour(s) per week x 14 weeks
  • Semester: Spring
  • Exam form: During the semester (summer session)
  • Subject examined: Image analysis and pattern recognition
  • Lecture: 2 Hour(s) per week x 14 weeks
  • Practical work: 2 Hour(s) per week x 14 weeks
  • Semester: Spring
  • Exam form: During the semester (summer session)
  • Subject examined: Image analysis and pattern recognition
  • Lecture: 2 Hour(s) per week x 14 weeks
  • Practical work: 2 Hour(s) per week x 14 weeks
  • Exam form: During the semester (summer session)
  • Subject examined: Image analysis and pattern recognition
  • Lecture: 2 Hour(s) per week x 14 weeks
  • Practical work: 2 Hour(s) per week x 14 weeks
  • Exam form: During the semester (summer session)
  • Subject examined: Image analysis and pattern recognition
  • Lecture: 2 Hour(s) per week x 14 weeks
  • Practical work: 2 Hour(s) per week x 14 weeks

Reference week

 MoTuWeThFr
8-9     
9-10     
10-11     
11-12     
12-13     
13-14     
14-15     
15-16     
16-17     
17-18     
18-19     
19-20     
20-21     
21-22