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

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

• Image processing, Analysis and Machine Vision / Sonka
• Reconnaissance des formes et analyse de scènes / Kunt

Prerequisite for

Semester project, Master project, doctoral thesis