Fiches de cours

Image analysis and pattern recognition

EE-451

Enseignant(s) :

Thiran Jean-Philippe

Langue:

English

Summary

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

Content

Introduction

Digital image acquisition and properties.

Pre-processing: geometric transforms, linear filtering, image restoration.

Introduction to Mathematical Morphology

Examples and applications

Segmentation and object extraction

Thresholding, edge detection, region detection.

Segmentation by active contours. Applications in medical image segmentation.

Shape representation and description

Contour-based representation, region-based representation. Morphological skeletons

Shape recognition

Statistical shape recognition, Bayesian classification, linear and non-linear classifiers, perceptrons, neural networks and

unsupervised classifiers.

Applications.

Practical works on computers

 

 

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