Course Overview

* Digital images and representations
* Image quality improvment
* Image restauration and filtering
* Contours extraction
* Image segmentation
* Visual perception
* Colour images

3 lab sessions: 2x3h to illustrate some basic image processing methods + 1x3h to study an iris recognition algorithm

http://phelma.grenoble-inp.fr/en/studies/image-processing-first-level-5pmbipb8

Learning Achievement

Introduction to the basis techniques of image processing

Competence

Numerical images and representations
Image improvement
Image restoration and filtering
Contour extraction
Threshold, segmentation and classification
Visual perception
Digital color images

Course prerequisites

Basic notions of signal processing
Basic notions of Matlab programming

Grading Philosophy

Continuous assessment

Course schedule

Course type

Lecture

Online Course Requirement

Instructor

Alice Caplier

Other information

Course content can evolve at any time before the start of the course. It is strongly recommended to discuss with the course contact about the detailed program.

Please consider the following deadlines for inbound mobility to Grenoble:
- April 1st, 2020 for Full Year (September to June) and Fall Semester (September to January) intake ;
- September 1st, 2020 for Spring Semester intake (February – June).

Site for Inquiry