B31XB - Introduction to Image Processing

Table of Contents

• Information about the module
• Course description
• Course outline
• Additional material

Information about the module

• ViBOT & MsCV - Universite de Bourgogne
• Instructors: Fabrice Meriaudeau, Guillaume Lemaitre.
• Contact: Contact email for personal queries.

Course description

To provide a basic knowledge of the digital image world.

Course outline

ViBOT & MsCV

• Lecture sessions

1. Lecture 1: Fondamentals in Digital Image Processing
2. Lecture 2: Intensity Transformations and Spatial Filtering
3. Lecture 3: Fourier Transform and Frequency Filtering
4. Lecture 4: Image denoising
5. Lecture 5: Color Image Processing
6. Lecture 6: Image Segmentation
7. Lecture 7: Morphological Image Processing
8. Lecture 8: Image Restoration

• Practise sessions

1. Prerequisite: Scientific Python Lectures
2. Practise 1: Introduction to skimage
3. Practise 2: Compression and segmentation

Software prerequisite

The practises are using Python. We advise you to use the Anaconda bundle. Download Anaconda here and follow the instructions. Furthermore, you will need to install the following packages for the practise:

• ipython notebook - conda install ipython-notebook
• scikit-image - conda install scikit-image

Additional material

Supplement material can be found in the following wonderful books:

• Digital Image Processing, R.C. Gonzalez and R.E. Woods,

The following guides can be useful to use git and github.