Image Processing in Physics

This course provides a no-obligation introduction to scientific image processing, in the context of both physics and the medical sciences.

Starting with the basics of digital image coding, we will introduce the main techniques for improving the quality of image data, and then extracting quantitative data. Deconvolutions, denoising, then thresholding, segmentations, Fourier transforms and wavelets will be on the program.

We will conclude with the specific problems posed by image sequences (films) or 3D images such as MRI data in a medical context.

The tool used will be the Matlab/Octave programming environment.

This course is designed to give students a basic knowledge of image processing and analysis, enabling them to deal independently with the specialized problems they will encounter in different experimental contexts.

Recommended prerequisites :

Matlab/Octave programming.

Final exam on machine

• Introduction to OCTAVE/MATLAB
• Fundamental image processing tools
• Deconvolution, denoising, pre-processing
• Fourier and Wavelets
• Advanced segmentation
• Correlations, registration, 3D data
• MRI and spatial statistics tools