Image Processing in Physics

This course is an introduction without pre-requisites to scientific image processing, in the context of physics but also of medical sciences.

Starting from the basic elements of digital image coding, we will introduce the main techniques aiming first at improving the quality of image data, and then at extracting quantitative data. Deconvolutions, denoising, thresholding, segmentations, Fourier transforms, wavelets will be presented.

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

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

This course aims to give students a basic knowledge of image processing and analysis that will make them autonomous in the face of the specialized problems they will encounter in different experimental contexts.

Recommended Prerequisites:

Matlab/Octave programming.

Final exam on machine

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