Introduction to Digital Image Processing. These lectures are in english.

• DIP-1Introduction (3MB)
• DIP-2Fundamentals (2MB)
• DIP-3DiscretProcessing (6MB)
• DIP-4ImageImprovement (6MB)
• DIP-5ImageAnalisys From Olivier Bernard
• DIP-Exercise (501kB)

An example of exam (in french):

• TdSI 2008 (113kB)
• Some ideas for correction (142kB)

Basics of information theory : entropy, mutual information, Shannon theorems. All in french…

Lectures

• 1-Entropie-Capacite
• 2- Codage de Source
• 3- Codage de Canal

• Introduction au turbo codage

• Problématique de compression d’image

• 4- Cryptage

Some Exercices:

• Exercices

Examples of Exams

• Exam and correction (1)
• Exam and correction (2)
• Exam and correction (3)

Langage C/C++ document for student (using QtCreator 2 as IDE/RAD) NoteCpp (1003kB)

Introduction to Algorithms and UML/C++ (short) [English]

• Lecture (3MB)
• Exercises Algorithms’ week (beginer) (110 kB)

Introduction to UML and OOP (C++) [French]

• IntroductionOO_Part1 (745kB)
• IntroductionOO_Part2 (908kB)
• IntroductionOO_Part3 (444kB)
• IntroductionOO_Part4 (503kB)
• IntroductionOO_Exercices (86kB)

Practices C++ (without classes)

• Parts 1 & 2 Questions Fr
• Part 3 Questions Fr
• Part 3 Questions En
• Parts 4-5-6 Questions Fr
• Parts 7 & 8 Questions Fr
• Lib files for parts 7 & 8
• Signal files for parts 7 & 8
• Examples of use

Practices OOP  (with classes) [French]

• TP POO_1 (178kB) TP1 Files (zip) (6kB)
• TP POO_2 (87kB) TP2 Files (zip) (2kB)
• TP POO_3 (115kB)
• Old Notes VC6 (1MB)

Examens C++ [French] : 2006, 2007

3D Robust Adaptive Region Growing for segmenting [¹⁸F]fluoride ion PET images

We propose a new Robust Adaptive Region Growing method (RoAd RG) based on two local parameters: the local mean value of the intensity function and the local mean value of the norm of the intensity gradient. This approach enables a better spread of the region growing inside the region of interest while avoiding the merge of outlier pixels. We applied positively our method to 3D [18F]fluoride ion PET images for segmenting bone structures and showed its superiority compared to a non adaptive method. pdf (336kB)

T. Grenier, C. Revol-Muller, N. Costes, M. Janier, G. Gimenez.

Multiparametric smoothing based on Mean shift procedure for ultrasound data segmentation

Segmentation of ultrasound data is improved when using multi-parametric approach. In this paper we propose the use of Multi-Parametric Mean Shift procedure (MPMS). Two derived processes are described: MPMS smoothing which achieves a multi-parametric filtering in the spatial-range domain and MPMS segmentation which takes benefit of this filtering for segmenting the multidimensional data. MPMS segmentation is particularly attractive, since it achieves an unsupervised segmentation. These methods were positively tested on three sets of simulated ultrasonic data, representative of various scatterers densities and also various scattering conditions. pdf (690kB) Poster(733kB)

Thomas Grenier, Chantal Revol-Muller, Franck Davignon, Olivier Basset, Gérard Gimenez.

Variable bandwidth Mean Shift for Smoothing ultrasonic images

As the variance of the statistics of ultrasonic data in a homogeneous tissue may be rather large and the statistics of different tissues may be very similar, a new filtering approach is proposed to enhance the contrast in ultrasonic images. It is based on the Variable Bandwidth Mean Shift algorithm adapted to the specificities of ultrasonic data. A fully automatic adaptive bandwidth selection in both range and spatial domains is described. Our method was compared to a Variable Bandwidth Mean Shift algorithm based on an adaptive range scale selection and a fixed spatial scale parameter. The results show the superiority of our method. pdf (410kB) Poster (176kB)

Thomas Grenier, Chantal Revol-Muller, Franck Davignon, Olivier Basset, Gérard Gimenez.

Digital_Signal_Processors_TG (1MB) Introduction to Digital Signal Processor. Basics about architecture, fixed and floating point numbers, pipeline, MAC, buses… .

A practice is also available TP-C54 (813kB) TP-C54.zip

Mean shift

IF2_PIC16_Full (9MB) This lecture is a global presentation of microcontroller and a more specific understanding of PIC16 familly.

Some exercices are also available here TDuC (6MB).

3 practices are here (based on a dedicated kit)

• practice 1 and 2 (3rd year) IF2_TPuC (2MB)
• practice 3 (4th year) IF3_TPuC (3MB)