le programme de master de recherche en génie des systémes intelligents

Traitement d'images numériques(ISI 523)

Nom du Cours Semestre du Cours Cours Théoriques Travaux Dirigés (TD) Travaux Pratiques (TP) Crédit du Cours ECTS
ISI 523 Traitement d'images numériques 1 3 0 0 3 6
Cours Pré-Requis
Conditions d'Admission au Cours
Langue du Cours Anglais
Type de Cours Électif
Niveau du Cours Master
Enseignant(s) du Cours İsmail Burak PARLAK bparlak@gsu.edu.tr (Email)
Assistant(e)s du Cours
Objectif du Cours Digital image processing is among the fastest growing computer technologies. Image and video modalities are considered as complex data structures due to multidisciplinary applications and broad range of file structures. With increasing computer power, it is now possible to do numerically many tasks that were previously done using analogue techniques. The objective of this course is to provide a brief introduction to methodologies applicable to digital image processing and to develop a foundation that can be used as the basis for further study and research in this field.
Contenus • Introduction, Image Representation, Image Encoding
• Intensity Transformations, Geometric Transformations
• Spatial Filtering, Fourier Transform, Short-Time Fourier Transform, Convolution
• Frequency Domain Filtering, Sampling
• Image Restoration, Image Enhancement
• Edge Detection-Sharpening
• Multi-resolution Analysis
• Image Pyramids
• Image morphology
• Wavelets
• Image Compression
• Applications: segmentation, watermarking, recognition
• Deep learning models in image & video
• Advanced topics: Video applications
Acquis d'Apprentissage du Cours
Méthodes d'Enseignement
Ressources Textbook(s):
R. Gonzalez and R. Woods Digital Image Processing, Pearson, 4th Edition, 2018
M. Sonka, V. Hlavac, and R. Boyle, Image Processing, Analysis and Machine Vision, 4th Edition Cengage Learning, 2015

Supplementary Books:
Alberto Fernandez Villan - Mastering OpenCV 4 with Python: A practical guide covering topics from image processing, augmented reality to deep learning with OpenCV 4 and Python 3.7 Packt Publishing, 2019
A. Murat Tekalp - Digital Video Processing (Prentice Hall Signal Processing) 2nd Edition, 2015
Ian Goodfellow, Yoshua Bengio, Aaron Courville – Deep Learning, MIT Press, 2016 https://www.deeplearningbook.org/
Imprimer le contenu du cours
Intitulés des Sujets Théoriques
Semaine Intitulés des Sujets
Intitulés des Sujets Pratiques
Semaine Intitulés des Sujets
Contribution à la Note Finale
  Numéro Frais de Scolarité
Toplam 0 0
Contrôle Continu
  Numéro Frais de Scolarité
Toplam 0 0
No Objectifs Pédagogiques du Programme Contribiton
1 2 3 4 5
Activités Nombre Durée Charge totale de Travail
Charge totale de Travail 0
Charge totale de Travail / 25 0,00
Crédits ECTS 0
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