Image acquisition and processing

• Introduction: examples of application of the image processing from several domains, medical applications, industry, HCI...
• Human vision fundamentals 
• Acquisition
• Definitions : the image processing chain
• Quantification : spatial, spectral and intensity color representation different acquisition modalities sensor,sensor+source,...
• Acquisition devices : CCD, CMOS, vidicon ultrasound light time-of-flight (TOF)
• Notions of compression : run-length-coding, hierarchical decomposition, Jpeg lossy compression
• Pre-processing - Histogram based image enhancement
• Linear filtering Fourier transform
• Fourier domain processing : e.g. interlaced image correction pattern matching
• Image restoration : Wiener filtering rank filter
• Morphomatematics definitions : ensemble, structuring element
• Basic operators : erosion, dilation, duality combined operators : opening, closing
• Hit-or-miss operator thinning and opening : skeleton, pruning,...
• Gray-level morphology watershed transform
• Segmentation/ object detection pixel based : threshold : optimal, Otsu
• Color segmentation border based: gradient, Laplacian, LoG
• Region based : split and merge, watershed(recall) mean-shift
• Hough transform
• Object description binary, image labelling, chain code, polygonal approximation, Fourier descriptors, invariant moments, convexity, fractal dimension, texture

Become familiar with basic numerical image processing

• be able to recognize image properties
• to apply basic filtering and denoising
• to segment an image using classical methods
• theoretical and practical skills are expected.

Cours ayant celui-ci comme co-requis

Ex cathedra + practical work

References, bibliography, and recommended reading

• Handbook of Image & Video Processing
• Alan C. Bovik (Editor)
• Digital Image Processing: Concepts, Algorithms, and Scientific Applications
• Bernd Jahne (Author)
• Digital Image Processing
• Rafael C. Gonzalez (Author), Richard E. Woods (Author)
• Image Processing, Analysis, and Machine Vision
• Milan Sonka (Author), Vaclav Hlavac (Author), Roger Boyle (Author)
• A Wavelet Tour of Signal Processing, Second Edition (Wavelet Analysis & Its Applications).. Stephane Mallat (Author)
• The Image Processing Handbook, Second Edition
• John C. Russ (Author)
• Handbook of Medical Imaging: Processing and Analysis Management (Biomedical Engineering)
• Isaac Bankman (Editor)
• Handbook of Medical Imaging, Volume 2. Medical Image Processing and Analysis
• J.Michael Fitzpatrick (Author), Milan Sonka (Author)
• Active Contours: The Application of Techniques from Graphics, Vision, Control Theory and Statistics to Visual Tracking of Shapes in Motion
• Andrew Blake (Author), Michael Isard (Author)
• Handbook of Computer Vision and Applications, Three-Volume Set
• Bernd Jahne (Editor), Horst Haussecker (Editor), Peter Geissler (Editor)
• Mathematical Methods and Algorithms for Signal Processing
• Todd K. Moon (Author), Wynn C. Stirling (Author)
• Pattern Recognition Engineering
• Morton Nadler (Author), Eric P. Smith (Author)
• Mathematical Morphology in Image Processing (Optical Science and Engineering) [Hardcover]
• Edward Dougherty (Author)
• Digital Image Processing Methods (Optical Science and Engineering)
• Dougherty (Author)

Course notes

• Podcast
• Université virtuelle

Contacts

odebeir@ulb.ac.be

Campus

Solbosch

Method(s) of evaluation

• Oral examination
• Written report

Oral examination

Written report

• The evaluation of the practical work will be done on the basis of a series of assignments to be handed in during the term.
• Oral exam without note, depending on the circumstances, exam can be done remotely using Teams.

Mark calculation method (including weighting of intermediary marks)

80% oral exam + 20% on the quality of Practice work
oral exam (2 questions without notes)

• 1 theory question 50%
• 1 problem based question 50%

Language(s) of evaluation

• english
• (if applicable french )