10H30 lessons + 14H PW

Coefficient 1.5

The goal of this course is to present an overview of the problems and methods in image processing.

• Elementary tools and processing: arithmetic and logical operations, histogram, convolution, Fourier transform
• Restoration : denoising, deconvolution, quality metrics
• Feature detection (contours, lines, points …)
• Binary image processing, mathematical morphology
• Segmentation
• Pattern recognition

The different concepts covered by the lectures are illustrated through labs in matlab.

After this course, the student will be able to …

• Identify an image processing problem among those studied;
• List the different image processing problems studied;
• Identify the processing applied on an image;
• Describe the studied methods, their advantages, disadvantages and assumptions;
• Implement one of the studied methods using a scientific programming language.

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