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Panneau latéral
image_processing_1
Image processing 1
10H30 lessons + 14H PW
Coefficient 1.5
Lecture goals
The goal of this course is to present an overview of the problems and methods in image processing.
Detailed outline
- 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
Applications
The different concepts covered by the lectures are illustrated through labs in matlab.
Acquired skills
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.
image_processing_1.txt · Dernière modification: 2020/10/21 11:27 (modification externe)
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