Image Processing Tutorials with Matlab
โ Scribed by Yann Gavet and Johan Debayle
- Year
- 2019
- Tongue
- English
- Leaves
- 426
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Table of Contents
Enhancement and Restoration
Introduction to image processing
Image Enhancement
2D Fourier Transform
Introduction to wavelets
Image restoration: denoising
Image Restoration: deconvolution
Shape From Focus
Logarithmic Image Processing (LIP)
Color LIP
GANIP
Image Filtering using PDEs
Multiscale Analysis
Introduction to tomographic reconstruction
Mathematical Morphology
Binary Mathematical Morphology
Morphological Geodesic Filtering
Morphological Attribute Filtering
Morphological skeletonization
Granulometry
Registration and Segmentation
Histogram-based image segmentation
Segmentation by region growing
Hough transform and line detection
Active contours
Watershed
Segmentation of follicles
Image Registration
Stochastic Analysis
Stochastic Geometry / Spatial Processes
Boolean Models
Geometry of Gaussian Random Fields
Stereology and Bertrand's paradox
Convex Hull
Voronoรฏ Diagrams and Delaunay Triangulation
Image Characterization and Pattern Analysis
Integral Geometry
Topological Description
Image Characterization
Shape Diagrams
Freeman Chain Code
Machine Learning
Harris corner detector
Local Binary Patterns
Exams
Practical exam 2016
Theoretical exam 2016
Theoretical exam 2017
๐ SIMILAR VOLUMES
The ice concentration data on a global scale are available on a daily basis due to microwave satellite sensors. Image processing for sea ice is vital to estimate the sea ice properties and understand the behavior of sea ice especially on a relatively small scale. Currently, sea ice concentration is
<span>Describes the principles and techniques of image processing using MATLAB. Every chapter is accompanied by a collection of exercises and programming assignments. The book is augmented with supplementary MATLAB codeand hints and solutions to problems are also provided.</span>
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