Mathematical Sciences

Lund University

Image Analysis

Course Material

Lecture 1 - Gray Level Transformations, Sampling, Interpolation
Lecture 2 - Machine Learning 1
Lecture 3 - Linear Algebra, Fourier Transform
Lecture 4 - Convolution
Lecture 5 - Feature Detection
Lecture 6 - Machine Learning 2
Lecture 7 - Deep Learning
Lecture 8 - Systems, Testing, Segmentation
Lecture 9 - Graph Methods
Lecture 10 - Parameter Estimation, Fitting
Lecture 11 - Semantic Segmentation
Lecture 12 - Wrap-Up
Lecture G1 - Spatial Statistics
Lecture G2 - Computer Vision
Lecture G2 - Computer Vision extra
Lecture G3 - Medical Image Analysis
Lecture G4 - Multispectral Image Analysis
Course Program
Time and room for supervision (see also TimeEdit)
Assignment 1
Assignment 1 - inl1_to_students.zip
Assignment 1 - assignment1bases.mat
Assignment 2
Assignment 2 - inl2_to_students.zip
Assignment 3
Assignment 3 - inl3_to_students.zip
Assignment 3 - ocrfeaturestrain.mat
Assignment 3 - FaceNonFace.mat
Assignment 3 - linjepunkter.mat
Assignment 3 - ocrsegments.mat
Assignment 4
Assignment 4 - lab3en.pdf
Assignment 4 - maxflow.zip
Assignment 4 - heartdata.mat
Assignment 4 - femfel.mat
Assignment 4 - femfel.mat
Assignment 4 - inl4_to_students.zip
Lecture Notes, Study Notes

Course Start

Introductory Meeting:
2017-08-29, 8:00
MA:06

Start date:
2017-08-29

Reading periods:
Autumn, first half

Staff

Lecturer:

Assistants: