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 |