GIS-E3020 - Digital Image Processing and Feature Extraction L, 08.01.2019-19.02.2019
This course space end date is set to 19.02.2019 Search Courses: GIS-E3020
Timetable 2019
Course examination
Tue 19.2., 12-15 Examination (hall 215, Otakaari 4)
Lectures
Week 2, Tue 8.1., 12-14, K202, Lecture 1, digital image processing 1
Week 2, Thu 10.1., 10-12, K202. Lecture 2, digital image processing 2
Week 3, Tue 15.1., 12-14, K202, Lecture 3, digital image processing 3
Week 3, Thu 17.1., 10-12, K202. Lecture 4, digital image processing 4
Week 4, Tue 22.1., 12-14, K202, Lecture 5, digital image processing 5
Week 4, Thu 24.1., 10-12, K202. Lecture 6, feature extraction 1
Week 5, Tue 29.1., 12-14, K202, Lecture 7, feature extraction 2
Week 5, Thu 31.1., 10-12, K202. Lecture 8, feature extraction 3
Week 6, Tue 5.2., 12-14, K202, Lecture 9, feature extraction 4
Week 6, Thu 7.2., 10-12. K202, Lecture
10, Neural Networks
Week 7, Tue 12.2., 12-16, K202, Seminar
Assignmnets
Assignment 1. From image sensor to an image file, Deadline18.1. (Mikko Maksimainen, mikko.maksimainen@aalto.fi + Matti Kurkela,
matti.kurkela@aalto.fi)
Assignment 2. Sampling of a signal, and interpretation
of Fourier spectrums of images, deadline 25.1. (Petri Rönnholm,
petri.ronnholm@aalto.fi)
Assignment 3. Digital image processing with Matlab, Deadline 1.2. (Aino Keitaanniemi, aino.keitaanniemi@aalto.fi)
Assignment 4. Finding edges from images, Deadline 8.2. (Petri Rönnholm, petri.ronnholm@aalto.fi)
Assignment 5. Plessley-Harris interest operator, Deadline 22.2. (Petri Rönnholm, petri.ronnholm@aalto.fi)
Seminar (Tue 12.2.)