Lecturer: Petri Rönnholm, petri.ronnholm@aalto.fi

Lectures are given remotely. Tuesday lectures are online lectures in Zoom, and Thursday lectures are pre-recorded video lectures. Also online lectures are recorded.

There are no separate support sessions for assignment. If you need help, send email to the named contact person of the assignment.


Lectures

Week 2, Tue 11.1., 12-14, Lecture 1, digital image processing 1

Week 2, Thu 13.1., 10-12, Lecture 2, digital image processing 2

Week 3, Tue 18.1., 12-14, Lecture 3, digital image processing 3

Week 3, Thu 20.1., 10-12, Lecture 4, digital image processing 4

Week 4, Tue 25.1., 12-14, Lecture 5, digital image processing 5

Week 4, Thu 27.1., 10-12, Lecture 6, feature extraction 1

Week 5, Tue 1.2., 12-14, Lecture 7, feature extraction 2

Week 5, Thu 3.2., 10-12, Lecture 8, feature extraction 3

Week 6, Tue 8.2., 12-14, Lecture 9, feature extraction 4

Week 6, Thu 10.2., 10-12. Lecture 10, Neural Networks

Week 7, Tue 15.2., 12-16, Seminar

Week 7, Thu 16.2., 10-12. NO LECTURE

Week 8, Tue 22.2., 12-15 Course examination (remote examination in MyCourses)

 

Assignmnets

(all assignments must be passed to get the final grade of the course)

 

Assignment 1. Digital images, Deadline 20.1. (Toni Rantanen, toni.rantanen@aalto.fi)

Assignment 2. Sampling of a signal, and interpretation of Fourier spectrum of images, deadline 27.1. (Petri Rönnholm, petri.ronnholm@aalto.fi)
Assignment 3. Digital image processing with Matlab, Deadline 7.2. (Aino Keitaanniemi, aino.keitaanniemi@aalto.fi) (DL was postponed a bit)
Assignment 4. Seminar, Tue 15.2.
Assignment 5. Plessley-Harris interest operator, Deadline 24.2. (Petri Rönnholm, petri.ronnholm@aalto.fi)

 

To pass the course, you need to have all assignments accepted and examination passed. The final grade is a combination of assignments and examination grade. The maximum points from assignments is á 30 points, i.e., total of 150 points. This is scaled (no rounding) to range [0, 5]. If the assignment report is returned after the deadline, the maximum point from that assignment is 12 points (equals to grade 2).

The lowest grade to pass the examination is 15/30 points.

The final grade is the rounded average of the assignment and examination grades

E.g.

examination = 2, assignments = 4.5, grade = 3.25 -> 3

examination = 5, assignments = 3, grade = 4


Last modified: Friday, 28 January 2022, 2:36 PM