Course info

In this course you will learn the basics of image processing and analysis in the point of view of life scientist.

Target group: Target group are master students (biosciences, biomedicine etc.), PhD students, bachelor students (biotechnology etc.), all universities.

Entry requirements: Fulfilling the requirements for university student. If you would like to attend outside any Finnish university, please contact laura.j.mairinoja@utu.fi.

Learning outcomes:

The goal is to learn basics of image processing and analysis in the point of view of life scientist. After the course students:

• Know and understand the fundamental concepts in image processing and analysis
• Understand how image processing and analysis can be used in science
• Are able to do simple basic image processing tasks
• Are able to produce and evaluate reliable data analysis from images.

Content:
The course covers the following topics:

• Digital Images and their dimensions
• General image handling
• Pixel processing
• Neighborhood operations and basic filters
• Edge detection and thresholding
• Basic morphological operations
• Basic segmentation and counting objects
• Good practises in image analysis

Learning methods: 135h independent work online.

Teaching language: English

Evaluation and evaluation criteria: Pass/ Fail. Approved on-line exercises and assignments.