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P000089

Introduction to image analysis for forest sciences.

This course gives an introduction to image analysis for application in forest sciences. The course covers basic concepts and techniques in images analysis and the students apply their new skills to solve an image analysis task in a project.


Syllabus and other information


Syllabus

P000089 Introduction to image analysis for forest sciences., 4.5 Credits

Subjects

Education cycle

Postgraduate level

Grading scale

Pass / Failed

Prior knowledge

*Phd student, and basic knowledge in R, MATlab or Octave*

Objectives

*The objective of the course is to give an introduction to image analysis suitable for research in forest sciences. On completion of the course, the student will be able to: *

  • *perform image preprocessing such as greyscale thresholding and noise reduction *
  • *apply basic filters (e.g., mean or median) to images *
  • *perform histogram processing of images *
  • *apply morphological filters to images *
  • *perform basic image segmentation *
  • *perform image classification *
  • *perform basic object recognition *

Content

*The course is built on lectures and computer exercises. The exercises are done in R and Octave. **The main elements of the course are as follows: *

  • *Image acquisition *
  • *Image enhancement *
  • *Histogram processing *
  • *Morphological processing *
  • *Image segmentation *
  • *Image classification *
  • *Object recognition *

Formats and requirements for examination

* Passed exercises and passed student project.*

Responsible department

Department of Forest Resource Management