Location independent
The course will give an introduction to image analysis for application in forest sciences. It will cover basic concepts and techniques in images analysis and the students apply their new skills to solve an image analysis task in a project.
Image analysis in forest sciences includes a number of techniques and methods for image processing and interpretation that can be applied to drone images and digital canopy models as well as close-range images and microscope images. Upon the completion of the course, the student will be able to:
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