Spatial Statistics and Image Analysis
University of Gothenburg
Start date:
End date:
Pace of study: 50 %
Published education catalogue
Education information from the published source. The education record and its time-bound offerings are kept separate.
Code: MSA301
The course provides you with an introduction to spatial statistics and statistical image analysis. In the first part, statistical models for images (stochastic fields and point processes), methods for filtering and reconstruction, and simulation methods for stochastic inference are introduced. The second part of the course focuses on methods from statistics and machine learning for pattern recognition and classification. During the course, we look at applications in areas such as climate, remote sensing, microscopy, photography and medical imaging.
Knowledge corresponding to thecourses MSG110 Probability Theory and MSG800 Basic Stochastic Processes.
Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.
University of Gothenburg
Start date:
End date:
Pace of study: 50 %
Retrieved: .
Published: .
Publication version: 8e217193-f5fa-4778-b085-a4521fd03e8d
Checksum: 1b0dc54c0fc8a359f83ba9dc8f9d468479ce432de4c03bce3b8b33dd67fe3f6c
Last changed according to the source: 2025-04-01T10:23:18