Statistical Modelling for Image Segmentation
Advisor: Nassir NavabSupervision by: Dr. Laurent Demaret, Lichao Wang
Abstract
Statistical modelling summarises the general data property. Such models are usually more robust against noises and artefacts. The position is about validating some existing and novel models that are used for segmenting images and possibly videos.Requirements
- Proficient with C++. Experience with Matlab is preferred.
- Experience of image processing is preferred.
- Experience with machine learning is preferred. Particularly, it will be a good advantage that you have experience in the expectation-maximisation algorithm, PCA and active shape models.
| Students.ProjectForm | |
|---|---|
| Title: | Statistical Modelling for Image Segmentation |
| Abstract: | Statistical modelling summarises the general data property. Such models are usually more robust against noises and artefacts. The position is about validating some existing and novel models that are used for segmenting images and possibly videos. |
| Student: | |
| Director: | Prof. Dr. Nassir Navab |
| Supervisor: | Dr. Laurent Demaret, Dr. Lichao Wang |
| Type: | Hiwi |
| Area: | |
| Status: | open |
| Start: | |
| Finish: | |
| Thesis (optional): | |
| Picture: | |