Dr Pankaj Kumar, Dr Jinhai Cai, Professor Stan Miklavcic
Phenotyping of plant root growth by image processing and analysis of plant root images. In this research automated algorithms for localization and identification of root features in image sequences of different cereal plants are being developed. The plant roots are grown in a transparent gellan gum medium and imaged daily at different rotation angles. Feature extraction and feature selection techniques are employed to extract phenotyping features in root images. Features are matched and tracked across spatially separated images to extract 3D information of the phenotyping feature. Furthermore, a time series of these 3D features are obtained by temporal tracking. The project will involve the development of:
- Feature extraction algorithms for plant root images
- Feature selection and classification algorithms
- Data fusion
- Correspondence matching within root images
- Tracking algorithms
A vacation scholar is being sought to work on this project, this is a paid position and interested students should contact one of the staff listed above, and see the future students page for more information.