Projects
Data fusion for image analysis in remote sensing Ghent University
Progress in sensor technology has advanced the remote sensing domain, enabling access to a multitude of satellite and airborne data products, each with their own spatial and spectral resolutions, coverage and revisiting times. While each of these modalities provides valuable information by itself, their combination is likely to deliver even richer knowledge. In this project, the term “fusion” is used as the general term for combining ...
Semantic Image Analysis Towards a Visual Turing Machine. KU Leuven
In the recent years visual recognition systems have progressed with leaps and bounds in their accuracy. The vision of this research proposal is to go beyond the existing, accurate, yet rough visual recognition machines, and approach an ideal Visual Turing Machine, namely a machine that would pass as a human when analyzing visual data. We identify 3 directions for this vision. First, beyond generic predictions a Visual Turing Machine should ...
Early detection of quarantine plant diseases via image analysis Research Institute for Agriculture, Fisheries and Food
The overall objective of Nema Sensing is early detection of quarantine nematodes using remote sensing and image analysis. The research will determine the potential of these techniques at tuber and plant level for both root-knot nematodes (Meloidogyne chitwoodi and M. fallax) and potato cyst nematodes (Globodera pallida and G. rosochiensis).
Research approach
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Assessment of root morphology of industrial chicory using image analysis Research Institute for Agriculture, Fisheries and Food
The trials for distinctness, uniformity and stability (DUS) are crucial for the registration of new varieties and assigning plant breeder rights (PBR). This is performed according to well-defined procedures in accordance with the regulations of UPOV (International Union for the Protection of New Varieties of Plants). The aim of this project is to examine if methods based on the analysis of images ...
An image storage platform for analysis management and mining. KU Leuven
To understand what leads to the derailing of regulatory processes under disease conditions like neurodegenerative diseases and cancer, it is of outmost importance to precisely and quantitatively locate and measure the building blocks of such mechanisms in cells and organisms. This requires an ever increasing resolution of imaging cells both spatially and temporally. The inherent (increasing) problem that scientists are facing is to have an ...
Advanced hyperspectral image analysis for material characterization. University of Antwerp
Size and shape matter: dynamic image analysis for food and soft material applications KU Leuven
Quantitative image analysis for high-throughput phenotyping of individual bacterial cells KU Leuven
Bacteria are small unicellular organisms that often exhibit short generation times, are genetically tractable and easily engineerable. Although bacteria represent simple forms of proliferating cells, without additional layers of internal organization (e.g., membrane-enclosed organelles) or cell cycle regulation (e.g., cyclins and cyclin-dependent kinases) seen in eukaryotic cells, they too need to spatially organize their cellular content to ...
PhD student in image analysis for behaviour and pain detection in horses. KU Leuven
This PhD project is focused on development of automated methods for image based monitoring of pain in horses. The project will have several phases. In the first phase, the focus will be on a post hoc investigation of videos to develop an algorithm for automated classification of horse behaviour. This will allow establishing the technological foundation and will help to acquire basic knowledge about the influence of pain on behaviour. In a ...