Searched for: contributor%3A%22Van+de+Plas%2C+Raf+%28mentor%29%22
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Huijbrechts, Maartje (author)
Macro X-ray fluorescence (MA-XRF) is a recently developed technology allowing to obtain elemental information from cultural heritage objects. This information can, for example, be used to identify pigments used in a painting. Yet, the extended period of time it takes to scan an object is a major issue within MA-XRf. For instance, it took about...
master thesis 2023
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CHANOPOULOU, IOANNA (author)
Convolutional Neural Networks (CNNs) have emerged primarily from research focusing on image classification tasks and as a result, most of the well-motivated design choices found in literature are relevant to computer vision applications. CNNs' application on Imaging Mass Spectrometry (IMS) data is quite recent and involves new challenges, such...
master thesis 2023
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Tideman, Leonoor (author)
Imaging mass spectrometry (IMS) is a multiplexed chemical imaging technique that enables the spatially targeted molecular mapping of biological samples at cellular resolutions. Within a single experiment, IMS can measure the spatial distribution and relative concentration of thousands of distinct molecular species across the surface of a tissue...
master thesis 2019
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Khan, Tiamur (author)
Visual surveillance technologies are increasingly being used to monitor public spaces. These technologies process the recordings of surveillance cameras. Such recordings contain depictions of human actions such as "running", "waving", and "aggression". In the field of computer vision, automated detection of human actions in videos is known as...
master thesis 2019
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Hjartarson, Daníel (author)
Multivariate images are built up by measuring multiple features or variables simultaneously while recording a measurement’s location. An example of such images is Imaging Mass Spectrometry (IMS) data. IMS is a technique for recording the mass-over-charge ratio of molecules in (biological) samples while also recording the molecules’ spatial...
master thesis 2019
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El Doori, Isa (author)
The ability to locate specific objects within images is an essential step in various computer vision based engineering applications. Image segmentation is the task of dividing an image into "segments" that are uniform as well as homogeneous with respect to some characteristics, for example grey tone or texture as in Haralick et al. This thesis...
master thesis 2019
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Sankararaman, Shyam Prasadh (author)
Hyperspectral imaging (HSI) is a promising imaging modality in medical applications, especially for non-invasive and non-contact disease diagnosis and image-guided surgery. Encoding both spatial and spectral information, it can detect subtle changes in the biochemical and morphological properties of a tissue, revealing the early progression of a...
master thesis 2019
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van Ramshorst, Arjan (author)
Knowledge on adversaries during military missions at sea heavily influences decision making, making identification of unknown vessels an important task. Identification of surrounding vessels based on visual data offers an alternative to AIS information (Automatic Identification System), the current standard in vessel identification, which can be...
master thesis 2018
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