Searched for: subject:"Segmentation"
(1 - 20 of 172)

Pages

document
Karekar, Ameesh (author)
With a shortage of approximately 315,000 homes, 4% of the existing stock, the Netherlands continues to face a significant and growing shortage of housing. This shortage is a result of various factors that either directly or indirectly have effect on the housing market. Of which some of the key factors are demographic developments such as...
master thesis 2021
document
Truong-Hong, Linh (author), Lindenbergh, R.C. (author)
A three-dimensional (3D) geometric model of a bridge plays an important role in inspection, assessment and management of the bridge. As most bridges were built after the second world war, 3D bridge models are rarely available. A recent development in laser scanning offers a cost-efficient method to capture dense, accurate 3D topographic data...
book chapter 2021
document
Koop, L. (author), Snellen, M. (author), Simons, D.G. (author)
In this paper, object-based image analysis classification methods are developed that do not rely on backscatter in order to classify the seafloor. Instead, these methods make use of bathymetry, bathymetric derivatives, and grab samples for classification. The classification is performed on image object statistics. One of the methods utilizes...
journal article 2021
document
van Driel, N. (author)
Reliable malaria diagnosis techniques that are suitable for point-of-care testing in high burden areas, are vital for effective treatment and monitoring of the disease. Identification of malaria parasites in Giemsa stained blood slides is currently the most widely accepted technique, but its availability is limited by the need for highly trained...
master thesis 2020
document
Mok, S. (author), Guo, J. (author), Gill, E.K.A. (author), Rajan, R.T. (author)
Orbiting Low Frequency Array for Radio Astronomy (OLFAR) is a radio astronomy mission that has been studied since 2010 by several Dutch universities and research institutes. The mission aims at producing sky maps by collecting cosmic signals at ultra-low wavelengths regimes, below the 30 MHz frequency band. A satellite swarm comprising more than...
conference paper 2020
document
Ni, Hao (author)
Glioma is a kind of slow-growing brain tumor which may result in severe seizures. Currently a major tool used to detect and diagnose the glioma is MRI scan. To better analyze the medical image, segmentation is usually conducted as a basic step for further processing, which partitions an integrate image into multiple physically meaningful regions...
master thesis 2020
document
Bai, Qian (author)
Semantic segmentation of aerial point clouds with high accuracy is significant for many geographical applications, but is not trivial since the data is massive and unstructured. In the past few years, deep learning approaches designed for 3D point cloud data have made great progress. Pointwise neural networks, such as PointNet and its extensions...
student report 2020
document
van Burg, J.M. (author)
This paper is a research on the segmentation of customers. The clustering of customers is done based on the variables recency, frequency and monetary value. Such a clustering is called an RFM-model. The clustering is done using the K-means clustering method. To find the optimal number of clusters the following performance metrics are used: Elbow...
bachelor thesis 2020
document
Wiersma, R.T. (author), Eisemann, E. (author), Hildebrandt, K.A. (author)
This paper is concerned with a fundamental problem in geometric deep learning that arises in the construction of convolutional neural networks on surfaces. Due to curvature, the transport of filter kernels on surfaces results in a rotational ambiguity, which prevents a uniform alignment of these kernels on the surface. We propose a network...
journal article 2020
document
Wagenaar, Claire (author)
In this thesis, several image segmentation techniques will be tested that eventually will be applied to MRI brain scans in order to detect hydrocephalus. The meth- ods include Sobel edge detection, Canny edge detection, active contour model (also known as snakes), k-means clustering and region growing. Furthermore two exten- sions are discussed....
bachelor thesis 2020
document
Langhout, T.J. (author), van Leeuwen, S.A.J. (author), Ort, C.I. (author), Volkers, W.S. (author)
The Deal Analytics group of PricewaterhouseCoopers Amsterdam has requested a tool for automatising the business-to-business customer analysis. This analysis was performed manually, which left room for performance improvement. This report discusses how the a product was developed which automates the analyses After two weeks of initial research, a...
bachelor thesis 2020
document
Ferreira Veiga Barros, Ana Luiza (author)
Purpose: The Dutch housing market is under pressure. Shifts on the drivers, structures and economic factors of the residential market are causing the middle-segment to be excluded from it. As a consequence, the middle-segment rental stock needs to increase. Institutional investors are willing to develop middle-segment rental dwellings, but they...
master thesis 2020
document
Mulder, Amber (author)
Semantic segmentation (or pixel-level classification) of remotely sensed imagery has shown to be useful for applications in fields as mapping of land cover, object detection, change detection and land-use analysis. Deep learning algorithms called convolutional neural networks (CNNs) have shown to outperform traditional computer vision and...
master thesis 2020
document
de Groot, Rob (author)
Automatically generated 3D city models are becoming less of a futuristic, demanding or even impossible to attain goal, and more of a necessary, or vastly sought after, means for a multitude of applications. The current prevalence of open geographic information, such as nationwide-covering LiDAR datasets in the Netherlands, opens up opportunities...
master thesis 2020
document
van den Bos, Vicky (author)
Housing affordability is a topic of all times, however, on the current Dutch housing market it is an increasing urgency and thus increasingly harder to find to many Dutch households. The housing shortage, combined with the booming economy, are causing housing prices to rise relatively fast. Although the housing market is pressured in many...
master thesis 2020
document
Huyghues-Beaufond, Nathalie (author), Tindemans, S.H. (author), Falugi, Paola (author), Sun, Mingyang (author), Strbac, Goran (author)
Distribution networks are undergoing fundamental changes at medium voltage level. To support growing planning and control decision-making, the need for large numbers of short-term load forecasts has emerged. Data-driven modelling of medium voltage feeders can be affected by (1) data quality issues, namely, large gross errors and missing...
journal article 2020
document
Pálffy, A. (author), Dong, Jiaao (author), Kooij, J.F.P. (author), Gavrila, D. (author)
This letter presents a novel radar based, single-frame, multi-class detection method for moving road users ( pedestrian, cyclist, car ), which utilizes low-level radar cube data. The method provides class information both on the radar target- and object-level. Radar targets are classified individually after extending the target features with a...
journal article 2020
document
Widyaningrum, E. (author), Peters, R.Y. (author), Lindenbergh, R.C. (author)
Automatic building extraction and delineation from airborne LiDAR point cloud data of urban environments is still a challenging task due to the variety and complexity at which buildings appear. The Medial Axis Transform (MAT) is able to describe the geometric shape and topology of an object, but has never been applied for building roof...
journal article 2020
document
Li, Bo (author), de Groot, Marius (author), Steketee, Rebecca M.E. (author), Meijboom, Rozanna (author), Smits, Marion (author), Vernooij, Meike W. (author), Ikram, M. Arfan (author), Liu, Jiren (author), Niessen, W.J. (author)
Subtle changes in white matter (WM) microstructure have been associated with normal aging and neurodegeneration. To study these associations in more detail, it is highly important that the WM tracts can be accurately and reproducibly characterized from brain diffusion MRI. In addition, to enable analysis of WM tracts in large datasets and in...
journal article 2020
document
Olsson, Fredrik (author), Kok, M. (author), Seel, Thomas (author), Halvorsen, Kjartan (author)
Inertial motion capture relies on accurate sensor-to-segment calibration. When two segments are connected by a hinge joint, for example in human knee or finger joints as well as in many robotic limbs, then the joint axis vector must be identified in the intrinsic sensor coordinate systems. Methods for estimating the joint axis using...
journal article 2020
Searched for: subject:"Segmentation"
(1 - 20 of 172)

Pages