Searched for: subject:"Image%5C+segmentation"
(1 - 10 of 10)
document
Ragunathan, Srinidhi (author)
A study has been conducted on the application of Spherical Harmonics based Statistical Shape Modelling for Image Segmentation. This study is focused on the segmentation of Wrist bones using the above mentioned technique.
master thesis 2019
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Uittenbogaard, Ries (author)
In this thesis, a pipeline is created consisting of two parts. In the first part, the moving objects (cars, cyclists, pedestrians) are detected in street-view imagery using image segmentation neural networks and a LIDAR-based moving object detection approach. In the second part, those moving objects are deleted from the image data and an image...
master thesis 2018
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Mohd Jamaludin, Muhamad Muizzudin Bin (author)
Dilatant fractures and faults in carbonate rocks play an important role as fluid path for many applications. However, multidimensional characterization of these fractures remains a challenge due to structural complexity in multiscale. The progressive deformation of dilatant fracture in normal fault system from physical models are imaged in 3D...
master thesis 2018
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Kerst, Arthur (author)
Deformable energy-minimizing contours are used in image analysis, particularly to detect boundaries from objects. From the Mumford-Shah model we derive an equation to move such contours towards the boundary, which minimizes the functional. The external force is computed using the mean value of the inside and outside area of the contour. Various...
bachelor thesis 2018
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Liu, Na (author)
Photographers suffer from many challenging problems when separating and compositing images, such as the color camouflage and unpleasant color bleeding artifacts. To tackle these issues, we present a solution to fore- and background segmentation for images taken from multiple cameras, which introduce the parallax that leads to the foreground...
master thesis 2018
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Snuverink, Iris (author)
In hyperspectral (HS) imaging, for every pixel a spectrum of wavelengths is captured. These spectra represent material properties, i.e. the spectral signatures. So, classification of HS imagery is based on material properties. This thesis describes a framework to perform pixelwise classification of HS images of a fixed scene subject to varying...
master thesis 2017
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Ju, Jihong (author)
Training data for segmentation tasks are often available only on a small scale. Transferring learned representations from pre-trained classification models is therefore widely adopted by convolutional neural networks for semantic segmentation. In domains where the representations from the classification models are not directly applicable, we...
master thesis 2017
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Sloots, J.J. (author)
Machine learning approaches are increasingly successful in medical image analysis. Still, learning from MR images poses some serious challenges. Scanner-dependent characteristics effect feature representations directly and hamper the clinical implementation of otherwise successful supervised-learning techniques. To compensate for variations in...
master thesis 2016
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Folkers, C. (author)
Two currently popular topics in computer science are machine learning and big data. Often the two are combined to obtain powerful machines with learning capabilities or high throughput data analysis programs among others. This research analyses which machine learning techniques qualify to be efficiently implemented on a scalable big data...
master thesis 2016
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Lee, D.J. (author)
Effective urban water management requires certainty about surface conditions such as the surface infiltration capacity (SIC). A SIC map of an urban catchment area could be a useful input for evidence-based urban design of water-sensitive/low-impact neighbourhoods and multitiered water management schemes for reducing flood vulnerability. Methods...
master thesis 2013
Searched for: subject:"Image%5C+segmentation"
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