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Social and Behavioral Sciences Commons™
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Articles 1 - 6 of 6
Full-Text Articles in Social and Behavioral Sciences
Ion Radiography As A Tool For Patient Set-Up & Image Guided Particle Therapy: A Monte Carlo Study, Nicolas Depauw, Marta F. Dias, Anatoly B. Rosenfeld, Joao C. Seco
Ion Radiography As A Tool For Patient Set-Up & Image Guided Particle Therapy: A Monte Carlo Study, Nicolas Depauw, Marta F. Dias, Anatoly B. Rosenfeld, Joao C. Seco
Faculty of Engineering and Information Sciences - Papers: Part A
This study investigate the use of ion radiography as a tool for patient set-up and tumor tracking capabilities for image guided particle therapy (IGPT) using Monte Carlo simulations. One pediatric, two lung and one liver cancer patients were considered in this study. For each patient, 230 and 330 MeV proton, and 500 MeV/nucleon carbon ion pencil beams were simulated through their computed tomography (CT) data set using GEANT4.9.0. Energy, position and direction cosines of each particle were recorded in front and behind the patient. Ion radiographs were subsequently reconstructed using a dedicated in-house software. The image quality was assessed by …
Quality Of Experience-Based Image Feature Selection For Mobile Augmented Reality Applications, Yi Cao, Christian H. Ritz, Raad Raad
Quality Of Experience-Based Image Feature Selection For Mobile Augmented Reality Applications, Yi Cao, Christian H. Ritz, Raad Raad
Faculty of Engineering and Information Sciences - Papers: Part A
Mobile augmented reality applications rely on automatically recognising a visual scene through matching of derived image features. To ensure the Quality of Experience (QoE) perceived by users, such applications should achieve high matching accuracy meanwhile minimizing the waiting time to meet real-time requirement. An efficient solution is to develop an effective feature selection method to select the most robust features against distortions caused by camera capture to achieve high matching accuracy whilst transmission and matching process of the features are significant reduced. Feature selection is also beneficial to reducing the computational complexities of the matching system so that waiting time …
Multi-Stage Compressed Sensing And Wall Clutter Mitigation For Through-The-Wall Radar Image Formation, Fok Hing Chi Tivive, Abdesselam Bouzerdoum, Van Ha Tang
Multi-Stage Compressed Sensing And Wall Clutter Mitigation For Through-The-Wall Radar Image Formation, Fok Hing Chi Tivive, Abdesselam Bouzerdoum, Van Ha Tang
Faculty of Engineering and Information Sciences - Papers: Part A
In this paper, a multi-stage through - The-wall radar imaging technique combining wall clutter mitigation and scene reconstruction is proposed. In the first stage, compressed sensing is applied to compressive measurements to recover the radar signals in the wavelet domain. Then, a subspace projection method is employed to remove the wavelet coefficients associated with the exterior wall reflections. In the second stage, the remaining wavelet coefficients are further compressed using principal component analysis. A compact linear measurement model is then formulated which relates the compressed wavelet coefficients to the image of the scene. Finally, the image reconstruction problem is solved …
Characterisation Of Coke Packed Beds After Liquid Slag Flow At 1 500°C By Image Analysis, Hazem Labib George, Raymond Longbottom, Sheng Chew, David Pinson, Brian Monaghan
Characterisation Of Coke Packed Beds After Liquid Slag Flow At 1 500°C By Image Analysis, Hazem Labib George, Raymond Longbottom, Sheng Chew, David Pinson, Brian Monaghan
Faculty of Engineering and Information Sciences - Papers: Part A
The flow of slag in the lower zone of the ironmaking blast furnace was experimentally simulated by adding slag to a high temperature laboratory scale coke packed bed. The flow of slag through packed beds of coke with packing densities varying from 50% to 65% was examined at 1 500°C. Since the liquid flow through a packed bed depends on packing properties such as particle size, particle shape, pore size and pore neck size, it was necessary to characterise these properties of the beds. In this work, image analysis of successive sections of the tested beds was utilised to characterise …
Smoke Detection In Video: An Image Separation Approach, Hongda Tian, Wanqing Li, Lei Wang, Philip Ogunbona
Smoke Detection In Video: An Image Separation Approach, Hongda Tian, Wanqing Li, Lei Wang, Philip Ogunbona
Faculty of Engineering and Information Sciences - Papers: Part A
Existing video-based smoke detection methods often rely on the visual features extracted directly from the original frames. In the case of light smoke, the background is still visible and it deteriorates the quality of the features. This paper presents an approach to separating the smoke component from the background such that visual features can be extracted from the smoke component for reliable smoke detection. Specifically, an image is assumed to be a linear blending of a smoke component and a background image. Given a video frame and its background, the estimation of the blending parameter and the actual smoke component …
Hep-2 Cell Image Classification With Multiple Linear Descriptors, Lingqiao Liu, Lei Wang
Hep-2 Cell Image Classification With Multiple Linear Descriptors, Lingqiao Liu, Lei Wang
Faculty of Engineering and Information Sciences - Papers: Part A
The automatic classification of the HEp-2 cell stain patterns from indirect immunofluorescence images has attracted much attention recently. As an image classification problem, it can be well solved by the state-of-the-art bag-of-features (BoF) model as long as a suitable local descriptor is known. Unfortunately, for this special task, we have very limited knowledge of such a descriptor. In this paper, we explore the possibility of automatically learning the descriptor from the image data itself. Specifically, we assume that a local patch can be well described by a set of linear projections performed on its pixel values. Based on this assumption, …