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Addressing the image correspondence problem by feature matching is a central part of computer vision and 3D inference from images. Consequently, there is a substantial amount of work on evaluating feature detection and feature description methodology. However, the performance of the feature matching is an interplay of both detector and descriptor methodology. Our main contribution is to evaluate the...
According to American Cancer Society's most recent studies, breast cancer is the most common cancer among women today and a serious threat worldwide. Mammography, whether screen-film or digital, remains the best method to detect early breast cancer. Mammography imaging relies on the projection of a three-dimensional object onto a two-dimensional image in which lesions can be easily obscured and undetected...
This paper presents an algorithm for localization and classification of subtitles in TV videos. We extend an existing static-region detector with object-based adaptive filtering and binary classification of subtitle bounding boxes, using geometry and text-stroke alignment features. Compared to this static-region detector, we reduce the number of falsely detected subtitle pixels by a factor of 20,...
Continuing to scale CMP performance at reasonable power budgets has forced chip designers to consider emerging silicon-photonic technologies as the primary means of on- and off-chip communication. Different designs for chip-scale photonic interconnects have been proposed, and system-level simulations have shown them to be far superior to purely electronic network solutions. However, specifying the...
This paper seeks to address imaging applications in the presence of random media, such as fog and sand between the detector and target. Interferometric imaging, which utilizes the complex correlations from a relatively small number of sensors to construct an image from the source plane, is investigated. Different detector geometries and different types of random media are studied to understand their...
This paper considers the contributions of one outstanding as well as controversial researcher, teacher and inventor from Spain during the Francos's dictatorship. The paper presents an overview of the most important contributions made by Prof. Angel Gonzalez del Valle related with the electric networks/circuits theory and its application to analog computing/simulation, which was achieved from forties...
Resonant peaks in plasmonic dots-in-a-well infrared detector is reported. The detectors used here have active layers with InAs quantum dots embedded in InGaAs/GaAs quantum wells. The active region is embedded in heavily n-doped GaAs top and bottom contacts and has a thick Al0.7Ga0.3As layer below the bottom contact as a cladding.
In this paper, we propose a new approach to find a large number of reliable point features between high distorted stereo fisheye images, which is very valuable in many applications, such as image-based metrology, geometry estimation and 3D reconstruction. In first step the affine invariant regions are matched by classical approaches then distinctive points within the region can be matched based on...
In this paper, using Defrise Phantoms, we present our investigations of the axial limitations of an analytical cone-beam reconstruction algorithm (FDK), and the iterative ordered-subset transmission reconstruction (OSTR) iterative algorithm, for an axially extended version of the Philips Brightview XCT cone beam CT (CBCT) geometry. Simulations were preformed for head size and body size Defrise Phantoms...
CT imaging typically requires a reconstruction of small region-of-interest (ROI) at high resolution. It is straightforward using analytical algorithms, however iterative techniques require the reconstruction of all sources of attenuation that fall in the path of the X-ray beam. Reconstructing the desired ROI therefore implies reconstructing the whole scanned object in the full field of view (FFOV)...
The Pixelated Emission Detector for RadiOisotopes (PEDRO) is a hybrid imaging system designed for the measurement of single photon emission from small animal models. The proof-of-principle device consists of a Compton-camera situated behind a mechanical collimator and is intended to provide optimal detection characteristics over a broad spectral range, from 30 keV to 511 keV. An automated routine...
We introduce a re-configurable system design for positron emission tomography (PET) for purpose of maximizing the cost effectiveness of PET. In this new design concept, a PET system employs a small number of compact, flat-panel (cFP) PET detectors (which we believe will be made available in near future by us or others) to assume various scanner geometries so that the performance properties desired...
The ATLAS Tile hadronic calorimeter (TileCal) provides highly-segmented energy measurements of incoming particles. The information from TileCal's last segmentation layer can assist in muon tagging and it is being considered for a future upgrade of the level-one trigger to reject triggers due to radiation background effects in the barrel region. A muon receiver for the TileCal muon signals is being...
A monolithic scintillator has advantages over segmented scintillators due to their reduced dead area and straightforward implementation. Previous methods have used a nearest neighbor approach to match multiple photodetector responses to entries in a predetermined look-up table (LUT). We extend this technique by introducing various inverse interpolation techniques, namely kriging, inverse distance...
Nuclear Resonance Fluorescence (NRF) has the potential of addressing a wide variety of applications, which require isotopic and/or elemental information about a sample. We have investigated a variety of non-proliferation applications that may be addressed by NRF. From these applications, we have selected two, measuring uranium enrichment in UF6 cylinders and material verification in dismantlement,...
We have proposed a “zoom-in” PET system that integrates a higher-resolution detector capable of measuring depth of interaction (DOI) into an existing scanner to obtain high-resolution images of a targeted region with high-sensitivity. The system acquires coincidence events between the high-resolution detector and low-resolution detectors, as well as those between the low-resolution detectors. Because...
We have proposed an OpenPET geometry which consists of two axially separated detector rings. The open gap would be suitable for in-beam PET, which is a method for in situ monitoring of charged particle therapy. In the present work, we developed the first prototype of the OpenPET, especially for in-beam experiments using phantoms. The OpenPET prototype was designed with 2 detector rings of 8 detector...
Positron Emission Tomography (PET) historically has major clinical and preclinical applications in cancerous oncology, neurology, and cardiovascular diseases. Recently, in a new direction, an application specific PET system is being developed at Thomas Jefferson National Accelerator Facility (Jefferson Lab) in collaboration with Duke University, University of Maryland at Baltimore (UMAB), and West...
In PET scanners, one or multiple collimated point sources are used to acquire transmission measurements to generate attenuation maps for emission tomography. The transmission acquisition is, intrinsically, 3D cone beam geometry. The acquired list-mode data are transformed into sinograms in the histogram process. Thereafter, transmission images are reconstructed from the sinograms, which are then re-projected...
In geology the simulation of the sedimention process deposition is very used on different kind of studies. However a great problem is to get the information without destroy the architecture of the deposited material (since now named testimonial). Usually they do slice the real sample and they take pictures of it. However this technique is too aggressive (invasive) and usually cause damage to the testimonial...
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