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Subject = cross-correlation;
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Displaying Results 1 - 6 of 6 on page 1 of 1
Marked
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Track validation using gradient-based normalised cross-correlation
(2011)
DAWSON-HOWE, KENNETH MARK
Track validation using gradient-based normalised cross-correlation
(2011)
DAWSON-HOWE, KENNETH MARK
Abstract:
We develop a gradient-based normalised cross-correlation tracker that is as robust as brute-force template matching while being signi?cantly more computationally ef?cient. The technique serves as the basis of our track validation algorithm: by tracking an object forwards in time, reinitialising at the end of the sequence and then tracking backwards in time, we can determine whether or not the object has been followed correctly ? the forwards and backwards trajectories will be very different for tracking failures. If such a failure occurs, we iteratively attempt to validate shorter portions of the video sequence until validation is achieved. The algorithm provides a means of determining whether or not an object was tracked successfully without the need for ground truth data.
http://hdl.handle.net/2262/64040
Marked
Mark
Cross-Correlation Template Matching for Liver Localisation in Computed Tomography
(2020)
Leydon, Patrick; O'Connell, Martin; Greene, Derek; Curran, Kathleen M.
Cross-Correlation Template Matching for Liver Localisation in Computed Tomography
(2020)
Leydon, Patrick; O'Connell, Martin; Greene, Derek; Curran, Kathleen M.
Abstract:
The 2019 Irish Machine Vision and Image Processing Conference (IMVIP 2019), Technological University Dublin, 28-30 August 2019
Many of the current approaches to automatic organ localisation in medical imaging require a large amount of labelled patient data to train systems to accurately identify specific anatomical features. CrossCorrelation, also known as template matching, is a statistical method of assessing the similarity between a template image and a target image. This method has been modified and presented here to localize the liver in Computed Tomography volume images in the Coronal and Sagital planes to achieve a mean positioning error of approximately 11 mm and 20 mm respectively based on between 1 and 25 datasets to create the template liver.
Science Foundation Ireland
Insight Research Centre
http://hdl.handle.net/10197/11362
Marked
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Design & development of a galvanometer inspired dual beam optical coherence tomography system for flow velocity quantification of the microvasculature
(2011)
McElligott-Daly, Susan; Jonathan, E.; Leahy, Martin J.
Design & development of a galvanometer inspired dual beam optical coherence tomography system for flow velocity quantification of the microvasculature
(2011)
McElligott-Daly, Susan; Jonathan, E.; Leahy, Martin J.
Abstract:
This paper reports initial experimentation of a dual beam flow velocity estimation setup based on optical coherence tomography (OCT) for biomedical applications. The proposed work incorporates a low cost switching mechanism (rotating galvanometer mirror) for optical signal discrimination between adjacent fiber channels enabling quasisimultaneous multiple specimen scanning. A cascaded interferometric design is used with two sample output arms orientated in parallel to eachother. A cross-correlation computation between these two parallel sample beams yields a relative time delay, enabling assessment and quantification of flow velocities.
http://hdl.handle.net/10344/2647
Marked
Mark
Development of a microelectromechanical system (MEMS)-based multisensor platform for environmental monitoring
(2011)
Hautefeuille, Mathieu; O'Flynn, Brendan; Peters, Frank H.; O'Mahony, Conor
Development of a microelectromechanical system (MEMS)-based multisensor platform for environmental monitoring
(2011)
Hautefeuille, Mathieu; O'Flynn, Brendan; Peters, Frank H.; O'Mahony, Conor
Abstract:
Recent progress in data processing, communications and electronics miniaturization is now enabling the development of low-cost wireless sensor networks (WSN), which consist of spatially distributed autonomous sensor modules that collaborate to monitor real-time environmental conditions unobtrusively and with appropriate levels of spatial and temporal granularity. Recent and future applications of this technology range from preventative maintenance and quality control to environmental modelling and failure analysis. In order to fabricate these low-cost, low-power reliable monitoring platforms, it is necessary to improve the level of sensor integration available today. This paper outlines the microfabrication and characterization results of a multifunctional multisensor unit. An existing fabrication process for Complementary Metal Oxide Semiconductor CMOS-compatible microelectromechanical systems (MEMS) structures has been modified and extended to manufacture temperature, relative hum...
http://hdl.handle.net/10468/490
Marked
Mark
Robust High Accuracy Ultrasonic Range Measurement System
(2012)
Saad, Mohamed M.; Bleakley, Chris J.; Dobson, Simon
Robust High Accuracy Ultrasonic Range Measurement System
(2012)
Saad, Mohamed M.; Bleakley, Chris J.; Dobson, Simon
Abstract:
This paper presents a novel method for ultrasonic range estimation. The method uses a wideband frequency-hop spread spectrum ultrasonic signal to increase robustness to noise and reverberation. The method applies cross-correlation with earliest peak search and a novel minimum variance search technique to correct the error in the cross-correlation time-of-flight estimate to within one wavelength of the carrier before applying a phase-shift technique for subwavelength range refinement. The method can be implemented digitally in software and only requires low-cost hardware for signal transmission and acquisition. Experimental results show an accuracy of better than 0.5 mm in a typical office environment.
Author has checked copyright
DG 18/10/2012
http://hdl.handle.net/10197/3967
Marked
Mark
Seizure characterisation using frequency-dependent multivariate dynamics
(2009)
Conlon, Thomas; Ruskin, Heather J.; Crane, Martin
Seizure characterisation using frequency-dependent multivariate dynamics
(2009)
Conlon, Thomas; Ruskin, Heather J.; Crane, Martin
Abstract:
The characterisation of epileptic seizures assists in the design of targeted pharmaceutical seizure prevention techniques and pre-surgical evaluations. In this paper, we expand on recent use of multivariate techniques to study the crosscorrelation dynamics between electroencephalographic (EEG) channels. The Maximum Overlap Discrete Wavelet Transform (MODWT) is applied in order to separate the EEG channels into their underlying frequencies. The dynamics of the cross-correlation matrix between channels, at each frequency, are then analysed in terms of the eigenspectrum. By examination of the eigenspectrum, we show that it is possible to identify frequency dependent changes in the correlation structure between channels which may be indicative of seizure activity. The technique is applied to EEG epileptiform data and the results indicate that the correlation dynamics vary over time and frequency, with larger correlations between channels at high frequencies. Additionally, a redistributi...
http://doras.dcu.ie/14854/
Displaying Results 1 - 6 of 6 on page 1 of 1
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Dublin City University (1)
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University of Limerick (1)
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Peer-reviewed (3)
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