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Current Search:
All of 'Image' and 'processing' in all fields;
366 items found
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Displaying Results 1 - 25 of 366 on page 1 of 15
Marked
Mark
Image processing for smarter browsing of ocean color data products: investigating algal blooms
(2010)
Hayes, Jer; O'Connor, Edel; Lau, King-Tong; O'Connor, Noel E.; Smeaton, Alan ...
Image processing for smarter browsing of ocean color data products: investigating algal blooms
(2010)
Hayes, Jer; O'Connor, Edel; Lau, King-Tong; O'Connor, Noel E.; Smeaton, Alan F.; Diamond, Dermot
Abstract:
Remote sensing technology continues to play a significant role in the understanding of our environment and the investigation of the Earth. Ocean color is the water hue due to the presence of tiny plants containing the pigment chlorophyll, sediments, and colored dissolved organic material and so can provide valuable information on coastal ecosystems. We propose to make the browsing of Ocean Color data more efficient for users by using image processing techniques to extract useful information which can be accessible through browser searching. Image processing is applied to chlorophyll and sea surface temperature images. The automatic image processing of the visual level 1 and level 2 data allow us to investigate the occurrence of algal blooms. Images with colors in a certain range (red, orange etc.) are used to address possible algal blooms and allow us to examine the seasonal variation of algal blooms in Europe (around Ireland and in the Baltic Sea). Yearly seasonal variation of alga...
http://doras.dcu.ie/15752/
Marked
Mark
Phase in Optical Image Processing
(2010)
Naughton, Thomas J.
Phase in Optical Image Processing
(2010)
Naughton, Thomas J.
Abstract:
The use of phase has a long standing history in optical image processing, with early milestones being in the field of pattern recognition, such as VanderLugt's practical construction technique for matched filters, and (implicitly) Goodman's joint Fourier transform correlator. In recent years, the flexibility afforded by phase-only spatial light modulators and digital holography, for example, has enabled many processing techniques based on the explicit encoding and decoding of phase. One application area concerns efficient numerical computations. Pushing phase measurement to its physical limits, designs employing the physical properties of phase have ranged from the sensible to the wonderful, in some cases making computationally easy problems easier to solve and in other cases addressing mathematics' most challenging computationally hard problems. Another application area is optical image encryption, in which, typically, a phase mask modulates the fractional Fourier tr...
http://eprints.nuim.ie/2445/
Marked
Mark
Digital Hologram Image Processing
(2009)
McElhinney, Conor
Digital Hologram Image Processing
(2009)
McElhinney, Conor
Abstract:
In this thesis we discuss and examine the contributions we have made to the field of digital hologram image processing. In particular, we will deal with the processing of numerical reconstructions of real-world three-dimensional macroscopic objects recorded by in-line digital holography. Our selection of in-line digital holography over off-axis digital holography is based primarily on resolution. There is evidence that an off-axis architecture requires approximately four times the resolution to record a hologram than an in-line architecture. The high resolution of holographic film means this is acceptable in optical holography. However, in digital holography the bandwidth of the recording medium is already severely limited and if we are to extract information from reconstructions we need the highest possible resolution which, if one cannot harness the functionality of accurately reconstructing phase, is achieved through using an in-line architecture. Two of the most significant prob...
http://eprints.nuim.ie/1467/
Marked
Mark
Intelligent image processing techniques for structuring a visual diary
(2006)
Doherty, Aiden R.; Smeaton, Alan F.
Intelligent image processing techniques for structuring a visual diary
(2006)
Doherty, Aiden R.; Smeaton, Alan F.
Abstract:
The SenseCam is a small wearable personal device which automatically captures up to 3,500 images per day. This yields a very large personal collection of images or in a sense, a diary of a person's day. Over one million images will need to be stored each year, therefore intelligent techniques are necessary for the effective searching and browsing of this image collection for important or significant events in a person's life, and one of the issues is how to detect and then relate similar events in a lifetime. This is necessary in order to detect unusual or once-off events, as well as determining routine activities. This poster will present the various sources of data that can be collected with a SenseCam device, and also other sources that can be collected to compliment the SenseCam data sources. Different forms of image processing that can be carried out on this large set of images will be detailed, specifically how to detect what images belong to individual events, and a...
http://doras.dcu.ie/15028/
Marked
Mark
Damage calibration of a beam using wavelet analysis and image processing
(2006)
Pakrashi, Vikram; O'Connor, Alan J.; Basu, Biswajit
Damage calibration of a beam using wavelet analysis and image processing
(2006)
Pakrashi, Vikram; O'Connor, Alan J.; Basu, Biswajit
Abstract:
Accepted Version
Efficient damage detection and calibration of structures have gained great importance in recent times in terms of health monitoring and maintenance programmes. Wavelet analysis based damage detection and calibration from the deflected shape of beams are theoretically known to be a simple and efficient way of assessing damage. However, the measurement of the static or dynamic deflected shape of a vibrating beam is often difficult. The use of sophisticated devices to measure such spatial characteristics suffer from the disadvantage of high cost of the instrument and its unavailability. This paper considers a simply supported aluminium beam with an open crack and presents a video camera based inexpensive laboratory study to assess the damage using wavelet analysis. The vibrating deflected shape recorded by the camera has been processed using image processing methods and an intelligent pattern recognition procedure for the quantification of such the dynamic deflecte...
http://hdl.handle.net/10468/259
Marked
Mark
Watermarking digital images for copyright protection
(1995)
BOLAND, FRANCIS MORGAN
Watermarking digital images for copyright protection
(1995)
BOLAND, FRANCIS MORGAN
Abstract:
peer-reviewed
A watermark is all invisible mark placed on an image that can only be detected when the image is compared with the original. This mark is designed to identify both the source of a document as well as its intended recipient. This paper discusses various techniques for embedding such marks in grey scale and colour digital images. It begins specifying the requirements that an effective image watermarking scheme must possess, followed by a review of current and novel techniques based on image transforms
http://hdl.handle.net/2262/19683
Marked
Mark
Diffusion and Fractional Diffusion Based Image Processing
(2009)
Blackledge, Jonathan M.
Diffusion and Fractional Diffusion Based Image Processing
(2009)
Blackledge, Jonathan M.
Abstract:
<p> We consider the background to describing strong scattering in terms of diffusive processes based on the diffusion equation. Intermediate strength scattering is then considered in terms of a fractional diffusion equation which is studied using results from fractional calculus. This approach is justified in terms of the generalization of a random walk model with no statistical bias in the phase to a random walk that has a phase bias and is thus, only ‘partially’ or ‘fractionally’ diffusive. A Green’s function solution to the fractional diffusion equation is studied and a result derived that provides a model for an incoherent image generated by light scattering from a tenuous random medium. Applications include image enhancement of star fields and other cosmological bodies imaged through interstellar dust clouds. An example of this application is given. </p>
http://arrow.dit.ie/engscheleart/158
Marked
Mark
Digital Image Processing
(2005)
Blackledge, Jonathan
Digital Image Processing
(2005)
Blackledge, Jonathan
Abstract:
<p>Newspapers and the popular scientific press today publish many examples of highly impressive images. These images range, for example, from those showing regions of star birth in the distant Universe to the extent of the stratospheric ozone depletion over Antarctica in springtime, and to those regions of the human brain affected by Alzheimer’s disease. Processed digitally to generate spectacular images, often in false colour, they all make an immediate and deep impact on the viewer’s imagination and understanding.</p> <p>Professor Jonathan Blackledge’s erudite but very useful new treatise Digital Image Processing: Mathematical and Computational Methods explains both the underlying theory and the techniques used to produce such images in considerable detail. It also provides many valuable example problems - and their solutions - so that the reader can test his/her grasp of the physical, mathematical and numerical aspects of the particular topics and methods discus...
http://arrow.dit.ie/engschelebk/3
Marked
Mark
Ten years of digital visual restoration systems
(2007)
KOKARAM, ANIL CHRISTOPHER
Ten years of digital visual restoration systems
(2007)
KOKARAM, ANIL CHRISTOPHER
Abstract:
With the growth in marketability of all forms of visual media comes the need to exploit archive material more effectively, and a requirement to guarantee picture quality regardless of the originating medium. Some kind of touch-up or restoration is rapidly becoming a “must have” in the visual production cycle. This paper reviews the development and impact of Digital Restoration Systems in the broadcast television and film industry over the last ten years. It presents some unifying ideas as well as the relevance and challenges of defect treatment in such harsh picture environments.
http://hdl.handle.net/2262/15518
Marked
Mark
Pathological motion detection for robust missing data treatment in degraded archived media
(2006)
CORRIGAN, DAVID; HARTE, NAOMI; KOKARAM, ANIL CHRISTOPHER
Pathological motion detection for robust missing data treatment in degraded archived media
(2006)
CORRIGAN, DAVID; HARTE, NAOMI; KOKARAM, ANIL CHRISTOPHER
Abstract:
This paper outlines an algorithm to improve the robustness of missing data treatment to pathological motion (PM). PM can cause misdiagnosis of clean image data as missing data. The proposed algorithm uses a probabilistic framework to jointly detect PM and missing data by exploiting more temporal information than is typically used for missing data detection and by exploiting the local smoothness assumption of motion fields. The results of the framework are compared to an equivalent missing data detector without PM detection and the framework is shown to prevent the misdiagnosis of missing data due to PM
http://hdl.handle.net/2262/19759
Marked
Mark
Adaptive pre-filtering techniques for colour image analysis
(2007)
Ilea, Dana E.; Whelan, Paul F.
Adaptive pre-filtering techniques for colour image analysis
(2007)
Ilea, Dana E.; Whelan, Paul F.
Abstract:
One important step in the process of colour image segmentation is to reduce the errors caused by image noise and local colour inhomogeneities. This can be achieved by filtering the data with a smoothing operator that eliminates the noise and the weak textures. In this regard, the aim of this paper is to evaluate the performance of two image smoothing techniques designed for colour images, namely bilateral filtering for edge preserving smoothing and coupled forward and backward anisotropic diffusion scheme (FAB). Both techniques are non-linear and have the purpose of eliminating the image noise, reduce weak textures and artefacts and improve the coherence of colour information. A quantitative comparison between them will be evaluated and also the ability of such techniques to preserve the edge information will be investigated.
http://doras.dcu.ie/4647/
Marked
Mark
Multiple image view synthesis for free viewpoint video applications
(2005)
Cooke, Eddie; O'Connor, Noel E.
Multiple image view synthesis for free viewpoint video applications
(2005)
Cooke, Eddie; O'Connor, Noel E.
Abstract:
Interactive audio-visual (AV) applications such as free viewpoint video (FVV) aim to enable unrestricted spatio-temporal navigation within multiple camera environments. Current virtual viewpoint view synthesis solutions for FVV are either purely image-based implying large information redundancy; or involve reconstructing complex 3D models of the scene. In this paper we present a new multiple image view synthesis algorithm that only requires camera parameters and disparity maps. The multi-view synthesis (MVS) approach can be used in any multi-camera environment and is scalable as virtual views can be created given 1 to N of the available video inputs, providing a means to gracefully handle scenarios where camera inputs decrease or increase over time. The algorithm identifies and selects only the best quality surface areas from available reference images, thereby reducing perceptual errors in virtual view reconstruction. Experimental results are presented and verified using both objec...
http://doras.dcu.ie/237/
Marked
Mark
The Path Assigned Mean Shift Algorithm: A New fast Mean Shift Implementation For Colour Image Segmentation.
(2008)
KOKARAM, ANIL CHRISTOPHER
The Path Assigned Mean Shift Algorithm: A New fast Mean Shift Implementation For Colour Image Segmentation.
(2008)
KOKARAM, ANIL CHRISTOPHER
Abstract:
This paper presents a novel method for colour image segmentation derived from the mean shift theorem. When applied to colour image segmentation tasks, the path assigned mean shift algorithm performed 1.5 to 5 times faster than existing fast mean shift methods such as the Hierarchical ’Neighbourhood Consistency’ FMS Method proposed by Zhang [1] with comparable results. The complexity of the new PAMS algorithm can be represented as O( 2) where represents the total number of unassigned points per iteration of the algorithm.
http://hdl.handle.net/2262/39333
Marked
Mark
Diffusion and Fractional Diffusion based Models for Multiple Light Scattering and Image Analysis
(2007)
Blackledge, Jonathan
Diffusion and Fractional Diffusion based Models for Multiple Light Scattering and Image Analysis
(2007)
Blackledge, Jonathan
Abstract:
<p>This paper considers a fractional light diffusion model as an approach to characterizing the case when intermediate scattering processes are present, i.e. the scattering regime is neither strong nor weak. In order to introduce the basis for this approach, we revisit the elements of formal scattering theory and the classical diffusion problem in terms of solutions to the inhomogeneous wave and diffusion equations respectively. We then address the significance of these equations in terms of a random walk model for multiple scattering. This leads to the proposition of a fractional diffusion equation for modelling intermediate strength scattering that is based on a generalization of the diffusion equation to fractional form. It is shown how, by induction, the fractional diffusion equation can be justified in terms of the generalization of a random walk model to fractional form as characterized by the Hurst exponent. Image processing and analysis methods are proposed that are ba...
http://arrow.dit.ie/engscheleart2/37
Marked
Mark
Color image segmentation using a self-initializing EM algorithm
(2006)
Ilea, Dana E.; Whelan, Paul F.
Color image segmentation using a self-initializing EM algorithm
(2006)
Ilea, Dana E.; Whelan, Paul F.
Abstract:
This paper presents a new method based on the Expectation-Maximization (EM) algorithm that we apply for color image segmentation. Since this algorithm partitions the data based on an initial set of mixtures, the color segmentation provided by the EM algorithm is highly dependent on the starting condition (initialization stage). Usually the initialization procedure selects the color seeds randomly and often this procedure forces the EM algorithm to converge to numerous local minima and produce inappropriate results. In this paper we propose a simple and yet effective solution to initialize the EM algorithm with relevant color seeds. The resulting self initialised EM algorithm has been included in the development of an adaptive image segmentation scheme that has been applied to a large number of color images. The experimental data indicates that the refined initialization procedure leads to improved color segmentation.
http://doras.dcu.ie/4676/
Marked
Mark
Color image segmentation using a spatial k-means clustering algorithm
(2006)
Ilea, Dana E.; Whelan, Paul F.
Color image segmentation using a spatial k-means clustering algorithm
(2006)
Ilea, Dana E.; Whelan, Paul F.
Abstract:
This paper details the implementation of a new adaptive technique for color-texture segmentation that is a generalization of the standard K-Means algorithm. The standard K-Means algorithm produces accurate segmentation results only when applied to images defined by homogenous regions with respect to texture and color since no local constraints are applied to impose spatial continuity. In addition, the initialization of the K-Means algorithm is problematic and usually the initial cluster centers are randomly picked. In this paper we detail the implementation of a novel technique to select the dominant colors from the input image using the information from the color histograms. The main contribution of this work is the generalization of the K-Means algorithm that includes the primary features that describe the color smoothness and texture complexity in the process of pixel assignment. The resulting color segmentation scheme has been applied to a large number of natural images and the ...
http://doras.dcu.ie/4646/
Marked
Mark
An image analysis based damage classification methodology
(2007)
Pakrashi, Vikram; O'Connor, Alan J.; Schoefs, Franck
An image analysis based damage classification methodology
(2007)
Pakrashi, Vikram; O'Connor, Alan J.; Schoefs, Franck
Abstract:
Accepted Version
Measurement of the extent of damage in a real structure is extremely important in terms of any maintenance strategy. However, this measurement often turns out to be difficult, time consuming and error – prone. The necessity of a simple, fast and relatively inexpensive damage monitoring system with reliable measurements is growing for quite sometime. The paper proposes a camera based image analysis technique to quantify and classify damage in structures at various levels of scale. The general method has been applied to corroded plate specimens in the laboratory with the aim to identify the affected areas on a steel pile due to pitting corrosion. The method depends on the contrast of the corroded region with respect to its surroundings, performs intelligent edge detection through image processing techniques and computes each affected and closed region to predict the total area of the affected part along with its spatial distribution on a two dimensional plane. Mor...
http://hdl.handle.net/10468/260
Marked
Mark
Image processing used to harness blinking as a channel of communication and control for physically disabled people
(2001)
Burke, D.; Ward, Tomas; de Paor, A
Image processing used to harness blinking as a channel of communication and control for physically disabled people
(2001)
Burke, D.; Ward, Tomas; de Paor, A
Abstract:
ÐSophisticated mathematical algorithms (such as differencing, thresholding, aggregation and statistical analysis of skin colours) are used to compare successive frames of computer-captured images of the face. From these, changes in state of the eyes are determined and are used to detect blinks. A recognition performance of 83.74+0.03% is achieved over ®ve subjects with a low rate of false positives 2.71+0.01%. A logical decision rule identi®es purposeful blinks and applies them to control either a custom-designed communication package or an external device.
http://eprints.nuim.ie/1286/
Marked
Mark
ROC dependent event isolation method for image processing based assessment of corroded harbour structures
(2010)
Pakrashi, Vikram; Schoefs, Franck; Memet, Jean Bernard; O'Connor, Alan J.
ROC dependent event isolation method for image processing based assessment of corroded harbour structures
(2010)
Pakrashi, Vikram; Schoefs, Franck; Memet, Jean Bernard; O'Connor, Alan J.
Abstract:
Accepted Version
The localisation and calibration of damage in a structure are often difficult, time consuming, subjective and error prone. The importance of a simple, fast and relatively inexpensive non-destructive technique (NDT) with reliable measurements is thus greatly felt. The usefulness and the efficiency of any such technique are often affected by environmental conditions. The definition of damage and the subsequent interpretation of the possible consequences due to the damage introduce subjectivity into an NDT technique and affect its performance. It is of great importance in terms of practical application to find out the efficiency of an NDT technique in a probabilistic way for various damage definitions and environmental conditions through the use of receiver operating characteristic (ROC) curves. Such variations of performance of an NDT tool can be predicted through simulation processes, and the test conditions conducive to good detections can be isolated and ranked...
http://hdl.handle.net/10468/281
Marked
Mark
3D estimation and visualization of motion in a multicamera network for sports
(2011)
Kelly, Philip; O'Connor, Noel E.
3D estimation and visualization of motion in a multicamera network for sports
(2011)
Kelly, Philip; O'Connor, Noel E.
Abstract:
In this work, we develop image processing and computer vision techniques for visually tracking a tennis ball, in 3D, on a court instrumented with multiple low cost IP cameras. The technique first extracts 2D ball track data from each camera view, using object tracking methods. Next, an automatic feature- based video synchronization method is applied. This technique uses both the extracted 2D ball information from two or more camera views, plus camera calibration information. Then, in order to find 3D trajectory, the temporal 3D locations of the ball is estimated using triangulation of correspondent 2D locations obtained from automatically synchronized videos. Furthermore, we also incorporate a physics-based trajectory model into the system to improve the continuity of the tracked 3D ball during times when no two cameras have overlapping views of the ball location. The resultant 3D ball tracks are then visualized in a virtual 3D graphical environment. Finally, we quantify the accurac...
http://doras.dcu.ie/16575/
Marked
Mark
Hyperspectral image analysis for questioned historical documents.
(2010)
Shiel, Patrick
Hyperspectral image analysis for questioned historical documents.
(2010)
Shiel, Patrick
Abstract:
This thesis describes the application of spectroscopy and hyperspectral image processing to examine historical manuscripts and text. Major activities in palaeographic and manuscript studies include the recovery of illegible or deleted text, the minute analyses of scribal hands, the identification of inks and the segmentation and dating of text. This thesis describes how Hyperspectral Imaging (HSI), applied in a novel manner, can be used to perform quality text recovery, segmentation and dating of historical documents. The non-destructive optical imaging process of Spectroscopy is described in detail and how it can be used to assist historians and document experts in the exemption of aged manuscripts. This non-destructive optical method of analysis can distinguish subtle differences in the reflectance properties of the materials under study. Many historically significant documents from libraries such as the Royal Irish Academy and the Russell Library at the National University of Ire...
http://eprints.nuim.ie/2659/
Marked
Mark
Automated Segmentation of Torn Frames using the Graph Cuts Technique
(2007)
CORRIGAN, DAVID; HARTE, NAOMI; KOKARAM, ANIL CHRISTOPHER
Automated Segmentation of Torn Frames using the Graph Cuts Technique
(2007)
CORRIGAN, DAVID; HARTE, NAOMI; KOKARAM, ANIL CHRISTOPHER
Abstract:
Film Tear is a form of degradation in archived film and is the physical ripping of the film material. Tear causes displacement of a region of the degraded frame and the loss of image data along the boundary of tear. In [1], a restoration algorithm was proposed to correct the displacement in the frame introduced by the tear by estimating the global motion of the 2 regions either side of the tear. However, the algorithm depended on a user-defined segmentation to divide the frame. This paper presents a new fully-automated segmentation algorithm which divides affected frames along the tear. The algorithm employs the graph cuts optimisation technique and uses temporal intensity differences, rather than spatial gradient, to describe the boundary properties of the segmentation. Segmentations produced with the proposed algorithm agree well with the perceived correct segmentation.
http://hdl.handle.net/2262/15559
Marked
Mark
Detection of Illegal Dumping from CCTV at Recycling Centres
(2007)
RANKIN, ANDREW; BAUGH, GARY; HARTE, NAOMI; KOKARAM, ANIL CHRISTOPHER
Detection of Illegal Dumping from CCTV at Recycling Centres
(2007)
RANKIN, ANDREW; BAUGH, GARY; HARTE, NAOMI; KOKARAM, ANIL CHRISTOPHER
Abstract:
This paper describes initial work on a framework for automatic detection of illegal dumping from CCTV footage from recycle centres. Frames are seperated into foreground and background regions using a Bayesian approach that combines global motion estimates with image based information to generate a robust segmentation. The framework hence avoids explicit modelling and tracking of objects in the scene such as cars, people or rubbish bags. A feature extraction stage with diagnostics will be presented.
http://hdl.handle.net/2262/19799
Marked
Mark
Joint Detection, Interpolation, Motion and Parameter estimation for Image Sequences with Missing Data
(1997)
KOKARAM, ANIL CHRISTOPHER
Joint Detection, Interpolation, Motion and Parameter estimation for Image Sequences with Missing Data
(1997)
KOKARAM, ANIL CHRISTOPHER
Abstract:
This paper presents methods for detection and reconstruction of `missing' data in image sequences which can be modelled using 3-dimensional autoregressive (3D-AR) models. The interpolation of missing data is important in many areas of image processing, including the restoration of degraded motion pictures, reconstruction of drop-outs in digital video and automatic `re-touching' of old photographs. Here a probabilistic Bayesian framework is adopted. The method assumes no prior knowledge of the motion field or 3D-AR model parameters as these are estimated jointly with the missing image pixels. Incorporating a degradation model into the framework allows detection to proceed jointly with interpolation
http://hdl.handle.net/2262/40128
Marked
Mark
Image segmentation evaluation using an integrated framework
(2007)
McGuinness, Kevin; Keenan, Gordon; Adamek, Tomasz; O'Connor, Noel E.
Image segmentation evaluation using an integrated framework
(2007)
McGuinness, Kevin; Keenan, Gordon; Adamek, Tomasz; O'Connor, Noel E.
Abstract:
In this paper we present a general framework we have developed for running and evaluating automatic image and video segmentation algorithms. This framework was designed to allow effortless integration of existing and forthcoming image segmentation algorithms, and allows researchers to focus more on the development and evaluation of segmentation methods, relying on the framework for encoding/decoding and visualization. We then utilize this framework to automatically evaluate four distinct segmentation algorithms, and present and discuss the results and statistical findings of the experiment.
http://doras.dcu.ie/270/
Displaying Results 1 - 25 of 366 on page 1 of 15
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NUI Maynooth (26)
Trinity College Dublin (65)
University College Cork (5)
University College Dublin (14)
University of Limerick (4)
Dublin Institute of Technology (19)
Peer Review Status
Peer reviewed (295)
Non peer reviewed (68)
Unknown (3)
Year
2012 (8)
2011 (31)
2010 (38)
2009 (70)
2008 (49)
2007 (33)
2006 (34)
2005 (35)
2004 (21)
2003 (9)
2002 (7)
2001 (12)
2000 (4)
1999 (4)
1997 (6)
1996 (2)
1995 (2)
1994 (1)
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