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Author |
Jaume Gibert |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Learning structural representations and graph matching paradigms in the context of object recognition |
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Report |
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Year |
2009 |
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CVC Technical Report |
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143 |
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Computer Vision Center |
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Master's thesis |
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no |
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Admin @ si @ Gib2009 |
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2397 |
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Author |
Fernando Vilariño; Stephan Ameling; Gerard Lacey; Stephen Patchett; Hugh Mulcahy |
![goto web page (via DOI) doi](img/doi.gif)
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Title |
Eye Tracking Search Patterns in Expert and Trainee Colonoscopists: A Novel Method of Assessing Endoscopic Competency? |
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Journal Article |
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Year |
2009 |
Publication |
Gastrointestinal Endoscopy |
Abbreviated Journal |
GI |
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69 |
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5 |
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370 |
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800 |
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MV;SIAI |
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fernando @ fernando @ |
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2420 |
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Author |
Mirko Arnold; Anarta Ghosh; Gerard Lacey; Stephen Patchett; Hugh Mulcahy |
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Title |
Indistinct frame detection in colonoscopy videos |
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Conference Article |
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Year |
2009 |
Publication |
Machine Vision and Image Processing Conference |
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47-52 |
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fernando @ fernando @ |
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2424 |
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Author |
Stefan Ameling; Stephan Wirth; Dietrich Paulus; Gerard Lacey; Fernando Vilariño |
![goto web page (via DOI) doi](img/doi.gif)
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Title |
Texture-based Polyp Detection in Colonoscopy |
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Conference Article |
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2009 |
Publication |
Proc. BILDVERARBEITUNG FÜR DIE MEDIZIN |
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MV;SIAI |
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fernando @ fernando @ |
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2428 |
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Author |
Fernando Vilariño; Gerard Lacey |
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Title |
QUALITY ASSESSMENT IN COLONOSCOPY New challenges through computer vision-based systems |
Type |
Conference Article |
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Year |
2009 |
Publication |
in Proc. 3rd International Conference on Biomedical Electronics and Devices |
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MV;SIAI |
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fernando @ fernando @ |
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2430 |
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Author |
Ferran Poveda |
![download PDF file pdf](img/file_PDF.gif)
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Title |
Visualització i interpretació tridimensional de l’arquitectura de les fibres musculars del miocardi |
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Report |
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2009 |
Publication |
Master en Tecnologies Multimedia |
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08193 Bellaterra, Barcelona (Spain) |
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IAM; |
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IAM @ iam @ Pov2009 |
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1625 |
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Author |
Enric Marti; Debora Gil; Marc Vivet; Carme Julia |
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Title |
Aprendizaje Basado en Proyectos en la asignatura de Gráficos por Computador en Ingeniería Informática. Balance de cuatro años de experiencia |
Type |
Miscellaneous |
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Year |
2009 |
Publication |
15th Jornadas de Enseñanza Universitaria de la Informatica |
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Barcelona, Spain |
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1 |
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978-84-692-2758-9 |
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JENUI |
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IAM;ADAS |
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no |
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IAM @ iam @ MGV2009 |
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1596 |
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Permanent link to this record |
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Author |
Jorge Bernal |
![download PDF file pdf](img/file_PDF.gif)
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Title |
Use of Projection and Back-projection Methods in Bidimensional Computed Tomography Image Reconstruction |
Type |
Report |
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Year |
2009 |
Publication |
CVC Tecnical Report |
Abbreviated Journal |
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Volume |
141 |
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Keywords |
Projection, Back-projection, CT scan, Euclidean geometry, Radon transform |
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Abstract |
One of the biggest drawbacks related to the use of CT scanners is the cost (in memory and in time) associated. In this project many methods to simulate their functioning, but in a more feasible way (taking an industrial point of view), will be studied.
The main group of techniques that are being used are the one entitled as ’back-projection’. The concept behind is to simulate the X ray emission in CT scans by lines that cross with the image we want to reconstruct.
In the first part of this document euclidean geometry is used to face the tasks of projec- tion and back-projection. After analysing the results achieved it has been proved that this approach does not lead to a fully perfect reconstruction (and also has some other problems related to running time and memory cost). Because of this in the second part of the document ’Filtered Back-projection’ method is introduced in order to improve the results.
Filtered Back-projection methods rely on mathematical transforms (Fourier, Radon) in order to provide more accurate results that can be obtained in much less time. The main cause of this better results is the use of a filtering process before the back-projection in order to avoid high frequency-caused errors.
As a result of this project two different implementations (one for each approach) had been implemented in order to compare their performance. |
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Corporate Author |
Computer Vision Center |
Thesis |
Master's thesis |
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Barcelona, Spain |
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800 |
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MV; |
Approved |
no |
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Call Number |
IAM @ iam @ Ber2009 |
Serial |
1693 |
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Permanent link to this record |
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Author |
Javier Marin |
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Title |
Virtual learning for real testing |
Type |
Report |
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Year |
2009 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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150 |
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Corporate Author |
Computer Vision Center |
Thesis |
Master's thesis |
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bell |
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ADAS |
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no |
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Admin @ si @ Mar2009c |
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2403 |
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Author |
Agnes Borras |
![download PDF file pdf](img/file_PDF.gif)
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Title |
Contributions to the Content-Based Image Retrieval Using Pictorial Queries |
Type |
Book Whole |
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Year |
2009 |
Publication |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
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The broad access to digital cameras, personal computers and Internet, has lead to the generation of large volumes of data in digital form. If we want an effective usage of this huge amount of data, we need automatic tools to allow the retrieval of relevant information. Image data is a particular type of information that requires specific techniques of description and indexing. The computer vision field that studies these kind of techniques is called Content-Based Image Retrieval (CBIR). Instead of using text-based descriptions, a system of CBIR deals on properties that are inherent in the images themselves. Hence, the feature-based description provides a universal via of image expression in contrast with the more than 6000 languages spoken in the world.
Nowadays, the CBIR is a dynamic focus of research that has derived in important applications for many professional groups. The potential fields of application can be such diverse as: the medical domain, the crime prevention, the protection of the intel- lectual property, the journalism, the graphic design, the web search, the preservation of cultural heritage, etc.
The definition on the role of the user is a key point in the development of a CBIR application. The user is in charge to formulate the queries from which the images are retrieved. We have centered our attention on the image retrieval techniques that use queries based on pictorial information. We have identified a taxonomy composed by four main query paradigms: query-by-selection, query-by-iconic-composition, query- by-sketch and query-by-paint. Each one of these paradigms allows a different degree of user expressivity. From a simple image selection, to a complete painting of the query, the user takes control of the input in the CBIR system.
Along the chapters of this thesis we have analyzed the influence that each query paradigm imposes in the internal operations of a CBIR system. Moreover, we have proposed a set of contributions that we have exemplified in the context of a final application. |
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Barcelona (Spain) |
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Ph.D. thesis |
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Ediciones Graficas Rey |
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Bellaterra |
Editor |
Josep Llados |
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DAG; |
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DAG @ dag @ Bor2009; IAM @ iam @ Bor2009 |
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1269 |
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Author |
Albert Andaluz |
![download PDF file pdf](img/file_PDF.gif)
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Title |
LV Contour Segmentation in TMR images using Semantic Description of Tissue and Prior Knowledge Correction |
Type |
Report |
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Year |
2009 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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Volume |
142 |
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Active Contour Models; Snakes; Active Shape Models; Deformable Templates; Left Ventricle Segmentation; Generalized Orthogonal Procrustes Analysis; Harmonic Phase Flow; Principal Component Analysis; Tagged Magnetic Resonance |
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Abstract |
The Diagnosis of Left Ventricle (LV) pathologies is related to regional wall motion analysis. Health indicator scores such as the rotation and the torsion are useful for the diagnose of the Left Ventricle (LV) function. However, this requires proper identification of LV segments. On one hand, manual segmentation is robust, but it is slow and requires medical expertise. On the other hand, the tag pattern in Tagged Magnetic Resonance (TMR) sequences is a problem for the automatic segmentation of the LV boundaries. Consequently, we propose a method based in the classical formulation of parametric Snakes, combined with Active Shape models. Our semantic definition of the LV is tagged tissue that experiences motion in the systolic cycle. This defines two energy potentials for the Snake convergence. Additionally, the mean shape corrects excessive deviation from the anatomical shape. We have validated our approach in 15 healthy volunteers and two short axis cuts. In this way, we have compared the automatic segmentations to manual shapes outlined by medical experts. Also, we have explored the accuracy of clinical scores computed using automatic contours. The results show minor divergence in the approximation and the manual segmentations as well as robust computation of clinical scores in all cases. From this we conclude that the proposed method is a promising support tool for clinical analysis. |
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Master's thesis |
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Bellaterra 08193, Barcelona, Spain |
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IAM; |
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IAM @ iam @ And2009 |
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1667 |
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Author |
Hany Salah Eldeen |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Colour Naming in Context through a Perceptual Model |
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Report |
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Year |
2009 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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130 |
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Corporate Author |
Computer Vision Center |
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Master's thesis |
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Bellaterra, Barcelona |
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no |
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Admin @ si @ Eld2009 |
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2389 |
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Permanent link to this record |
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Author |
Naila Murray |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Perceptual Feature Detection |
Type |
Report |
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Year |
2009 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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131 |
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Computer Vision Center |
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Master's thesis |
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Bellaterra, Barcelona |
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CIC |
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Admin @ si @ Mur2009 |
Serial |
2390 |
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Author |
Josep M. Gonfaus |
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Title |
Semantic Segmentation of Images Using Random Ferns |
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Report |
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Year |
2009 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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132 |
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Computer Vision Center |
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Master's thesis |
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Bellaterra, Barcelona |
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ISE |
Approved |
no |
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Admin @ si @ Gon2009 |
Serial |
2391 |
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Permanent link to this record |
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Author |
Albert Gordo |
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Title |
A Cyclic Page Layout Descriptor for Document Classification & Retrieval |
Type |
Report |
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Year |
2009 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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128 |
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Computer Vision Center |
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Master's thesis |
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Place of Publication ![sorted by Place of Publication field, ascending order (up)](img/sort_asc.gif) |
Bellaterra, Barcelona |
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Summary Language |
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Original Title |
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Series Editor |
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Series Title |
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Edition |
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ISBN |
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Expedition |
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Conference |
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Notes |
CIC;DAG |
Approved |
no |
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Call Number |
Admin @ si @ Gor2009 |
Serial |
2387 |
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