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Author Eduard Vazquez
Title Distribution Characterization using Topological Features. Application to Colour Image Processing Type Report
Year 2007 Publication CVC Technical Report # 107 Abbreviated Journal
Volume Issue Pages
Keywords
Abstract
Address
Corporate Author Thesis (down) Master's thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number Admin @ si @ Vaz2009 Serial 1254
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Author Marc Serra
Title Estimating Intrinsic Images from Physical and Categorical Color Cues Type Report
Year 2010 Publication CVC Technical Report Abbreviated Journal
Volume 151 Issue Pages
Keywords
Abstract
Address
Corporate Author Thesis (down) Master's thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes CIC Approved no
Call Number Admin @ si @ Ser2010 Serial 1345
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Author Ahmed Mounir Gad
Title Object Localization Enhancement by Multiple Segmentation Fusion Type Report
Year 2010 Publication CVC Technical Report Abbreviated Journal
Volume 152 Issue Pages
Keywords
Abstract
Address
Corporate Author Thesis (down) Master's thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number Admin @ si @ Mou2010 Serial 1346
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Author Antonio Hernandez
Title Pose and Face Recovery via Spatio-temporal GrabCut Human Segmentation Type Report
Year 2010 Publication CVC Technical Report Abbreviated Journal
Volume 153 Issue Pages
Keywords
Abstract
Address
Corporate Author Thesis (down) Master's thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes HUPBA;MILAB Approved no
Call Number Admin @ si @ Her2010 Serial 1347
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Author Anjan Dutta
Title Symbol Spotting in Graphical Documents by Serialized Subgraph Matching Type Report
Year 2010 Publication CVC Technical Report Abbreviated Journal
Volume 159 Issue Pages
Keywords
Abstract
Address
Corporate Author Thesis (down) Master's thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes DAG Approved no
Call Number Admin @ si @ Dut2010 Serial 1351
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Author David Fernandez
Title Handwritten Word Spotting in Old Manuscript Images using Shape Descriptors Type Report
Year 2010 Publication CVC Technical Report Abbreviated Journal
Volume 161 Issue Pages
Keywords
Abstract
Address
Corporate Author Thesis (down) Master's thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes DAG Approved no
Call Number Admin @ si @ Fer2010b Serial 1353
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Author Jon Almazan
Title Deforming the Blurred Shape Model for Shape Description and Recognition Type Report
Year 2010 Publication CVC Technical Report Abbreviated Journal
Volume 163 Issue Pages
Keywords
Abstract
Address
Corporate Author Thesis (down) Master's thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number Admin @ si @ Alm2010 Serial 1354
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Author Nataliya Shapovalova
Title On Importance of Interaction and Context Type Report
Year 2010 Publication CVC Technical Report Abbreviated Journal
Volume 155 Issue Pages
Keywords
Abstract
Address
Corporate Author Thesis (down) Master's thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes ISE Approved no
Call Number Admin @ si @ Sha2010 Serial 1355
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Author Zhanwu Xiong
Title A Pompd Model for Active Camera Control Type Report
Year 2010 Publication CVC Technical Report Abbreviated Journal
Volume 156 Issue Pages
Keywords
Abstract
Address
Corporate Author Thesis (down) Master's thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes ISE Approved no
Call Number Admin @ si @ Xio2010 Serial 1356
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Author Jaume Garcia
Title Generalized Active Shape Models Applied to Cardiac Function Analysis Type Report
Year 2004 Publication CVC Technical Report Abbreviated Journal
Volume Issue 78 Pages
Keywords Cardiac Analysis; Deformable Models; Active Contour Models; Active Shape Models; Tagged MRI; HARP; Contrast Echocardiography.
Abstract Medical imaging is very useful in the assessment and treatment of many diseases. To deal with the great amount of data provided by imaging scanners and extract quantitative information that physicians can interpret, many analysis algorithms have been developed. Any process of analysis always consists of a first step of segmenting some particular structure. In medical imaging, structures are not always well defined and suffer from noise artifacts thus, ordinary segmentation methods are not well suited. The ones that seem to give better results are those based on deformable models. Nevertheless, despite their capability of mixing image features together with smoothness constraints that may compensate for image irregularities, these are naturally local methods, i. e., each node of the active contour evolve taking into account information about its neighbors and some other weak constraints about flexibility and smoothness, but not about the global shape that they should find. Due to the fact that structures to be segmented are the same for all cases but with some inter and intra-patient variation, the incorporation of a priori knowledge about shape in the segmentation method will provide robustness to it. Active Shape Models is an algorithm based on the creation of a shape model called Point Distribution Model. It performs a segmentation using only shapes similar than those previously learned from a training set that capture most of the variation presented by the structure. This algorithm works by updating shape nodes along a normal segment which often can be too restrictive. For this reason we propose a generalization of this algorithm that we call Generalized Active Shape Models and fully integrates the a priori knowledge given by the Point Distribution Model with deformable models or any other appropriate segmentation method. Two different applications to cardiac imaging of this generalized method are developed and promising results are shown.
Address CVC (UAB)
Corporate Author Thesis (down) Master's thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes IAM; Approved no
Call Number IAM @ iam @ Gar2004 Serial 1513
Permanent link to this record
 
 
Author Aura Hernandez-Sabate
Title Automatic adventitia segmentation in IntraVascular UltraSound images Type Report
Year 2005 Publication CVC Technical Report Abbreviated Journal
Volume Issue 85 Pages
Keywords
Abstract A usual tool in cardiac disease diagnosis is vessel plaque assessment by analysis of IVUS sequences. Manual detection of lumen-intima, intima-media and media-adventitia vessel borders is the main activity of physicians in the process of plaque quantification. Large variety in vessel border descriptors, as well as, shades, artifacts and blurred response due to ultrasound physical properties troubles automated media-adventitia segmentation. This experimental work presents a solution to such a complex problem. The process blends advanced anisotropic filtering operators and statistic classification techniques, achieving an efficient vessel border modelling strategy. First of all, we introduce the theoretic base of the method. After that, we show the steps of the algorithm, validating the method with statistics that show that the media-adventitia border detection achieves an accuracy in the range of inter-observer variability regardless of plaque nature, vessel geometry and incomplete vessel borders. Finally, we present a little Matlab application to the automatic media-adventitia border.
Address
Corporate Author Thesis (down) Master's thesis
Publisher Place of Publication 08193 Bellaterra, Barcelona (Spain) Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes IAM; Approved no
Call Number IAM @ iam @ Her2005 Serial 1544
Permanent link to this record
 
 
Author Patricia Marquez
Title Conditions Ensuring Accuracy of Local Optical Flow Schemes Type Report
Year 2010 Publication CVC Tehcnical Report Abbreviated Journal
Volume 157 Issue Pages
Keywords
Abstract Accurate computation of optical flow is a key-point in many image processing fields. Detection of anomalous and unpredicted agents (such as pedestrians, bikers or cars) in urban scenes or pathology discrimination in medical imaging sequences, to mention just a two. The above kinds sequences present two main difficulties for standard optical flow techniques. On one hand, variability in acquisition conditions (illuminance, medical imaging modality, ...) force an alterantive representation for images fulfilling the britghtness constancy constrain. On the hand, current variational schemes produce oversmoothed fields unable to properly model discontinuous behaviours such as collisions or functionless pathological areas. This master project explores the abilities and limitations of local and global optical flow approaches. The master student will put especial emphasis in the theoretical grounds behind in order to design a variational framework combining the theoretical advantages of the considered techniques. In particular an optical flow based on Gabor phase tracking (developed in the group for medical imaging) will be generalized to urban scenes.
Address
Corporate Author Thesis (down) Master's thesis
Publisher Place of Publication Bellaterra 08193, Barcelona, Spain Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes IAM; Approved no
Call Number IAM @ iam @ Mar2010 Serial 1582
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Author Ferran Poveda
Title Visualització i interpretació tridimensional de l’arquitectura de les fibres musculars del miocardi Type Report
Year 2009 Publication Master en Tecnologies Multimedia Abbreviated Journal
Volume Issue Pages
Keywords
Abstract
Address
Corporate Author Thesis (down) Master's thesis
Publisher Place of Publication 08193 Bellaterra, Barcelona (Spain) Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes IAM; Approved no
Call Number IAM @ iam @ Pov2009 Serial 1625
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Author Sergio Vera
Title Finger joint modelling from hand X-ray images for assessing rheumatoid arthritis Type Report
Year 2010 Publication CVC Technical Report Abbreviated Journal
Volume 164 Issue Pages
Keywords Rheumatoid arthritis; joint detection; X-ray; Van der Heijde score
Abstract Rheumatoid arthritis is an autoimmune, systemic, inflammatory disorder that mainly af- fects bone joints. While there is no cure for this disease, continuous advances on palliative treatments require frequent verification of patient’s illness evolution. Such evolution is mea- sured through several available semi-quantitative methods that require evaluation of hand and foot X-ray images. Accurate assessment is a time consuming task that requires highly trained personnel. This hinders a generalized use in clinical practice for early diagnose and disease follow-up. In the context of the automatization of such evaluation methods we present a method for detection and characterization of finger joints in hand radiography images. Several measures for assessing the reduction of joint space width are proposed. We compare for the first time such measures to the Van der Heijde score, the gold standard method for rheumatoid arthritis assessment. The proposed method outperforms existing strategies with a detection rate above 95%. Our comparison to Van der Heijde index shows a promising correlation that encourages further research.
Address
Corporate Author Thesis (down) Master's thesis
Publisher Place of Publication Bellaterra 01893, Barcelona, Spain Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes IAM Approved no
Call Number IAM @ iam @ Ver2010 Serial 1661
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Author Jorge Bernal
Title Use of Projection and Back-projection Methods in Bidimensional Computed Tomography Image Reconstruction Type Report
Year 2009 Publication CVC Tecnical Report Abbreviated Journal
Volume 141 Issue Pages
Keywords Projection, Back-projection, CT scan, Euclidean geometry, Radon transform
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.
Address
Corporate Author Computer Vision Center Thesis (down) Master's thesis
Publisher Place of Publication Barcelona, Spain Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area 800 Expedition Conference
Notes MV; Approved no
Call Number IAM @ iam @ Ber2009 Serial 1693
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