| Home | [71–80] << 81 82 83 84 85 86 87 88 89 90 >> [91–100] |
|
| Records | |||||
|---|---|---|---|---|---|
| Author | Enrique Cabello; Cristina Conde; Angel Serrano; Licesio Rodriguez; David Vazquez | ||||
| Title | Empleo de sistemas biométricos para el reconocimiento de personas en aeropuertos | Type | Journal Article | ||
| Year | 2006 | Publication | Instituto Universitario de Investigación sobre Seguridad Interior (IUSI 2006) | Abbreviated Journal | |
| Volume | Issue | Pages | |||
| Keywords | Surveillance; Face detection; Face recognition | ||||
| Abstract | El presente proyecto se desarrolló a lo largo del año 2005, probando un prototipo de un sistema de verificación facial con imágenes extraídas de las cámaras de video vigilancia del aeropuerto de Barajas. Se diseñaron varios experimentos, agrupados en dos clases. En el primer tipo, el sistema es entrenado con imágenes obtenidas en condiciones de laboratorio y luego probado con imágenes extraídas de las cámaras de video vigilancia del aeropuerto de Barajas. En el segundo caso, tanto las imágenes de entrenamiento como las de prueba corresponden a imágenes extraídas de Barajas. Se ha desarrollado un sistema completo, que incluye adquisición y digitalización de las imágenes, localización y recorte de las caras en escena, verificación de sujetos y obtención de resultados. Los resultados muestran, que, en general, un sistema de verificación facial basado en imágenes puede ser una ayuda a un operario que deba estar vigilando amplias zonas. | ||||
| Address | |||||
| Corporate Author | 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 | invisible;ADAS | Approved | no | ||
| Call Number | ADAS @ adas @ CCS2006a | Serial | 1672 | ||
| Permanent link to this record | |||||
| 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 | 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 | Jaume Garcia; Albert Andaluz; Debora Gil; Francesc Carreras | ||||
| Title | Decoupled External Forces in a Predictor-Corrector Segmentation Scheme for LV Contours in Tagged MR Images | Type | Conference Article | ||
| Year | 2010 | Publication | 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society | Abbreviated Journal | |
| Volume | Issue | Pages | 4805-4808 | ||
| Keywords | |||||
| Abstract | Computation of functional regional scores requires proper identification of LV contours. On one hand, manual segmentation is robust, but it is time consuming and requires high expertise. On the other hand, the tag pattern in TMR sequences is a problem for automatic segmentation of LV boundaries. We propose a segmentation method based on a predictorcorrector (Active Contours – Shape Models) scheme. Special stress is put in the definition of the AC external forces. First, we introduce a semantic description of the LV that discriminates myocardial tissue by using texture and motion descriptors. Second, in order to ensure convergence regardless of the initial contour, the external energy is decoupled according to the orientation of the edges in the image potential. We have validated the model in terms of error in segmented contours and accuracy of regional clinical scores. | ||||
| Address | Buenos Aires (Argentina) | ||||
| Corporate Author | IEEE EMB | Thesis | |||
| Publisher | Place of Publication |
Editor | |||
| Language | Summary Language | Original Title | |||
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 1557-170X | ISBN | 978-1-4244-4123-5 | Medium | |
| Area | Expedition | Conference | EMBC | ||
| Notes | IAM | Approved | no | ||
| Call Number | IAM @ iam @ GAG2010 | Serial | 1514 | ||
| Permanent link to this record | |||||
| Author | Jaume Garcia; Debora Gil; Aura Hernandez-Sabate | ||||
| Title | Endowing Canonical Geometries to Cardiac Structures | Type | Book Chapter | ||
| Year | 2010 | Publication | Statistical Atlases And Computational Models Of The Heart | Abbreviated Journal | |
| Volume | 6364 | Issue | Pages | 124-133 | |
| Keywords | |||||
| Abstract | International conference on Cardiac electrophysiological simulation challenge
In this paper, we show that canonical (shape-based) geometries can be endowed to cardiac structures using tubular coordinates defined over their medial axis. We give an analytic formulation of these geometries by means of B-Splines. Since B-Splines present vector space structure PCA can be applied to their control points and statistical models relating boundaries and the interior of the anatomical structures can be derived. We demonstrate the applicability in two cardiac structures, the 3D Left Ventricular volume, and the 2D Left-Right ventricle set in 2D Short Axis view. |
||||
| Address | |||||
| Corporate Author | Thesis | ||||
| Publisher | Springer Berlin / Heidelberg | Place of Publication |
Editor | Camara, O.; Pop, M.; Rhode, K.; Sermesant, M.; Smith, N.; Young, A. | |
| Language | Summary Language | Original Title | |||
| Series Editor | Series Title | Lecture Notes in Computer Science | Abbreviated Series Title | LNCS | |
| Series Volume | Series Issue | Edition | |||
| ISSN | ISBN | Medium | |||
| Area | Expedition | Conference | |||
| Notes | IAM | Approved | no | ||
| Call Number | IAM @ iam @ GGH2010b | Serial | 1515 | ||
| Permanent link to this record | |||||
| Author | M. Gomez; J. Mauri; Eduard Fernandez-Nofrerias; Oriol Rodriguez-Leor; Carme Julia; Debora Gil; Petia Radeva | ||||
| Title | Reconstrucción de un modelo espacio-temporal de la luz del vaso a partir de secuencias de ecografía intracoronaria | Type | Conference Article | ||
| Year | 2002 | Publication | XXXVIII Congreso Nacional de la Sociedad Española de Cardiología. | Abbreviated Journal | |
| Volume | Issue | Pages | |||
| Keywords | |||||
| Abstract | |||||
| Address | |||||
| Corporate Author | 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;ADAS;MILAB | Approved | no | ||
| Call Number | IAM @ iam @ GMF2002d | Serial | 1516 | ||
| Permanent link to this record | |||||
| Author | Debora Gil | ||||
| Title | Regularized Curvature Flow | Type | Report | ||
| Year | 2002 | Publication | CVC Technical Report | Abbreviated Journal | |
| Volume | Issue | 63 | Pages | ||
| Keywords | |||||
| Abstract | |||||
| Address | |||||
| Corporate Author | Thesis | ||||
| Publisher | Computer Vision Centre | 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 @ Gil2002 | Serial | 1518 | ||
| Permanent link to this record | |||||
| Author | Debora Gil; Jose Maria-Carazo; Roberto Marabini | ||||
| Title | On the nature of 2D crystal unbending | Type | Journal Article | ||
| Year | 2006 | Publication | Journal of Structural Biology | Abbreviated Journal | |
| Volume | 156 | Issue | 3 | Pages | 546-555 |
| Keywords | Electron microscopy | ||||
| Abstract | Crystal unbending, the process that aims to recover a perfect crystal from experimental data, is one of the more important steps in electron crystallography image processing. The unbending process involves three steps: estimation of the unit cell displacements from their ideal positions, extension of the deformation field to the whole image and transformation of the image in order to recover an ideal crystal. In this work, we present a systematic analysis of the second step oriented to address two issues. First, whether the unit cells remain undistorted and only the distance between them should be changed (rigid case) or should be modified with the same deformation suffered by the whole crystal (elastic case). Second, the performance of different extension algorithms (interpolation versus approximation) is explored. Our experiments show that there is no difference between elastic and rigid cases or among the extension algorithms. This implies that the deformation fields are constant over large areas. Furthermore, our results indicate that the main source of error is the transformation of the crystal image. | ||||
| Address | |||||
| Corporate Author | Thesis | ||||
| Publisher | Place of Publication |
Editor | |||
| Language | Summary Language | Original Title | |||
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 1047-8477 | ISBN | Medium | ||
| Area | Expedition | Conference | |||
| Notes | IAM; | Approved | no | ||
| Call Number | IAM @ iam @ GCM2006 | Serial | 1519 | ||
| Permanent link to this record | |||||
| Author | Debora Gil; Jaume Garcia; Aura Hernandez-Sabate; Enric Marti | ||||
| Title | Manifold parametrization of the left ventricle for a statistical modelling of its complete anatomy | Type | Conference Article | ||
| Year | 2010 | Publication | 8th Medical Imaging | Abbreviated Journal | |
| Volume | 7623 | Issue | 762304 | Pages | 304 |
| Keywords | |||||
| Abstract | Distortion of Left Ventricle (LV) external anatomy is related to some dysfunctions, such as hypertrophy. The architecture of myocardial fibers determines LV electromechanical activation patterns as well as mechanics. Thus, their joined modelling would allow the design of specific interventions (such as peacemaker implantation and LV remodelling) and therapies (such as resynchronization). On one hand, accurate modelling of external anatomy requires either a dense sampling or a continuous infinite dimensional approach, which requires non-Euclidean statistics. On the other hand, computation of fiber models requires statistics on Riemannian spaces. Most approaches compute separate statistical models for external anatomy and fibers architecture. In this work we propose a general mathematical framework based on differential geometry concepts for computing a statistical model including, both, external and fiber anatomy. Our framework provides a continuous approach to external anatomy supporting standard statistics. We also provide a straightforward formula for the computation of the Riemannian fiber statistics. We have applied our methodology to the computation of complete anatomical atlas of canine hearts from diffusion tensor studies. The orientation of fibers over the average external geometry agrees with the segmental description of orientations reported in the literature. | ||||
| Address | |||||
| Corporate Author | Thesis | ||||
| Publisher | SPIE | 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 | SPIE | ||
| Notes | IAM | Approved | no | ||
| Call Number | IAM @ iam @ GGH2010a | Serial | 1522 | ||
| Permanent link to this record | |||||
| Author | Debora Gil; Aura Hernandez-Sabate; Antoni Carol; Oriol Rodriguez; Petia Radeva | ||||
| Title | A Deterministic-Statistic Adventitia Detection in IVUS Images | Type | Conference Article | ||
| Year | 2005 | Publication | 3rd International workshop on International Workshop on Functional Imaging and Modeling of the Heart | Abbreviated Journal | |
| Volume | Issue | Pages | 65-74 | ||
| Keywords | Electron microscopy; Unbending; 2D crystal; Interpolation; Approximation | ||||
| Abstract | Plaque analysis in IVUS planes needs accurate intima and adventitia models. Large variety in adventitia descriptors difficulties its detection and motivates using a classification strategy for selecting points on the structure. Whatever the set of descriptors used, the selection stage suffers from fake responses due to noise and uncompleted true curves. In order to smooth background noise while strengthening responses, we apply a restricted anisotropic filter that homogenizes grey levels along the image significant structures. Candidate points are extracted by means of a simple semi supervised adaptive classification of the filtered image response to edge and calcium detectors. The final model is obtained by interpolating the former line segments with an anisotropic contour closing technique based on functional extension principles. | ||||
| Address | Barcelona; June 2005 | ||||
| Corporate Author | 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 | FIMH | ||
| Notes | IAM;MILAB | Approved | no | ||
| Call Number | IAM @ iam @ RMF2005 | Serial | 1524 | ||
| Permanent link to this record | |||||
| Author | Debora Gil; Aura Hernandez-Sabate; Oriol Rodriguez; J. Mauri; Petia Radeva | ||||
| Title | Statistical Strategy for Anisotropic Adventitia Modelling in IVUS | Type | Journal Article | ||
| Year | 2006 | Publication | IEEE Transactions on Medical Imaging | Abbreviated Journal | |
| Volume | 25 | Issue | 6 | Pages | 768-778 |
| Keywords | Corners; T-junctions; Wavelets | ||||
| Abstract | Vessel plaque assessment by analysis of intravascular ultrasound sequences is a useful tool for cardiac disease diagnosis and intervention. Manual detection of luminal (inner) and mediaadventitia (external) vessel borders is the main activity of physicians in the process of lumen narrowing (plaque) quantification. Difficult definition of vessel border descriptors, as well as, shades, artifacts, and blurred signal response due to ultrasound physical properties trouble automated adventitia segmentation. In order to efficiently approach such a complex problem, we propose blending advanced anisotropic filtering operators and statistical classification techniques into a vessel border modelling strategy. Our systematic statistical analysis shows that the reported adventitia detection achieves an accuracy in the range of interobserver variability regardless of plaque nature, vessel geometry, and incomplete vessel borders. Index Terms–-Anisotropic processing, intravascular ultrasound (IVUS), vessel border segmentation, vessel structure classification. | ||||
| Address | |||||
| Corporate Author | 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;MILAB | Approved | no | ||
| Call Number | IAM @ iam @ GHR2006 | Serial | 1525 | ||
| Permanent link to this record | |||||
| Author | Debora Gil; Aura Hernandez-Sabate; Mireia Brunat;Steven Jansen; Jordi Martinez-Vilalta | ||||
| Title | Structure-preserving smoothing of biomedical images | Type | Journal Article | ||
| Year | 2011 | Publication | Pattern Recognition | Abbreviated Journal | PR |
| Volume | 44 | Issue | 9 | Pages | 1842-1851 |
| Keywords | Non-linear smoothing; Differential geometry; Anatomical structures; segmentation; Cardiac magnetic resonance; Computerized tomography | ||||
| Abstract | Smoothing of biomedical images should preserve gray-level transitions between adjacent tissues, while restoring contours consistent with anatomical structures. Anisotropic diffusion operators are based on image appearance discontinuities (either local or contextual) and might fail at weak inter-tissue transitions. Meanwhile, the output of block-wise and morphological operations is prone to present a block structure due to the shape and size of the considered pixel neighborhood. In this contribution, we use differential geometry concepts to define a diffusion operator that restricts to image consistent level-sets. In this manner, the final state is a non-uniform intensity image presenting homogeneous inter-tissue transitions along anatomical structures, while smoothing intra-structure texture. Experiments on different types of medical images (magnetic resonance, computerized tomography) illustrate its benefit on a further process (such as segmentation) of images. | ||||
| Address | |||||
| Corporate Author | Thesis | ||||
| Publisher | Place of Publication |
Editor | |||
| Language | Summary Language | Original Title | |||
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 0031-3203 | ISBN | Medium | ||
| Area | Expedition | Conference | |||
| Notes | IAM; ADAS | Approved | no | ||
| Call Number | IAM @ iam @ GHB2011 | Serial | 1526 | ||
| Permanent link to this record | |||||
| Author | Debora Gil; Aura Hernandez-Sabate; Mireia Burnat; Steven Jansen; Jordi Martinez-Vilalta | ||||
| Title | Structure-Preserving Smoothing of Biomedical Images | Type | Conference Article | ||
| Year | 2009 | Publication | 13th International Conference on Computer Analysis of Images and Patterns | Abbreviated Journal | |
| Volume | 5702 | Issue | Pages | 427-434 | |
| Keywords | non-linear smoothing; differential geometry; anatomical structures segmentation; cardiac magnetic resonance; computerized tomography. | ||||
| Abstract | Smoothing of biomedical images should preserve gray-level transitions between adjacent tissues, while restoring contours consistent with anatomical structures. Anisotropic diffusion operators are based on image appearance discontinuities (either local or contextual) and might fail at weak inter-tissue transitions. Meanwhile, the output of block-wise and morphological operations is prone to present a block structure due to the shape and size of the considered pixel neighborhood. In this contribution, we use differential geometry concepts to define a diffusion operator that restricts to image consistent level-sets. In this manner, the final state is a non-uniform intensity image presenting homogeneous inter-tissue transitions along anatomical structures, while smoothing intra-structure texture. Experiments on different types of medical images (magnetic resonance, computerized tomography) illustrate its benefit on a further process (such as segmentation) of images. | ||||
| Address | Münster, Germany | ||||
| Corporate Author | Thesis | ||||
| Publisher | Springer Berlin Heidelberg | Place of Publication |
Editor | ||
| Language | Summary Language | Original Title | |||
| Series Editor | Series Title | Abbreviated Series Title | LNCS | ||
| Series Volume | Series Issue | Edition | |||
| ISSN | 0302-9743 | ISBN | 978-3-642-03766-5 | Medium | |
| Area | Expedition | Conference | CAIP | ||
| Notes | IAM | Approved | no | ||
| Call Number | IAM @ iam @ GHB2009 | Serial | 1527 | ||
| Permanent link to this record | |||||
| Author | Debora Gil; Oriol Rodriguez; J. Mauri; Petia Radeva | ||||
| Title | Statistical descriptors of the Myocardial perfusion in angiographic images | Type | Conference Article | ||
| Year | 2006 | Publication | Proc. Computers in Cardiology | Abbreviated Journal | |
| Volume | Issue | Pages | 677-680 | ||
| Keywords | Anisotropic processing; intravascular ultrasound (IVUS); vessel border segmentation; vessel structure classification. | ||||
| Abstract | Restoration of coronary flow after primary percutaneous coronary intervention in acute myocardial infarction does not always correlate with adequate myocardial perfusion. Recently, coronary angiography has been used to assess microcirculation integrity (Myocardial BlushAnalysis, MBA). Although MBA correlates with patient prognosis there are few image processing methods addressing objective perfusion quantification. The goal of this work is to develop statistical descriptors of the myocardial dyeing pattern allowing objective assessment of myocardial perfusion. Experiments on healthy right coronary arteries show that our approach allows reliable measurements without any specific image acquisition protocol. | ||||
| Address | |||||
| Corporate Author | 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;MILAB | Approved | no | ||
| Call Number | IAM @ iam @ GRR2006 | Serial | 1528 | ||
| Permanent link to this record | |||||
| Author | Debora Gil; Petia Radeva | ||||
| Title | Extending anisotropic operators to recover smooth shapes | Type | Journal Article | ||
| Year | 2005 | Publication | Computer Vision and Image Understanding | Abbreviated Journal | |
| Volume | 99 | Issue | 1 | Pages | 110-125 |
| Keywords | Contour completion; Functional extension; Differential operators; Riemmanian manifolds; Snake segmentation | ||||
| Abstract | Anisotropic differential operators are widely used in image enhancement processes. Recently, their property of smoothly extending functions to the whole image domain has begun to be exploited. Strong ellipticity of differential operators is a requirement that ensures existence of a unique solution. This condition is too restrictive for operators designed to extend image level sets: their own functionality implies that they should restrict to some vector field. The diffusion tensor that defines the diffusion operator links anisotropic processes with Riemmanian manifolds. In this context, degeneracy implies restricting diffusion to the varieties generated by the vector fields of positive eigenvalues, provided that an integrability condition is satisfied. We will use that any smooth vector field fulfills this integrability requirement to design line connection algorithms for contour completion. As application we present a segmenting strategy that assures convergent snakes whatever the geometry of the object to be modelled is. | ||||
| Address | |||||
| Corporate Author | Thesis | ||||
| Publisher | Place of Publication |
Editor | |||
| Language | Summary Language | Original Title | |||
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 1077-3142 | ISBN | Medium | ||
| Area | Expedition | Conference | |||
| Notes | IAM;MILAB | Approved | no | ||
| Call Number | IAM @ iam @ GIR2005 | Serial | 1530 | ||
| Permanent link to this record | |||||
| Author | Debora Gil; Petia Radeva | ||||
| Title | Shape Restoration via a Regularized Curvature Flow | Type | Journal Article | ||
| Year | 2004 | Publication | Journal of Mathematical Imaging and Vision | Abbreviated Journal | |
| Volume | 21 | Issue | 3 | Pages | 205-223 |
| Keywords | |||||
| Abstract | Any image filtering operator designed for automatic shape restoration should satisfy robustness (whatever the nature and degree of noise is) as well as non-trivial smooth asymptotic behavior. Moreover, a stopping criterion should be determined by characteristics of the evolved image rather than dependent on the number of iterations. Among the several PDE based techniques, curvature flows appear to be highly reliable for strongly noisy images compared to image diffusion processes.
In the present paper, we introduce a regularized curvature flow (RCF) that admits non-trivial steady states. It is based on a measure of the local curve smoothness that takes into account regularity of the curve curvature and serves as stopping term in the mean curvature flow. We prove that this measure decreases over the orbits of RCF, which endows the method with a natural stop criterion in terms of the magnitude of this measure. Further, in its discrete version it produces steady states consisting of piece-wise regular curves. Numerical experiments made on synthetic shapes corrupted with different kinds of noise show the abilities and limitations of each of the current geometric flows and the benefits of RCF. Finally, we present results on real images that illustrate the usefulness of the present approach in practical applications. |
||||
| Address | |||||
| Corporate Author | 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;MILAB | Approved | no | ||
| Call Number | IAM @ iam @ GiR2004c | Serial | 1532 | ||
| Permanent link to this record | |||||