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Author J.R. Serra; S. Casadei; J.B. Subirana edit  openurl
  Title Non-Cartesian Networks for Middle Level Vision. Type Miscellaneous
  Year (up) 1995 Publication VI National Simposium on Pattern Recognition and image Analysis Abbreviated Journal  
  Volume Issue Pages  
  Keywords  
  Abstract  
  Address Cordoba  
  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 Approved no  
  Call Number Admin @ si @ SCS1995 Serial 232  
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Author Ole Vilhelm-Larsen; Petia Radeva; Enric Marti edit   pdf
doi  openurl
  Title Guidelines for choosing optimal parameters of elasticity for snakes Type Book Chapter
  Year (up) 1995 Publication Computer Analysis Of Images And Patterns Abbreviated Journal LNCS  
  Volume 970 Issue Pages 106-113  
  Keywords  
  Abstract This paper proposes a guidance in the process of choosing and using the parameters of elasticity of a snake in order to obtain a precise segmentation. A new two step procedure is defined based on upper and lower bounds on the parameters. Formulas, by which these bounds can be calculated for real images where parts of the contour may be missing, are presented. Experiments on segmentation of bone structures in X-ray images have verified the usefulness of the new procedure.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  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 MILAB;IAM Approved no  
  Call Number IAM @ iam @ LRM1995b Serial 1558  
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Author Ole Larsen; Petia Radeva; Enric Marti edit   pdf
doi  openurl
  Title Bounds on the optimal elasticity parameters for a snake Type Journal Article
  Year (up) 1995 Publication Image Analysis and Processing Abbreviated Journal  
  Volume Issue Pages 37-42  
  Keywords  
  Abstract This paper develops a formalism by which an estimate for the upper and lower bounds for the elasticity parameters for a snake can be obtained. Objects different in size and shape give rise to different bounds. The bounds can be obtained based on an analysis of the shape of the object of interest. Experiments on synthetic images show a good correlation between the estimated behaviour of the snake and the one actually observed. Experiments on real X-ray images show that the parameters for optimal segmentation lie within the estimated bounds.  
  Address  
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  Language Summary Language Original Title  
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  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes MILAB;IAM Approved no  
  Call Number IAM @ iam @ LRM1995a Serial 1559  
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Author Josep Llados; Enric Marti edit   pdf
openurl 
  Title Interpretacio de dibuixos lineals mitjançant tècniques d isomorfisme entre grafs Type Conference Article
  Year (up) 1995 Publication Trobada de Joves Investigadors Abbreviated Journal  
  Volume Issue Pages  
  Keywords  
  Abstract L’anàlisi de documents té com a objectiu la interpretació automàtica de documents impresos sobre paper, amb la finalitat d’obtenir una descripció simbòlica d’aquests, que permeti el seu emmagatzemament i posterior tractament computacional. Les tècniques basades en grafs relacionals d’atributs permeten representar de manera compacta la informació continguda en dibuixos lineals i mitjançant mecanismes d’isomorfisme entre grafs, reconèixer-hi certes estructures i d’aquesta manera, interpretar el document. En aquest treball es dóna una visió general de les tènciques de grafs aplicades al reconeixement visual d’objectes en problemes d’anàlisi de documents. Aquestes tècniques s’il·lustren amb un exemple de reconeixement de plànols dibuixats a mà alçada. Finalment es proposa la utilització de tècniques de Hough com a mecanisme per accelerar el procés de reconeixement aplicant un cert coneixement sobre el domini en el que es treballa  
  Address  
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  Series Editor Series Title Abbreviated Series Title  
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  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes DAG;IAM Approved no  
  Call Number IAM @ iam @ LlM1995 Serial 1578  
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Author Petia Radeva; Enric Marti edit   pdf
doi  openurl
  Title An improved model of snakes for model-based segmentation Type Conference Article
  Year (up) 1995 Publication Proceedings of Computer Analysis of Images and Patterns Abbreviated Journal  
  Volume Issue Pages 515-520  
  Keywords  
  Abstract The main advantage of segmentation by snakes consists in its ability to incorporate smoothness constraints on the detected shapes that can occur. Likewise, we propose to model snakes with other properties that reflect the information provided about the object of interest in a different extent. We consider different kinds of snakes, those searching for contours with a certain direction, those preserving an object’s model, those seeking for symmetry, those expanding open, etc. The availability of such a collection of snakes allows not only the more complete use of the knowledge about the segmented object, but also to solve some problems of the existing snakes. Our experiments on segmentation of facial features justify the usefulness of snakes with different properties.  
  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 CAIP  
  Notes MILAB;IAM Approved no  
  Call Number IAM @ iam @ RaM1995b Serial 1632  
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Author Petia Radeva; Enric Marti edit  url
openurl 
  Title Facial Features Segmentation by Model-Based Snakes Type Conference Article
  Year (up) 1995 Publication International Conference on Computing Analysis and Image Processing Abbreviated Journal  
  Volume Issue Pages  
  Keywords  
  Abstract Deformable models have recently been accepted as a standard technique to segment different features in facial images. Despite they give a good approximation of the salient features in a facial image, the resulting shapes of the segmentation process seem somewhat artificial with respect to the natural feature shapes. In this paper we show that active contour models (in particular, rubber snakes) give more close and natural representation of the detected feature shape. Besides, using snakes for facial segmentation frees us from the problem of determination of the numerous weigths of deformable models. Another advantage of rubber snakes is their reduced computational cost. Our experiments using rubber snakes for segmentation of facial snapshots have shown a significant improvement compared to deformable models.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication 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 MILAB;IAM Approved no  
  Call Number IAM @ iam @ RAM1995a Serial 1633  
Permanent link to this record
 

 
Author Petia Radeva; Joan Serrat; Enric Marti edit   pdf
doi  openurl
  Title A snake for model-based segmentation Type Conference Article
  Year (up) 1995 Publication Proc. Conf. Fifth Int Computer Vision Abbreviated Journal  
  Volume Issue Pages 816-821  
  Keywords snakes; elastic matching; model-based segmenta tion  
  Abstract Despite the promising results of numerous applications, the hitherto proposed snake techniques share some common problems: snake attraction by spurious edge points, snake degeneration (shrinking and attening), convergence and stability of the deformation process, snake initialization and local determination of the parameters of elasticity. We argue here that these problems can be solved only when all the snake aspects are considered. The snakes proposed here implement a new potential eld and external force in order to provide a deformation convergence, attraction by both near and far edges as well as snake behaviour selective according to the edge orientation. Furthermore, we conclude that in the case of model-based seg mentation, the internal force should include structural information about the expected snake shape. Experiments using this kind of snakes for segmenting bones in complex hand radiographs show a signi cant improvement.  
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  Area Expedition Conference  
  Notes MILAB;ADAS;IAM Approved no  
  Call Number IAM @ iam @ RSM1995 Serial 1634  
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Author A. Martinez; Jordi Vitria edit  openurl
  Title Dimensionality reduction for face recognition Type Report
  Year (up) 1996 Publication CVC Technical Report #16 Abbreviated Journal  
  Volume Issue Pages  
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  Address CVC (UAB)  
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  Notes OR;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ MaV1996a Serial 57  
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Author Jordi Vitria; J. Llacer edit  doi
openurl 
  Title Reconstructing 3D light microscopic images using the EM algorithm Type Journal
  Year (up) 1996 Publication Pattern Recognition Letters Abbreviated Journal  
  Volume 17 Issue 14 Pages 1491–1498  
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  Notes OR;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ ViL1996 Serial 74  
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Author D. Seron; F. Moreso; C. Gratin; Jordi Vitria; E. Condom edit  openurl
  Title Automated classification of renal interstitium and tubules by local texture analysis and a neural ne Type Miscellaneous
  Year (up) 1996 Publication Analytical and Quantitative Cytology and Histology. Vol. 41, pp. 00–00 Abbreviated Journal  
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  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes OR;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ SMG1996 Serial 76  
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