Search Results - "Tabbone, S"

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  1. 1

    EVALUATION OF LOW-COST DEPTH SENSORS FOR OUTDOOR APPLICATIONS by Haenel, R., Semler, Q., Semin, E., Grussenmeyer, P., Tabbone, S.

    “…Depth information is a key component that allows a computer to reproduce human vision in plenty of applications from manufacturing, to robotics and autonomous…”
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    Journal Article Conference Proceeding
  2. 2

    A new shape descriptor defined on the Radon transform by Tabbone, S., Wendling, L., Salmon, J.-P.

    Published in Computer vision and image understanding (01-04-2006)
    “…This paper presents a novel approach to identify complex shapes based on the Radon transform. We propose an adaptation of Radon transform called R - transform…”
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    Journal Article
  3. 3

    Optimal Classifier Fusion in a Non-Bayesian Probabilistic Framework by Terrades, O.R., Valveny, E., Tabbone, S.

    “…The combination of the output of classifiers has been one of the strategies used to improve classification rates in general purpose classification systems…”
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    Journal Article
  4. 4

    DSD: document sparse-based denoising algorithm by Do, T. H., Ramos Terrades, O., Tabbone, S.

    Published in Pattern analysis and applications : PAA (01-02-2019)
    “…In this paper, we present a sparse-based denoising algorithm for scanned documents. This method can be applied to any kind of scanned documents with…”
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    Journal Article
  5. 5

    Histogram of radon transform. A useful descriptor for shape retrieval by Tabbone, S., Terrades, O.R., Barrat, S.

    “…In this paper we present a new descriptor based on the Radon transform. We propose a histogram of the Radon transform, called HRT, which is invariant to common…”
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    Conference Proceeding
  6. 6

    Technical symbols recognition using the two-dimensional Radon transform by Tabbone, S., Wendling, L.

    “…We introduce a new method to generate feature vectors to be used in symbol recognition. We propose a new exploitation of the Radon transform to generate…”
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    Conference Proceeding
  7. 7

    A new way to detect arrows in line drawings by Wendling, L., Tabbone, S.

    “…A new way of detecting arrows in line drawings is proposed. We provide a set of criteria which are aggregated using the Choquet integral. These criteria are…”
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    Journal Article
  8. 8

    Matching of graphical symbols in line-drawing images using angular signature information by TABBONE, S, WENDLING, L, TOMBRE, K

    “…In this paper, a method for matching complex objects in line drawings is presented.Our approach is based on the notion of $\mathcal{F}$-signatures, which are a…”
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    Journal Article
  9. 9

    An original multi-scale algorithm to binarize images by Tabbone, S., Wendling, L.

    “…An original approach to binarize gray level images is proposed. A multi-scale algorithm based on a statistical test of homogeneity decides if a region belongs…”
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    Conference Proceeding
  10. 10

    DSD: document sparse-based denoising algorithm by Do, T., Ramos Terrades, O., Tabbone, S.

    Published in Pattern analysis and applications : PAA (01-02-2019)
    “…In this paper, we present a sparse-based denoising algorithm for scanned documents. This method can be applied to any kind of scanned documents with…”
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    Journal Article
  11. 11

    Fast polygonal approximation of digital curves by Debled-Rennesson, I., Tabbone, S., Wendling, L.

    “…In this paper, we have extended the approach defined in to a multiorder analysis. The approach is based on the arithmetical definition of discrete lines with…”
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    Conference Proceeding
  12. 12

    Recognition of symbols in grey level line-drawings from an adaptation of the Radon transform by Tabbone, S., Wendling, L.

    “…An adaptation of the Radon transform is proposed to recognize grey level symbols. We directly process on the grey level document in order to improve the…”
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    Conference Proceeding
  13. 13

    Detecting junctions using properties of the Laplacian of Gaussian detector by Tabbone, S.

    “…This paper describes a fast junction detection algorithm using the Laplacian of Guassian detector. We propose a general junction model and analyze its behavior…”
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    Conference Proceeding
  14. 14

    Binarization of color images from an adaptation of possibilistic c-means algorithm by Tabbone, S., Wendling, L.

    “…A color image binarization is presented in this paper. The iterative possibilistic c-means algorithm is adapted by adding a fuzzy entropy criterion to split…”
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    Conference Proceeding
  15. 15

    Retrieving images by content from strong relational graph matching by Tabbone, S., Wendling, L.

    “…A new method is proposed to retrieve images by content. The approach is based on the matching of strong graphs defined by relational signatures computed…”
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    Conference Proceeding
  16. 16

    Cooperation between edges and junctions for edge grouping by Tabbone, S.

    “…Edge detection is a fundamental stage in order to facilitate the analysis or the interpretation of an image. However classical edge detectors usually yield…”
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    Conference Proceeding
  17. 17

    Behavior of the Laplacian of Gaussian Extrema by Tabbone, S. A., Alonso, L., Ziou, D.

    Published in Journal of mathematical imaging and vision (01-07-2005)
    “…This paper analyses the behavior in scale space of linear junction models (L, Y and X models), nonlinear junction models, and linear junction multi-models. The…”
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    Journal Article
  18. 18

    An approach to detect lofar lines by Di Martino, J.-C., Tabbone, S.

    Published in Pattern recognition letters (01-01-1996)
    “…The problem of extracting spectral lines from sonar images is treated using a complete scheme that combines an edge detector with a line tracing process…”
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    Journal Article
  19. 19

    Symbol spotting for technical documents: An efficient template-matching approach by Weber, J., Tabbone, S.

    “…Symbol retrieval for technical documents is still a hot challenge in the document analysis community. In this paper we propose another way to spot symbols. A…”
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    Conference Proceeding
  20. 20

    Fast computation of orthogonal polar harmonic transforms by Hoang, T. V., Tabbone, S.

    “…This paper presents a method for the computation of polar harmonic transforms that is fast and efficient. The method is based on the inherent recurrence…”
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    Conference Proceeding