IS Prof. Dr. Hab. Jean-Charles PINOLI MINES-TELECOM
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CNRS CARNOT-MINES

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All publications of J.-C. Pinoli:

    1. J. C. Pinoli, J. Debayle, Y. Gavet, F. Gruy, and C. Lambert, editors. 10th SPIE International Conference on Quality Control by Artificial Vision (QCAV), 2011. SPIE. [bibtex-entry]
    2. Mathieu Fernandes, Yann Gavet, and Jean-Charles Pinoli. Image Restoration: Recent Advances and Applications, chapter Surface Topography and Texture Restoration from Sectional Optical Imaging by Focus Analysis. INTECH, 2012. [bibtex-entry]
    3. Yann Gavet and Jean-Charles Pinoli. A Geometric Dissimilarity Criterion Between Jordan Spatial Mosaics. Theoretical Aspects and Application to Segmentation Evaluation. Journal of Mathematical Imaging and Vision, 42:25-49, 2012. Note: 10.1007/s10851-011-0272-4. Keyword(s): Computer Science.

      Abstract:
      An image segmentation process often results in a special spatial set, called a mosaic, as the subdivision of a domain S within the n -dimensional Euclidean space. In this paper, S will be a compact domain and the study will be focused on finite Jordan mosaics, that is to say mosaics with a finite number of regions and where the boundary of each region is a Jordan hypersurface. The first part of this paper addresses the problem of comparing a Jordan mosaic to a given reference Jordan mosaic and introduces the ε dissimilarity criterion. The second part will show that the ε dissimilarity criterion can be used to perform the evaluation of image segmentation processes. It will be compared to classical criterions in regard to several geometric transformations. The pros and cons of these criterions are presented and discussed, showing that the ε dissimilarity criterion outperforms the other ones.
      [bibtex-key = Gavet2012] [bibtex-entry]
    4. M Laggarrigue, S Jacquier, J Debayle, JC Pinoli, and F Gruy. Approximation for the light scattering cross section of optically hard aggregates. Journal of Quantitative Spectroscopy and Radiative Transfer, 2012. [bibtex-entry]
    5. J. C. Pinoli. Mathématiques pour le traitement et l'analyse des images binaires. Techniques de l'Ingénieur, (E 6 610):E - 6 612 : 1-25, February 2012. Keyword(s): Gray tone images, image processing, image analysis, mathematical imaging,. [bibtex-entry]
    6. J. C. Pinoli. Mathématiques pour le traitement et l'analyse des images á tons de gris. Techniques de l'Ingénieur, (E 6 610):E - 6 610 : 1-25, February 2012. Keyword(s): Gray tone images, image processing, image analysis, mathematical imaging,. [bibtex-entry]
    7. J. C. Pinoli and J. Debayle. Adaptive Generalized Metrics, Distance Maps and Nearest Neighbor Transforms on Gray Tone Images. Pattern Recognition, 2012. Note: Accepted paper. [bibtex-key = pinoli:pr:2012] [bibtex-entry]
    8. J. C. Pinoli, G. Deng, and K. Panetta. Theory and application of general linear image processing. EURASIPJournal on Advances in Signal Processing, 21, 2012. [bibtex-entry]
    9. J. Debayle and J. C. Pinoli. Advances in Imaging and Electron Physics, volume 167, chapter Theory and Applications of General Adaptive Neighborhood Image Processing, pages 121--183. Elsevier, 2011. Note: Book Chapter. Keyword(s): Adaptive Fuzzy Measure, Adaptive Grey-Tone Generalized Metric, Adaptive Structuring Element, Analyzing Criterion, Choquet Filtering, Distance Transform, General Adaptive Neighborhood, General Linear Image Processing, Human Visual Perception, Image Enhancement, Image Multiscale Decomposition, Image Restoration, Image Segmentation, Intrinsic Scales, Mathematical Morphology, Transmitted Light. [bibtex-key = debayle:aiep:2011] [bibtex-entry]
    10. J. Debayle and J. C. Pinoli. Applied Biomedical Engineering, chapter General Adaptive Neighborhood Image Processing for Biomedical Applications, pages 481--500. InTech, 2011. Note: Book Chapter. Keyword(s): adaptive image processing, Choquet filtering, general adaptive neighborhood, image enhancement, image restoration, image segmentation, mathematical morphology. [bibtex-key = debayle:intech:2011] [bibtex-entry]
    11. 10th SPIE International Conference on Quality Control by Artificial Vision (QCAV). In J. C. Pinoli, J. Debayle, Y. Gavet, F. Gruy, and C. Lambert, editors, Proceedings of SPIE, volume 8000. SPIE, 2011. Note: Edited Book. [bibtex-key = pinoli:spie:2011] [bibtex-entry]
    12. O. Ahmad, J. Debayle, and J. C. Pinoli. A geometric-based method for recognizing overlapping polygonal-shaped and semi-transparent particles in gray tone images. Pattern Recognition Letters, 32(15):2068--2079, 2011. Keyword(s): Salient corner detection, contour detection, clustering method, overlapping particles recognition. [bibtex-key = ahmad:prl:11] [bibtex-entry]
    13. J. Debayle and J. C. Pinoli. General Adaptive Neighborhood-based Pretopological Image Filtering. Journal of Mathematical Imaging and Vision, 41(3):210--221, 2011. Keyword(s): general adaptive neighborhood, image enhancement, image restoration, pretopology, viscous filtering. [bibtex-key = debayle:jmiv:11] [bibtex-entry]
    14. M. Fernandes, Y. Gavet, and J.-C. Pinoli. Improving focus measurements using logarithmic image processing. Journal of Microscopy, 242(3):228-241, June 2011. Keyword(s): autofocusing, focus measurement, human brightness perception, logarithmic image processing (LIP), microscopy, shape-from-focus.

      Abstract:
      Summary The logarithmic image processing (LIP) model is a mathematical framework which provides algebraic and functional operations for the processing of intensity images valued in a bounded range. The LIP model has been proved to be physically consistent, most notably with some image formation models and several laws and characteristics of human brightness perception. This paper addresses the image focus measurement problem using the LIP model. The three most classical image focus measurements: the sum-modified-Laplacian, the tenengrad and the variance, which aim at estimating the degree of focus of an acquired image by emphasizing and quantifying its sharpness information, are considered and reinterpreted using the LIP framework. These reinterpretations notably make attempts at evaluating degrees of focus in terms of human brightness (sensation) from physical light stimuli. Their potential is illustrated and validated on shape-from-focus issues on both simulated data and real acquisitions in digital optical microscopy. The concept of shape-from-focus involves recovering the shape of an observed thick sample by locally maximizing a focus measurement throughout a sequence of differently focused images. Finally, it is shown that the LIP-based focus measurements clearly outperform their respective classical ones.
      [bibtex-key = Fernandes2011] [bibtex-entry]
    15. B. Presles, J. Debayle, G. Fevotte, and J. C. Pinoli. A novel image analysis method for in-situ monitoring the particle size distribution of batch crystallization processes. Journal of Electronic Imaging, 19(3):1--7, 2010. Note: Special Section on Quality Control by Artificial Vision. Keyword(s): cristallization, deconvolution, pattern analysis, segmentation, size distribution. [bibtex-key = presles:jei:10] [bibtex-entry]
    16. S. Rivollier, J. Debayle, and J. C. Pinoli. Integral Geometry and General Adaptive Neighborhood for Multiscale Image Analysis. International Journal of Signal and Image Processing, 1(3):141--150, 2010. Keyword(s): general adaptive neighborhood, Minkowski functionals, Minkowski maps, multiscale analysis. [bibtex-key = rivollier:ijsip:10] [bibtex-entry]
    17. S. Rivollier, J. Debayle, and J. C. Pinoli. Shape diagrams for 2D compact sets - Part I: analytic convex sets. Australian Journal of Mathematical Analysis and Applications, 7(2-3):1--27, 2010. Keyword(s): pattern analysis, shape diagram. [bibtex-key = rivollier:jipam1:10] [bibtex-entry]
    18. S. Rivollier, J. Debayle, and J. C. Pinoli. Shape diagrams for 2D compact sets - Part II: analytic simply connected sets. Australian Journal of Mathematical Analysis and Applications, 7(2-4):1--21, 2010. Keyword(s): pattern analysis, shape diagram. [bibtex-key = rivollier:jipam2:10] [bibtex-entry]
    19. S. Rivollier, J. Debayle, and J. C. Pinoli. Shape diagrams for 2D compact sets - Part III: convexity discrimination for analytic and discretized simply connected sets. Australian Journal of Mathematical Analysis and Applications, 7(2-5):1--18, 2010. Keyword(s): pattern analysis, shape diagram. [bibtex-key = rivollier:jipam3:10] [bibtex-entry]
    20. G Thuret, M Fernandes, Y Gavet, JC Pinoli, S Piselli, S Acquart, and P Gain. 3D reconstruction of endothelial surface of organ-cultured corneas to improve their quality control. Acta Ophthalmologica, 88:0--0, 2010.

      Abstract:
      Purpose Corneal endothelium of organ cultured cornea forms a 3D surface because of corneal curvature and of the Descemetic folds (of hundreds of μm depth) that appear during storage. Eye bank technicians have therefore a risk of endothelial cell density (ECD) overestimation when counting on an image projection. Our aim is to develop a 3D reconstruction from a Z stack of images in order to take account of the local slope and increase ECD reliabilityMethods Z stacks of 35 images were acquired with a motorized light microscope (BX41, Olympus) through a x10 objective. After routine eye bank preparation with saline, EC appeared with a clear cytoplasm and dark borders but could locally show a contrast reversal. In each section, the best-focused pixels were determined using focus measurement algorithms. Depth map and texture image were then separately generated and the 3D reconstruction was obtained by projecting the texture image onto the depth map. A new algorithm, based on projections onto eigenbases, was developed and compared to 5 existing algorithms. Comparison was done using 1/ simulated images with additive noises to assess the reliability and noise robustness 2/ true endothelial imageResults The new algorithm exhibited a more robust behaviour in presence of noise than the other algorithms. 3D endothelial reconstructions were also visually better, especially in case of local contrast reversalConclusion Using a technology easily transposable into an eye bank, a reliable 3D reconstruction is possible from routine images that are often of average quality with poor contrast and high background noise. Our next step is to integrate the local slope information to correct local ECD
      [bibtex-key = THURET2010] [bibtex-entry]
    21. J. Debayle and J. C. Pinoli. General Adaptive Neighborhood Choquet Image Filtering. Journal of Mathematical Imaging and Vision, 35(3):173--185, November 2009. Keyword(s): Choquet filtering, fuzzy measure, general adaptive neighborhood, image restoration. [bibtex-key = debayle:jmiv:09] [bibtex-entry]
    22. J. Debayle, A. Raihane, A. Belhaoua, O. Bonnefoy, G. Thomas, J. M. Chaix, and J. C. Pinoli. Velocity field computation in vibrated granular media using an optical flow based multiscale image analysis method. Image Analysis and Stereology, 28:35--43, March 2009. Keyword(s): grain motion, granular media, horizontal vibrations, multiscale analysis, optical flow, velocity field. [bibtex-key = debayle:ias:09] [bibtex-entry]
    23. Yann Gavet and Jean-Charles Pinoli. Visual perception based automatic recognition of cell mosaics in human corneal endothelium microscopy images. Image Analysis and Stereology, 27:53--61, 2008. [bibtex-key = Gavet2008a] [bibtex-entry]
    24. L. Navarro, G. Courbebaisse, and J. C. Pinoli. Continuous frequency and phase spectrograms: a study of their 2D and 3D capabilities and application to musical signal analysis. Journal of Zhejiang University SCIENCE A, 9(2):199-206, 2008. Keyword(s): Frequency spectrogram, Phase spectrogram, Time-frequency representations, Musical signals. [bibtex-entry]
    25. J. C. Pinoli and J. Debayle. Logarithmic Adaptive Neighborhood Image Processing (LANIP): Introduction, Connections to Human Brightness Perception and Application Issues. EURASIP Journal on Advances in Signal Processing, 2007(Article ID 36105, 22 pages), 2007. Note: Special Issue on Image Perception. Keyword(s): general adaptive neighborhood, mathematical morphology, logarithmic image processing. [bibtex-key = pinoli:jasp:07] [bibtex-entry]
    26. J. Debayle, Y. Gavet, and J. C. Pinoli. General Adaptive Neighborhood Image Restoration, Enhancement and Segmentation, volume 4141 of LNCS: Image Analysis and Recognition, chapter Image Restoration and Enhancement, pages 29--40. Springer Verlag, 2006. Keyword(s): general adaptive neighborhood, mathematical morphology, algebraic models. [bibtex-key = Debayle2006] [bibtex-entry]
    27. J. Bernard F., F. Guerillot-Maire, G. Choquet, B. Lacroix, C. Lambert, X. Bay, F. Gruy, and J. C. Pinoli. La méthode Idadige (image and data analysis for differential in gel electrophoresis). Bulletin du Cancer, 93 (numéro spécial):S 119 -120, Mars 2006. [bibtex-entry]
    28. J. Debayle and J. C. Pinoli. General Adaptive Neighborhood Image Processing - Part I: Introduction and Theoretical Aspects. Journal of Mathematical Imaging and Vision, 25(2):245--266, September 2006. Keyword(s): general adaptive neighborhood, mathematical morphology, algebraic models, logarithmic image processing. [bibtex-key = debayle:jmiv1:06] [bibtex-entry]
    29. J. Debayle and J. C. Pinoli. General Adaptive Neighborhood Image Processing - Part II: Practical Application Examples. Journal of Mathematical Imaging and Vision, 25(2):267--284, September 2006. Keyword(s): general adaptive neighborhood, mathematical morphology, algebraic models, logarithmic image processing. [bibtex-key = debayle:jmiv2:06] [bibtex-entry]
    30. J. Lambert C., C. Iobagiu, J. C. Pinoli, and F. Gruy. Outils de validation cytomique d’expression protéomique des adénocarcinomes. Bulletin du Cancer, 93 (numero special):133-134, Mars 2006. [bibtex-entry]
    31. J. Debayle and J. C. Pinoli. Spatially Adaptive Morphological Image Filtering using Intrinsic Structuring Elements. Image Analysis and Stereology, 24(3):145--158, November 2005. Keyword(s): adaptive neighborhood, mathematical morphology. [bibtex-key = debayle:ias:05] [bibtex-entry]
    32. M. Jourlin and J. C. Pinoli. Advances in Imaging and Electron Physics, volume 167, chapter Logarithmic Image Processing, pages 129--196. Acaemic Press, 2001. Note: Book Chapter. Keyword(s): Beer-Lambert Law, Contrast, Differentiation of Gray Tone Functions, Gray Tones, Fechner Law, Gray Tone Functions, Gray Tone Images, Human Visual Perception, Image Enhancement, Image Multiscale Decomposition, Image Restoration, Image Segmentation, Integration of Gray Tone FunctionsLogarithmic Image Processing, Mathematical Morphology, Modulus Notion, Reflected light, Transmitted Light, Weber Law. [bibtex-entry]
    33. M. Fernandes, Y. Gavet, and Pinoli J. C.. Robust 3-D reconstruction of surfaces from image focus by local cross-sectional multivariate statistical analyses: application to human ex-vivo corneal endotheliums. Medical Image Analysis, 201. [bibtex-entry]
    34. Rivollier Johan Debayle Jean-Charles Pinoli. In , 2012. [bibtex-entry]
    35. S. Rivollier, J. Debayle, and J. C. Pinoli. Analyse morphométrique d'images à tons de gris par diagrammes de forme. In Conference of RFIA, 2012. [bibtex-key = rivollier:rfia:2012] [bibtex-entry]
    36. O. Ahmad, J. Debayle, N. Gherras, B. Presles, G. Févotte, and J. C. Pinoli. Recognizing overlapped particles during a crystallization process from in situ video images for measuring their size distributions. In 10th SPIE International Conference on Quality Control by Artificial Vision (QCAV), Saint-Etienne, France, June 2011. Keyword(s): pattern recognition, cristallization. [bibtex-key = ahmad:qcav:11] [bibtex-entry]
    37. J. Debayle and J. C. Pinoli. Caractérisation géométrique et vélocimétrique d'empilements granulaires par analyse d'image. In 10ème Colloque national en calcul des structures (CSMA), Giens, France, May 2011. Keyword(s): 3d, arch detection, grain motion, granular media, mathematical morphology, multiscale analysis, optical flow, velocity field. [bibtex-key = debayle:csma:11] [bibtex-entry]
    38. J. Debayle and J. C. Pinoli. General adaptive neighborhood viscous mathematical morphology. In 10th International Symposium on Mathematical Morphology (ISMM), Lecture Notes in Computer Science, Intra, Italy, July 2011. Springer Verlag. Keyword(s): general adaptive neighborhood, image enhancement, image restoration, mathematical morphology, viscous filtering. [bibtex-key = debayle:ismm:11] [bibtex-entry]
    39. Yann Gavet, Mathieu Fernandes, and Jean-Charles Pinoli. Automatic quantitative evaluation of image registration techniques with the epsilon dissimilarity criterion in the case of retinal images. In JC Pinoli, J Debayle, Y Gavet, F Gruy, and C Lambert, editors, 10th SPIE International Conference on Quality Control by Artificial Vision (QCAV), volume 8000 of Proceedings of SPIE, 2011. LPMG CNRS, Saint-Etienne; Ecole Nationale Superieure des Mines de Saint-Etienne; La Ville de Saint-Etienne; La Metropole de Saint-Etienne; Le Conseil General de la Loire, SPIE. Note: 10th International Conference on Quality Control by Artificial Vision, Saint Etienne, FRANCE, JUN 28-30, 2011.

      Abstract:
      In human retina observation (with non mydriatic optical microscopes), a registration process is often employed to enlarge the field of view. For the ophthalmologist, this is a way to spare time browsing all the images. A lot of techniques have been proposed to perform this registration process, and indeed, its good evaluation is a question that can be raised. This article presents the use of the epsilon dissimilarity criterion to evaluate and compare some classical featurebased image registration techniques. The problem of retina images registration is employed as an example, but it could also be used in other applications. The images are first segmented and these segmentations are registered. The good quality of this registration is evaluated with the epsilon dissimilarity criterion for 25 pairs of images with a manual selection of control points. This study can be useful in order to choose the type of registration method and to evaluate the results of a new one.
      [bibtex-key = Gavet2011] [bibtex-entry]
    40. J. C. Pinoli and J. Debayle. General adaptive distance transforms on gray-tone images: application to image segmentation. In IEEE International Conference on Image Processing (ICIP), Brussell, Belgium, September 2011. Keyword(s): generalized metric, distance transform, general adaptive neighborhood, distance map, segmentation. [bibtex-key = pinoli:icip:2011] [bibtex-entry]
    41. B. Presles, J. Debayle, Y. Maillot, and J. C. Pinoli. Automatic recognition of 2D shapes from a set of points. In International Conference on Image Analysis and Recognition (ICIAR), Lecture Notes in Computer Science, Burnaby, BC, Canada, June 2011. Springer Verlag. Keyword(s): convexity, Delaunay triangulation, human visual perception, LDA-\alpha-shapes, pattern recognition. [bibtex-key = presles:iciar:11] [bibtex-entry]
    42. M. Lagarrigue, J. Debayle, S. Jacquier, F. Gruy, and J. C. Pinoli. Geometrical characterization of various shaped 3D-aggregates of primary spherical particules by radial distribution functions. In International Conference on Image Analysis and Recognition (ICIAR), volume 6112 of Lecture Notes in Computer Science, Povoa de Varzim, Portugal, pages 434--443, June 2010. Springer Verlag. Keyword(s): aggregate, function of pairs, pattern analysis, radial distribution function. [bibtex-key = lagarrigue:iciarconf:10] [bibtex-entry]
    43. M. Lagarrigue, S. Jacquier, J. Debayle, J. C. Pinoli, and F. Gruy. Caractérisation géométrique et optique de plusieurs types d'agrégats. In Conférence Cristallisation et Précipitation Industrielles, Marseille, France, May 2010. Keyword(s): pattern analysis, light scattering cross-section, aggregate. [bibtex-key = lagarrigue:cristal62:10] [bibtex-entry]
    44. M. Lagarrigue, S. Jacquier, J. Debayle, J. C. Pinoli, and F. Gruy. Multi-scale agglomerates: relationship between morphology and optical properties. In World Congress of Particle Technology (WCPT), Nuremberg, Germany, April 2010. Keyword(s): pattern analysis, light scattering cross-section, aggregate. [bibtex-key = lagarrigue:wcpt:10] [bibtex-entry]
    45. B. Presles, A. Cameirao, J. Debayle, J. C. Pinoli, and G. Fevotte. Caractérisation géométrique de particules lors de leurs cristallisations en solution par analyse d'image in situ. In Conférence Cristallisation et Précipitation Industrielles, Marseille, France, May 2010. Keyword(s): cristallization, deconvolution, pattern analysis, segmentation, size distribution. [bibtex-key = presles:cristal6:10] [bibtex-entry]
    46. B. Presles, J. Debayle, G. Cameirao, A. a,d Fevotte, and J. C. Pinoli. Volume estimation of 3D particles with known convex shapes from its projected areas. In IEEE International Conference on Image Processing Theory, Tools and Applications (IPTA), Paris, France, 2010. IEEE. Keyword(s): pattern analysis, projected areas, stereology. [bibtex-key = presles:ipta:10] [bibtex-entry]
    47. S. Rivollier, J. Debayle, and J. C. Pinoli. Shape representation and analysis of 2D compact sets by shape diagrams. In IEEE International Conference on Image Processing Theory, Tools and Applications (IPTA), Paris, France, 2010. IEEE. Keyword(s): convex sets, pattern analysis, shape diagram. [bibtex-key = rivollier:ipta:10] [bibtex-entry]
    48. J. Debayle and J. C. Pinoli. General Adaptive Neighborhood Representation for Adaptive Choquet Image Filtering. In 10th European Congress of Stereology and Image Analysis (ECSIA), Milan, Italy, pages 431--436, June 2009. Keyword(s): adaptive image processing, Choquet filtering, general adaptive neighborhood, image representation, multiscale analysis. [bibtex-key = debayle:ecsia:09] [bibtex-entry]
    49. J. Debayle, A. Raihane, A. Belhaoua, O. Bonnefoy, J. M. Chaix, J. L. Gelet, G. Thomas, and J. C. Pinoli. Velocity field computation in vibrated granular media. In 9th IEEE/SPIE International Conference on Quality Control by Artificial Vision (QCAV), Wels, Austria, May 2009. Keyword(s): grain motion, granular media, horizontal vibrations, multiscale analysis, optical flow, velocity field. [bibtex-key = debayle:qcav2:09] [bibtex-entry]
    50. Mathieu Fernandes, Yann Gavet, and Jean-Charles Pinoli. A feature-based dense local registration of pairs of retinal images.. In H. Ranchordas, A. ; Araujo, editor, Proceedings of the 4th International Conference on Computer VISion Theory and APplications, VISAPP, volume 1, Lisbonne Portugal, pages 265-265, 2009. INSTICC-Institut for Systems and Technologies of Information Control and Communication. Keyword(s): Feature-based registration, Retinal images, Opthalmology, Local transformation, Dense transformation..

      Abstract:
      {A} method for spatial registering pairs of digital images of the retina is presented, using intrinsic feature points (landmarks) and dense local transformation. {F}irst, landmarks, i.e. blood vessel bifurcations, are extracted from both retinal images using filtering followed by thinning and branch point analysis. {C}orrespondances are found by topological and structural comparisons between both retinal networks. {F}rom this set of matching points, a displacement field is computed and, finally, one of the two images is transformed. {D}ue to complex retinal registration problem, the presented transformation is dense, local and adaptive. {E}xperimental results established the effectiveness and the interest of the dense registration method.
      [bibtex-key = Fernandes2009] [bibtex-entry]
    51. Yann Gavet and Jean-Charles Pinoli. QUANTITATIVE AND QUALITATIVE EVALUATION OF HUMAN ENDOTHELIAL CELLS IMAGE SEGMENTATION. In V Capasso, G Aletti, and A Micheletti, editors, ECS10: THE10TH EUROPEAN CONGRESS OF STEREOLOGY AND IMAGE ANALYSIS, pages 199-205, 2009. Note: 10th European Congress of Stereology and Image Analysis, Milan, ITALY, JUN 22-26, 2009.

      Abstract:
      The cell density in the human corneal endothelium is mainly responsible for the transparency of the cornea. Its measurement is thus of importance for the ophthalmologists, that classicaly use optical specular microscopy to capture in vivo images of the corneal endothelium. An image segmentation process is then used to detect the cells and partition the images. Different computational methods can perform this task, but it remains visually difficult to evaluate the quality of their results. This article proposes a novel quantitative evaluation criterion, adapted to the cellular spatial structure (called a mosaic, that results of the segmentation). This criterion does not respect the properties of a metric, but is related to the notion of dissimilarity defined by the psychologists. It is used to quantify the results of three dedicated image segmentation methods on a learning image database and thus allows a first classification between them. The two best methods are hence selected and then applied on hundred new images. They are blindly proposed to the ophthalmology experts for marking. Their judgement corroborates the quantitative analysis, which confirms the practical relevance of this dissimilarity criterion.
      [bibtex-key = Gavet2009] [bibtex-entry]
    52. J. C. Pinoli and J. Debayle. General Adaptive Neighborhood Mathematical Morphology. In IEEE International Conference on Image Processing (ICIP), Cairo, Egypt, November 2009. Note: Invited paper / Special Session on Adaptive Morphology. Keyword(s): adaptive image processing, mathematical morphology, general adaptive neighborhood. [bibtex-key = pinoli:icip:09] [bibtex-entry]
    53. B. Presles, J. Debayle, A. Rivoire, G. Févotte, and J. C. Pinoli. Monitoring the particle size distribution using image analysis during batch crystallization processes. In 9th IEEE/SPIE International Conference on Quality Control by Artificial Vision (QCAV), Wels, Austria, May 2009. Keyword(s): cristallization, deconvolution, pattern analysis, segmentation, size distribution. [bibtex-key = presles:qcav:09] [bibtex-entry]
    54. B. Presles, J. Debayle, A. Rivoire, J. C. Pinoli, and G. Févotte. In situ particle size measurements during cristallisation processes using image analysis. In Conference of Société Française de Génie des Procédés (SFGP), Marseille, France, September 2009. Note: Keynote Conference. Keyword(s): cristallization, deconvolution, pattern analysis, segmentation, size distribution. [bibtex-key = presles:sfgp:09] [bibtex-entry]
    55. S. Rivollier, J. Debayle, and J. C. Pinoli. Fonctionnelles et fonctions de Minkowski à Voisinages Adaptatifs Généraux pour l'analyse des images à tons de gris. In Conference of GRETSI, Dijon, France, September 2009. Keyword(s): general adaptive neighborhood, algebraic models, mathematical morphology, Minkowski functionals, Minkowski maps, multiscale analysis, pattern analysis. [bibtex-key = rivollier:gretsi:09] [bibtex-entry]
    56. S. Rivollier, J. Debayle, and J. C. Pinoli. General Adaptive Neighborhood-Based Minkowski Maps for Gray-Tone Image Analysis. In 10th European Congress of Stereology and Image Analysis (ECSIA), Milan, Italy, pages 219--224, June 2009. Keyword(s): general adaptive neighborhood, algebraic models, mathematical morphology, Minkowski functionals, Minkowski maps, multiscale analysis, pattern analysis. [bibtex-key = rivollier:ecsia:09] [bibtex-entry]
    57. Yann Gavet and Jean-Charles Pinoli. Image recognition of mosaics, human vision and application to human corneal endothelium. In proceedings of the 12th International Congress for Stereology, Sept. 2007. Note: Saint-Étienne, France. [bibtex-key = Gavet2007] [bibtex-entry]
    58. Yann Gavet, Jean-Charles Pinoli, Gilles Thuret, and Philippe Gain. Human visual perception, gestalt principles and duality region-contour - Application to computer image analysis of human cornea endothelium. In AK Ranchordas, H Araujo, and J Vitria, editors, VISAPP 2007: Proceedings of the Second International Conference on Computer Vision Theory and Applications, Volume IU/MTSV, pages 221-224, 2007. Inst Syst & Technologies Informat, Control & Commun; Comp Vis Ctr. Note: 2nd International Conference on Computer Vision Theory and Applications, Barcelona, SPAIN, MAR 08-11, 2007.

      Abstract:
      The human visual system is far more efficient than a computer to analyze images, especially when noise or poor acquisition process make the analysis impossible by lack of information. To mimic the human visual system, we develop algorithms based on the gestalt theory principles: proximity and good continuation. We also introduce the notion of mosaic that we reconstruct with those principles. Mosaics can be defined as geometry figures (squares, triangles), or issued from a contour detection system or a skeletonization process. The application presented here is the detection of cornea endothelial cells. They present a very geometric structure that give enough information for a non expert to be able to perform the same analysis as the ophthalmologist, that mainly consists on counting the cells and evaluating the cell density.
      [bibtex-key = Gavet2007a] [bibtex-entry]
    59. C. Polo, E. Pourchez, J. Debayle, J. C. Pinoli, and G. Thomas. Détection de voûtes par analyse d'image 3D dans des empilements granulaires. In Journée annuelle de la Société Française de Métallurgie et de Matériaux (JA SF2M), Saint-Etienne, France, pages 129--130, May 30 - June 1, 2007. Keyword(s): 3d, arch detection, mathematical morphology. [bibtex-key = polo:sf2m:07] [bibtex-entry]
    60. J. Pourchez, J. Debayle, P. Grosseau, J. C. Pinoli, E. Boller, and E. Maire. Etude de la structuration du réseau poreux des matériaux cimentaires frais par microtomographie au rayonnement synchrotron à acquisition rapide. In Journée annuelle de la Société Française de Métallurgie et de Matériaux (JA SF2M), Saint-Etienne, France, pages 147--148, May 30 - June 1, 2007. Keyword(s): 3d, mathematical morphology, size distribution. [bibtex-key = pourchez:sf2m:07] [bibtex-entry]
    61. J. Pourchez, P. Grosseau, E. Rouèche-Pourchez, J. Debayle, J. C. Pinoli, E. Maire, E. Boller, and E. Parra-Denis. Impact of cellulose ethers on the cement paste microstructure. In 10th International Conference and Exhibition of the European Ceramic Society (ECERS), Berlin, Germany, pages 2045--2050, June 17-21, 2007. Keyword(s): 3d, mathematical morphology, size distribution. [bibtex-key = pourchez:ecers:07] [bibtex-entry]
    62. S. Rivollier, J. Debayle, and J. C. Pinoli. Représentation intrinsèque multi-échelle des images à tons de gris par Voisinages Adaptatifs Généraux (VAG). In Conference of GRETSI, Troyes, France, pages 781--784, September 2007. Keyword(s): general adaptive neighborhood, analyzing criterion, mathematical morphology, algebraic models, logarithmic image processing. [bibtex-key = rivollier:gretsi:07] [bibtex-entry]
    63. J. Debayle, Y. Gavet, and J. C. Pinoli. General Adaptive Neighborhood Image Restoration, Enhancement and Segmentation. In 3rd International Conference on Image Analysis and Recognition (ICIAR), volume 4141 of Lecture Notes in Computer Science: Image Analysis and Recognition, Povoa De Varzim, Portugal, pages 29--40, September 18-20, 2006. Springer. Keyword(s): general adaptive neighborhood, mathematical morphology, algebraic models. [bibtex-key = debayle:iciar2:06] [bibtex-entry]
    64. J. Debayle and J. C. Pinoli. Adaptive-Neighborhood Mathematical Morphology and its Applications to Image Filtering and Segmentation. In 9th European Congress on Stereology and Image Analysis (ECSIA), volume 2, Zakopane, Poland, pages 123--130, May 10-13 2005. Keyword(s): adaptive neighborhood, mathematical morphology. [bibtex-key = debayle:ecsia:05] [bibtex-entry]
    65. J. Debayle and J. C. Pinoli. Multiscale Image Filtering and Segmentation by means of Adaptive Neighborhood Mathematical Morphology. In IEEE International Conference on Image Processing (ICIP), Genova, Italy, pages 2669--2672, September 11-14, 2005. Keyword(s): adaptive neighborhood, mathematical morphology, multiscale analysis. [bibtex-key = debayle:icip:05] [bibtex-entry]
    66. B. Feraud, R. Y. Fillit, S. Gras, and J. C. Pinoli. Nanometric characterization of aspheric optical surfaces in calcium fluoride by multi-wavelength image processing. In JC Pinoli, J Debayle, Y Gavet, F Gruy, and C Lambert, editors, 7th SPIE International Conference on Quality Control by Artificial Vision (QCAV), May 2005. Note: 7th International Conference on Quality Control by Artificial Vision, Nagoya, Japan, May 18-20, 2005.

      Abstract:
      In human retina observation (with non mydriatic optical microscopes), a registration process is often employed to enlarge the field of view. For the ophthalmologist, this is a way to spare time browsing all the images. A lot of techniques have been proposed to perform this registration process, and indeed, its good evaluation is a question that can be raised. This article presents the use of the epsilon dissimilarity criterion to evaluate and compare some classical featurebased image registration techniques. The problem of retina images registration is employed as an example, but it could also be used in other applications. The images are first segmented and these segmentations are registered. The good quality of this registration is evaluated with the epsilon dissimilarity criterion for 25 pairs of images with a manual selection of control points. This study can be useful in order to choose the type of registration method and to evaluate the results of a new one.
      [bibtex-entry]
    67. S. Gras, B. Feraud, R. Y. Fillit, and J. C. Pinoli. Nanometric characterization of aspheric optical surfaces in calcium fluoride by multi-wavelength image processing. In Proc. of 5th EUSPEN International Conference - Montpellier – France - May 2005, May 2005. [bibtex-entry]
    68. B. Presles, A. Cameirao, G. Fevotte, and J. C. Pinoli. Analyse de cristaux. Colloque Rhône-Alpes de quantimétrie cellulaire, June 2010. Keyword(s): cristallization, pattern analysis, size distribution, stereology. [bibtex-key = presles:cyto:10] [bibtex-entry]
    69. B. Presles, J. Debayle, A. Cameirao, G. Fevotte, and J. C. Pinoli. Caractérisation géométrique et morphologique par analyse d'images 2D de particules lors d'un processus de cristallisation. Journée de la recherche, ED-SE, May 2010. Keyword(s): cristallization, pattern analysis, size distribution, stereology. [bibtex-key = presles:jdred:10] [bibtex-entry]
    70. B. Presles, J. Debayle, A. Cameirao, G. Févotte, and Pinoli J. C.. Volume estimation of 3D crystals by projective stereology. Seminar of the International Society for Stereology, February 2010. Keyword(s): pattern analysis, projected areas, stereology. [bibtex-key = presles:iss:10] [bibtex-entry]
    71. M. Lagarrigue, J. Debayle, S. Jacquier, J. C. Pinoli, and F. Gruy. Caractérisations optique et morphologique des agrégats multi-échelles. Journée de la recherche, ED-SE, April 2009. Keyword(s): pattern analysis, light scattering cross-section, aggregate. [bibtex-key = lagarrigue:jdred:09] [bibtex-entry]
    72. S. Rivollier, J. Debayle, and J. C. Pinoli. Cartographies des fonctionnelles de Minkowski adaptatives pour l'analyse des images à tons de gris. Seminar of the International Society for Stereology, January 2009. Keyword(s): general adaptive neighborhood, algebraic models, mathematical morphology, Minkowski functionals, Minkowski maps, multiscale analysis, pattern analysis. [bibtex-key = rivollier:iss:09] [bibtex-entry]
    73. Séverine Rivollier, Johan Debayle, and Jean-Charles Pinoli. Analyse d'image quantitative multi-échelle à Voisinages Adaptatifs Généraux (VAG). Journée de la recherche, ED-SE, April 2008. Note: Prix du meilleur poster. Keyword(s): general adaptive neighborhood, multiscale analysis, pattern analysis. [bibtex-key = rivollier:jdred:08] [bibtex-entry]
    74. Johan Debayle and Jean-Charles Pinoli. Traitement d'image morphologique multi-échelle spatialement adaptatif. Journée de la recherche, ED-SE, April 2004. Keyword(s): adaptive neighborhood, mathematical morphology. [bibtex-key = debayle:jdred:04] [bibtex-entry]

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    Last modified: Thu Mar 22 09:46:02 2012
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