JD Prof. Johan Debayle, FIET, SMIEEE

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Publications of year 2014

Articles in journal, book chapters

  1. Y. Gavet, M. Fernandes, J. Debayle, and J. C. Pinoli. Dissimilarity criteria and their comparison for quantitative evaluation of image segmentation. Application to human retina vessels. Machine Vision and Applications, 25(8):1953-1966, 2014. Keyword(s): image segmentation, quantitative evaluation, segmentation evaluation, dissimilarity criteria, retinal blood vessels. [bibtex-entry]
  2. V. Gonzalez-Castro, J. Debayle, and J. C. Pinoli. Color adaptive neighborhood mathematical morphology and its application to pixel-level classification. Pattern Recognition Letters, 47(1):50-62, 2014. Keyword(s): mathematical morphology, general adaptive neighborhood, classification, color spaces, neural networks, integral geometry, Minkowski functionals. [bibtex-entry]
  3. S. Rivollier, J. Debayle, and J. C. Pinoli. Adaptive shape diagrams for multiscale morphometrical image analysis. Journal of Mathematical Imaging and Vision, 49(1):51-68, 2014. Keyword(s): general adaptive neighborhood, mathematical morphology, multiscale analysis, pattern analysis, shape diagram. [bibtex-entry]
  4. W. Shi, Z. Miao, and J. Debayle. An Integrated Method for Urban Main Road Centreline Extraction from Optical Remotely Sensed Imagery. IEEE Transactions on Geoscience and Remote Sensing, 52(6):3359-3372, 2014. Keyword(s): general adaptive neighborhood, multispectral imaging, pattern recognition. [bibtex-entry]
  5. J. Debayle and J. C. Pinoli. Advances in Low-Level Color Image Processing, chapter Spatially Adaptive Color Image Processing, pages 195-222. Springer, 2014. Note: Book Chapter. Keyword(s): adaptive image processing, color image processing, Choquet filtering, general adaptive neighborhood, image enhancement, image restoration, image segmentation, mathematical morphology. [bibtex-entry]

Conference articles

  1. V. Gonzalez-Castro, J. Debayle, and V. Curic. Pixel Classification using General Adaptive Neighborhood-based Features. In Proceedings of the 22nd International Conference on Pattern Recognition (ICPR), Stockholm, Sweden, 2014. Keyword(s): mathematical morphology, general adaptive neighborhood, classification, neural networks, integral geometry, Minkowski functionals. [bibtex-entry]

Miscellaneous

  1. J Debayle. General Adaptive Neighborhood Image Processing and Analysis. Invited seminar at the SIP Laboratory, University Paris-Descartes, France, November 2014. Keyword(s): general adaptive neighborhood, integral geometry, shape diagram, pattern recognition. [bibtex-entry]
  2. J. Debayle. General Adaptive Neighborhood Image Processing and Analysis. Invited seminar at the Imagine Laboratory, ENPC, Paris, France, April 2014. Keyword(s): general adaptive neighborhood, integral geometry, shape diagram, pattern recognition. [bibtex-entry]
  3. J. Debayle. General Adaptive Neighborhood Image Processing and Analysis. Invited seminar at the LHC laboratory, Saint-Etienne, France, April 2014. Keyword(s): general adaptive neighborhood, integral geometry, shape diagram, pattern recognition. [bibtex-entry]
  4. J. Debayle. Shape descriptors. Seminar for GEOMAG, Toulouse, France, September 2014. Keyword(s): general adaptive neighborhood, integral geometry, shape diagram, pattern recognition. [bibtex-entry]
  5. V. Gonzalez-Castro, J. Debayle, and V. Curic. Pixel Classification using General Adaptive Neighborhood-based Features. Seminar of the International Society for Stereology, February 2014. Keyword(s): mathematical morphology, general adaptive neighborhood, classification, neural networks, integral geometry, Minkowski functionals. [bibtex-entry]

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Last modified: Fri Dec 17 13:06:30 2021
Author: debayle

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