Duration : 10h30' courses
Contents. 2D skeletonization: distance skeleton, homotopical reduction, simple point, sequential and parallel algorithms. Applications of discrete topology and geometry: double thresholding, contour closing, generation of shading-off. Binary morphology: dilation, erosion, hit-or-miss transform, opening and closing. Flat operators, median filter, parametric opening. Geodesical reconstruction, opening and closing by reconstruction, connected operators. Watershed.
Duration : 10h courses (among 26h)
Contents. Edge detection: measurement, localization and filtering. Flat operators, rank filter, parametric opening. Algebraic openings and closings. Alternate filtering. Geodesical reconstruction, opening and closing by reconstruction, connected operators. Granulometry. Watershed.
References.
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Prentice Hall (2008).
Goutsias J., Batman S., Morphological Methods for Biomedical Image
Analysis, Handbook of Medical Imaging: Volume 2, Medical
Image Processing and Analysis, M. Sonka & J.M. Fitzpatrick
(eds.), SPIE Optical Engineering Press (2000), p. 175-272.
Najman L., Talbot H. (Eds.), Morphologie mathématique 1:
approches déterministes, Hermès / Lavoisier
(2008).
Najman L., Talbot H. (Eds.), Morphologie mathématique 2:
estimation, choix et mise en œuvre, Hermès /
Lavoisier (2010).
Najman L., Talbot H. (Eds.), Mathematical Morphology, ISTE /
Wiley (2010).
Soille P., Morphological Image Analysis: Principles and
Applications, Springer Verlag (1999).