Number of hours
- Lectures 9.0
- Tutorials 9.0
ECTS
ECTS 1.25
Goal(s)
Mathematical Morphology is based on set theory and topology. But it is also a simple and powerful theory for
image analysis. Object can be extracted and measured from one or more 2D or 3D images. This course presents
the basic tools of the mathematical morphology with numerous images and examples.
Contact Michel DESVIGNES
Content(s)
Morphological Operators et Filters , granulometie.
Filtering and connectivity: Geodesic Opérators, connected Filters ,
Morphological skeletton and thinning.
Morphological Image segmentation and watershed
Prerequisites
Test
1 written exam.
N1=(2*E1+TP)/3
N2=(2*E2+TP)/3
Bibliography
Coster M, Chermant JL. Précis d’analyse d’images. Paris. 2nd édition: Les Presses du CNRS, 1989.
M.Schmitt and L. Vincent. Morphological image analysis : a practical and algorithmic handbook. Cambridge
University Press, 2006.
Pierre Soille, Morphological image analysis, Springer-Verlag Berlin, Heidelberg, 1999 (2nd edition 2003)