Title :
Connective segmentation
Author_Institution :
A2SI Lab., Univ. of Paris-Est, Paris
Abstract :
These last five years, mathematical morphology evolved in a few directions, an important one being a theory and practice of segmentation. This theory is based on the search for maximal partitioning of the space. The central theorem of the paper (Theorem 7) identifies segmentation with some classes of connections. Just as connections, the segmentations can then be regrouped by suprema and infima, which permits serial and parallel combinations. The segmentation classes turn out to be independent of their location in the measuring field, assuming that a convenient neighborhood is experimentally accessible.
Keywords :
image segmentation; mathematical morphology; optimisation; connective segmentation; image segmentation; mathematical morphology; optimization; Extraterrestrial measurements; Image processing; Image segmentation; Laboratories; Lattices; Lead; Morphology; Partitioning algorithms; Connective segmentation; image segmentation; mathematical morphology; optimization; partition lattice;
Conference_Titel :
Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-1765-0
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2008.4712224