DocumentCode
1872977
Title
Connective segmentation
Author
Serra, Jean
Author_Institution
A2SI Lab., Univ. of Paris-Est, Paris
fYear
2008
fDate
12-15 Oct. 2008
Firstpage
2192
Lastpage
2195
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on
Conference_Location
San Diego, CA
ISSN
1522-4880
Print_ISBN
978-1-4244-1765-0
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2008.4712224
Filename
4712224
Link To Document