Jump to content United States-English
HP.com Home Products and Services Support and Drivers Solutions How to Buy
» Contact HP

hp.com home

Technical Reports

printable version

HP Labs

» Research
» News and events
» Technical reports
» About HP Labs
» Careers @ HP Labs
» Worldwide sites
» Downloads
Content starts here

Click here for full text: PDF

Homotopy Semilattices

Keshet, Renato


Keyword(s): mathematical morphology; complete inf-semilattices; erosion; opening; topographic distance; reconstruction; fillhole

Abstract: A new, quasi-self-dual approach for morphological image processing is introduced. This approach is based on a complete semilattice framework. The related morphological erosion, for instance, shrinks connected components in an image, regardless to whether they are bright or dark. In the binary case, the morphological operators are based on a complete inf-semilattice that is related to the homotopy tree. Two grayscale generalizations are investigated. The first is based on the topographic-distance concept, whereas the second one utilizes the reconstruction-based fillhole operation.

18 Pages

Back to Index

»Technical Reports

» 2009
» 2008
» 2007
» 2006
» 2005
» 2004
» 2003
» 2002
» 2001
» 2000
» 1990 - 1999

Heritage Technical Reports

» Compaq & DEC Technical Reports
» Tandem Technical Reports
Privacy statement Using this site means you accept its terms Feedback to HP Labs
© 2009 Hewlett-Packard Development Company, L.P.