Abstract
In this paper a new connectivity model is introduced which allows combined clustering and partitioning of structures without distortion, in contrast to mask connectivity. An algorithm to compute morphological attribute filters based on Max-Trees for this new form of connectivity is presented. It is shown that the new form of connectivity is effective in clustering diacritics together with the appropriate letters in historical documents, whilst separating letters from different lines in a single Max-Tree algorithm.
Original language | English |
---|---|
Title of host publication | Proceedings of the 21st International Conference on Pattern Recognition, ICPR 2012 |
Publisher | IEEE (The Institute of Electrical and Electronics Engineers) |
Pages | 1334-1337 |
Number of pages | 4 |
ISBN (Print) | 978-4-9906441-0-9 |
Publication status | Published - 2012 |
Event | 21st International Conference on Pattern Recognition - Tsukuba, Japan Duration: 11-Nov-2012 → 15-Nov-2012 http://www.icpr2012.org/ |
Conference
Conference | 21st International Conference on Pattern Recognition |
---|---|
Abbreviated title | ICPR |
Country/Territory | Japan |
City | Tsukuba |
Period | 11/11/2012 → 15/11/2012 |
Internet address |