Hardware Architectures for Morphological Filters with Large Structuring Elements
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F12%3A43916424" target="_blank" >RIV/49777513:23220/12:43916424 - isvavai.cz</a>
Výsledek na webu
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DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Hardware Architectures for Morphological Filters with Large Structuring Elements
Popis výsledku v původním jazyce
This thesis is focused on implementation of fundamental morphological filters in the dedicated hardware. The main objective of this thesis is to provide a programmable and efficient implementation of basic morphological operators using efficient dataflowalgorithms considering the entire application point of view. The main contributions of this thesis are: 1) new algorithm for arbitrary-oriented opening and pattern spectrum, 2) programmable hardware implementation of fundamental morphological operatorswith large structuring elements and arbitrary orientation, 3) performance increase obtained through multi-level parallelism. Results suggest that the previously unachievable, real-time performance of these traditionally costly operators can be attained even for long concatenations and high-resolution images.
Název v anglickém jazyce
Hardware Architectures for Morphological Filters with Large Structuring Elements
Popis výsledku anglicky
This thesis is focused on implementation of fundamental morphological filters in the dedicated hardware. The main objective of this thesis is to provide a programmable and efficient implementation of basic morphological operators using efficient dataflowalgorithms considering the entire application point of view. The main contributions of this thesis are: 1) new algorithm for arbitrary-oriented opening and pattern spectrum, 2) programmable hardware implementation of fundamental morphological operatorswith large structuring elements and arbitrary orientation, 3) performance increase obtained through multi-level parallelism. Results suggest that the previously unachievable, real-time performance of these traditionally costly operators can be attained even for long concatenations and high-resolution images.
Klasifikace
Druh
O - Ostatní výsledky
CEP obor
JA - Elektronika a optoelektronika, elektrotechnika
OECD FORD obor
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Návaznosti výsledku
Projekt
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Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2012
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů