The Comparative Recognition of Monochrome and Color Images Using Networks of N-Tuple and Min/Max Nodes Utilizing 'Grouped Nodes'

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F13%3A43919014" target="_blank" >RIV/49777513:23220/13:43919014 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
The Comparative Recognition of Monochrome and Color Images Using Networks of N-Tuple and Min/Max Nodes Utilizing 'Grouped Nodes'
Original language description
This paper documents the results obtainable when either networks of n-tuple (NT) logic nodes or Min/Max (MM) nodes are used to recognize monochrome and color images. Networks of n-tuple nodes are based upon the n-tuple methodology originated by Bledsoe and Browning. Networks of Min/Max nodes employ similar techniques but are capable of directly processing grey-scale values. Both networks are illustrated with appropriate diagrams. The comparative results indicate that color recognition generally providesimproved confidence levels. Also, overall, for 'equivalent' networks there are insignificant differences amongst the responses. By means of implementing grouping of the nodes, higher confidence levels can be obtained. Of importance, if a suitable threshold is applied to the summed values of grouped nodes, the nets can be configured to provide confidence levels approaching 100%. The documented methodologies are relatively simple to implement in either hardware or software, easy to use an
Czech name
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Czech description
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Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2013 International Conference on Applied Electronics
ISBN
978-80-261-0166-6
ISSN
1803-7232
e-ISSN
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Number of pages
6
Pages from-to
321-326
Publisher name
University of West Bohemia
Place of publication
Pilsen
Event location
Pilsen
Event date
Sep 10, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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