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Optimal decomposition of large-neighborhood CNN templates

terBrugge, M H (author)
Nijhuis, J, A, G (author)
Spaanenburg, Lambert (author)
Lund University,Lunds universitet,Institutionen för elektro- och informationsteknik,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Electrical and Information Technology,Departments at LTH,Faculty of Engineering, LTH
 (creator_code:org_t)
2004
2004
English.
In: Proceedings 8th CNNA. ; , s. 160-165
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • From a practical point of view, template decomposition is an important issue since image processing operations can be non−local while the cells in physical CNN realizations often only communicate with cells in their direct neighborhood. In this paper the existing relation between Mathematical Morphology and CNNs is used to derive an optimal template decomposition strategy for a specific class of templates. The strategy is based on the decomposition of morphological structuring elements.

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)

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