Connected morphological operators improve image classification

Erik Urbach; Jos Roerdink; Michael Wilkinson

doi:10.1117/2.1200706.0699

Connected morphological operators improve image classification

Erik Urbach, Jos Roerdink, Michael Wilkinson

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Abstract

A new method of pattern-based analysis increases speed and accuracy and is invariant to image orientation.

Original language	English
Number of pages	4
Journal	SPIE Newsroom
DOIs	https://doi.org/10.1117/2.1200706.0699
Publication status	Published - 2007

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title = "Connected morphological operators improve image classification",

abstract = "A new method of pattern-based analysis increases speed and accuracy and is invariant to image orientation.",

author = "Erik Urbach and Jos Roerdink and Michael Wilkinson",

note = "Relation: http://www.rug.nl/informatica/organisatie/overorganisatie/iwi Rights: University of Groningen. Research Institute for Mathematics and Computing Science (IWI)",

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language = "English",

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AU - Urbach, Erik

AU - Roerdink, Jos

AU - Wilkinson, Michael

N1 - Relation: http://www.rug.nl/informatica/organisatie/overorganisatie/iwi Rights: University of Groningen. Research Institute for Mathematics and Computing Science (IWI)

PY - 2007

Y1 - 2007

N2 - A new method of pattern-based analysis increases speed and accuracy and is invariant to image orientation.

AB - A new method of pattern-based analysis increases speed and accuracy and is invariant to image orientation.

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DO - 10.1117/2.1200706.0699

M3 - Article

JO - SPIE Newsroom

JF - SPIE Newsroom

ER -

Connected morphological operators improve image classification

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