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SOME ASPECTS OF VISUAL PATTERN RECOGNITION

Authors: J.F. SCHUH;

SOME ASPECTS OF VISUAL PATTERN RECOGNITION

Abstract

This paper is concerned with the detection of “features” of visual patterns, in particular with a view to the construction of a reading automaton. The features can be divided into micro‐features and macro‐features. It is much more difficult to detect a macro‐feature than a micro‐feature of a pattern. For the detection of at least a large class of macro‐features interative processes seem to be the most appropriate, since by these processes the detection of a macro‐feature is reduced to the repeated detection of a micro‐feature, while further a given micro‐feature can be displaced, by such a process, over virtually the whole screen on which the image is projected. Two examples of such processes are discussed.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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