Abstract
Having discussed a variety of methods for preprocessing, extraction of simple constituents, and classification we proceeded with considering some details of representation and manipulation of data, in particular data which are results of the aforementioned steps of processing. Now we turn to a discussion of some general principles for the choice of processing methods and the order of their application to subsets of competing intermediate results; specification of these steps is referred to as control A distinct control module is introduced into a pattern analysis system in order to allow a flexible system structure as indicated in Sect. 1.4. It became apparent that in analysis of (complex) patterns a module should be at hand which makes the best possible use of available processing methods for every pattern f r(x) ε Ω. One sequence of methods or processing steps, which is suited for a particular pattern f r(x), need not be optimal for another pattern f s(x). The control module should be able to find this optimal sequence, or at least a fairly good sequence of processing steps depending on the pattern offered to the system.
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Niemann, H. (1990). Control. In: Pattern Analysis and Understanding. Springer Series in Information Sciences, vol 4. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-74899-8_6
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DOI: https://doi.org/10.1007/978-3-642-74899-8_6
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