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Cho et al., 1991 - Google Patents

A comparison of rule-based, K-nearest neighbor, and neural net classifiers for automated

Cho et al., 1991

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Document ID
8428740574855560215
Author
Cho T
Conners R
Araman P
Publication year
Publication venue
Proceedings, Developing and Managing Expert System Programs. pp. 202-209.

External Links

Snippet

Over the last few years the authors have been involved in research aimed at developing a machine vision system for locating and identifying surface defects on materials. The particular problem being studied involves locating surface defects on hardwood lumber in a …
Continue reading at research.fs.usda.gov (PDF) (other versions)

Classifications

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    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6267—Classification techniques
    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06K9/6279—Classification techniques relating to the number of classes
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    • G06K9/6228—Selecting the most significant subset of features
    • G—PHYSICS
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    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
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