Automatic classifier for real time inspection and classification
First Claim
1. A classification system for classifying the characteristics of an article into classes of characteristics based on features associaated with the characteristics, the system comprising:
- a first rule-based classifier providing rules that embody requirements of selected features so as to together define selected classes, the rules to be applied to measured features of an article characteristic to assign one of the selected classes to that characteristic, should the article characteristic meet the feature requirements of one of the selected classes; and
a trainable classifier that is configured based on a training set of preclassified characteristics and a corresponding training class set which can include characteristic classes that are not the selected classses of the first-rule based classifier, the trainable classifier connected so as to accept from the first rule-based classifier an article characteristic not classified by the first ruled-based classifier, to assign one of the training set classes to thea characteristic, should the trainable classifier configuration associate that characteristic with one of the training set classes.
2 Assignments
0 Petitions
Accused Products
Abstract
An improved classification system for classifying characteristics of an article into classes of characteristics based on features associated with the characteristics. The system includes a first rule-based classifier that provides rules that embody requirements of selected features so as to together define selected classes. These rules are applied to measured features of an article characteristic to assign one of the selected classes to that characteristic, should the article characteristic meet the feature requirements of one of the selected classes. The system also includes a trainable classifier configured based on a training set of preclassified characteristics, with the trainable classifier connected so as to accept from the first rule-based classifier an article characteristic not classified by the rule based classifier. The trainable classifier assigns one of the training set classes to the unclassified characteristic, should the trainable classifier configuration associate that characteristic with one of the training set classes. A second rule-based classifier can be connected so as to accept classified characteristics from the trainable classifier for making refinement classifications, and a third rule-based classifier can be connected so as to accept unclassified characteristics from the trainable classifier for making classification based on selected classes.
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Citations
23 Claims
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1. A classification system for classifying the characteristics of an article into classes of characteristics based on features associaated with the characteristics, the system comprising:
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a first rule-based classifier providing rules that embody requirements of selected features so as to together define selected classes, the rules to be applied to measured features of an article characteristic to assign one of the selected classes to that characteristic, should the article characteristic meet the feature requirements of one of the selected classes; and a trainable classifier that is configured based on a training set of preclassified characteristics and a corresponding training class set which can include characteristic classes that are not the selected classses of the first-rule based classifier, the trainable classifier connected so as to accept from the first rule-based classifier an article characteristic not classified by the first ruled-based classifier, to assign one of the training set classes to thea characteristic, should the trainable classifier configuration associate that characteristic with one of the training set classes. - View Dependent Claims (6, 7, 8, 9, 10, 13, 14)
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2. A classification system for classifying charateristics of an article into classes of characteristics based on features associated with the characteristics, the system comprising:
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a trainable classifier configured based on a training set of preclassified characteristics for assigning one of the training set classes to an article characteristic, should the trainable classifier configuration associate that characteristic with one of the training set classes; and a first rule-based classifier connected so as to accept from the trainable classier a classified article characteristic for refining classification of that characteristic, the first rule-based classifier providing refinement rules embodying requirements of selected refinement features so as to together define refinement classes, the refinement rules to be applied to measured features of the classified article characteristic for assignment one of the refinement classes to the classified characteristic, should the classified characteristic meet the refinement feature requirements of one of the refinement classes. - View Dependent Claims (15, 16, 17, 19)
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3. A classification system for classifying characteristics of an article into classes of characteristics based on features associated with the characteristics, the system comprising:
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a trainable classifier configured based on a training set of preclassified characteristics for assigning one of the training set classes to an article characteristic, should the trainable classifier configuration associate that characteristic with one of the training set classes; and a first rule-based classifier connected so as to accept from the trainable classifier an article characteristic not classified by the trainale classifier, the first rule-based classifier providing rules that embody requirements of selected features to as to together define selected classes, the rules to be applied to measured features of the unclassified article characteristic for assigning one of the selected classes to the unclassified characteristic, should the unclassified article characteristic meet the feature requirements of one of the selected classes.
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4. A classification system for classifying characteristics of an article into classes of characteristics based on features associated with the characteristics, the system comprising:
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a first rule-based classifier providing rules that embody requirements of selected features so as to together define selected classes, the rules to be applied to measured features of an article characteristic to assign one of the selected classes to that characteristic, should the article characteristic meet the feature requirements of one of the selected classes; a trainable classifier configured based on a training set of preclassified characteristics, the trainable classifier connected so as to accept from the first rule-based classifier an article characteristic not classified by the rule based classifier, to assign one of the training set classes to that characteristic, should the trainable classifier configuration associate that characteristic with one of the training set classes; and a second rule-based classifier connected so as to accept from the trainable classifier an article characteristic not classified by the trainable classifier and the first rule-based classifier, the second rule-based classifier providing rules that embody requirements of selected features so as to together define selected classes, to be applied to measured features of the unclassified article characteristic for assigning to the unclassified characteristic one of the selected classes, should the unclassified characteristic meet the feature requirements of one of the selected classes.
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5. A classification system for classifying characteristics of an article into classes of characteristics based on features associated with the characteristics, the system comprising:
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a first-rule based classifier providing rules that embody requirements of selected features so as to together define selected classes, the rules to be applied to measured features of an article characteristic to assign one of the selected classes to that characteristic, should the article characteristic meet the feature requirements of one of the selected classes; a trainable classifier configured based on a training set of preclassified characteristics, the trainable classifier connected so as to accept from the first rule-based classifier an article characteristic not classified by the rule based classifier, to assign one of the training set classes to that characteristic, should the trainable classifier configuration associate that characteristic with one of the training set classes; and a second rule-based classifier connected so as to accept from the trainable classifier a classified article characteristic for refining classification of that characteristic, the second rule-based classifier providing refinement rules that embody requirements of selected refinement features so as to define refinement classes, the refinement rules to be applied to measured features of the classified article characteristic to assign one of the refinement classes to the classified characteristic, should the classified characteristic meet the refinement feature requirements of one of the refinement classes. - View Dependent Claims (11, 12, 18)
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20. An image classification system comprising:
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feature extraction means responsive to an image of an article to produce feature information about characteristics of the article for classification of the characteristics into classes; a first rule-based classifier providing rules that embody requirements of selected features so as to together define selected classes, the rules to be applied to the extracted feature information of a given characteristic for assigning one of the selected classes to that characteristic, should the article characteristic meet the feature requirements of one of the selected classes; a trainable classifier configured based on a training set of preclassified characteristics, the trainable classifier connected so as to accept from the first rule-based classifier an article characteristic not classified by the rule based classifier, to assign one of the training set classes to that characteristic, should the trainable classifier configuration associate that characteristic with one of the training set classes; a second rule-based classifier connected so as to accept from the trainable classifier a classified article characteristic for refining classification of that characteristic, the second rule-based classifier providing refinement rules that embody requirements of selected refinement features so as to together define refinement classes, the refinement rules to be applied to extracted features of the classified article characteristic to assign one of the refinement classes to the classified characteristic, should the classified characteristic meet the refinement feature requirements of one of the refinement classes; and a third rule-based classifer connected so as to accept form the trainable classifier an article characteristic not classified by the trainable classifier and the first rule-based classifier, the third rule-based classifier providing rules that embody requirements of selected features so as to together define selected classes, the rules to be applied to extracted features of the unclassified article characteristic to assign one of the selected classes to that characteristic, should the article characteristic meet the feature requirements of one of the selected classes.
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21. A method for classifying characteristics of an article into classes of characteristics based on features associated with the characteristics, the method comprising:
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applying rules, that embody requirements of selected features so as to define selected classes, to measured features of an article characteristic to be classified; assigning one of the selected classes to the article characteristic, should the characteristic meet the feature requirements of the rules for one of the selected classes; and providing a characteristic that is not assigned one of the selected classes to the trainable classifier that is configured based on a training set of preclassified characteristics and a corresponding training class set which can include characteristic classes that are not the selected classes, the trainable classifier assigning one of the training set classes to the unclassified characteristic, should the trainable classifier configuration associate that characteristic with one of the training set classes.
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22. A method for classifying characteristics of an article into classes of characteristics based on features associated with the characteristics, the method comprising:
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applying rules, that embody requirements of selected features so as to define selected classes, to measured features of an article characteristic to be classified; assigning one of the selected classes to the article characteristic, should the characteristic meet the feature requirements of the rules for one of the selected classes; providing a characteristic that is not assigned one of the selected classes to a trainable classifier that is configured based on a training set of preclassified characteristics, the trainable classifier assigning one of the training set classes to the unclassified characteristic, should the trainable classifier configuration associate that characteristic with one of the training set classes; accepting an unclassified article characteristic from the trainable classifier; applying to measured features of the unclassified characteristic rules that embody requirements of selected features so as to together define selected classes; and assigning one of the selected classes to the unclassified characteristic, should the unclassified characteristic meet feature requirements of the rules for one of the selected classes.
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23. A method for classifying characteristics of an article into classes of characteristics based on features associated with the characteristics, the method comprising:
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applying rules, that embody requirements of selected features so as to define selected classes, to measured features of an article characteristic to be classified; assigning one of the selected classes to the article characteristic, should the characteristic meet the feature requirements of the rules for one of the selected classes; providing a characteristic that is not assigned one of the selected classes to a trainable classifier that is configured based on a training set of preclassified characteristics, the trainable classifier assigning one of the training set classes to the unclassifed characteristic, should the trainable classifier configuration associate that characteristic with one of the training set classes; accepting a classifed article characteristic from the trainable classifier; applying to measured features of the classified characteristic refinement rules that embody requirements of refinement features so as to together define refinement classes; and assigning one of the refinement classes to the classified characteristic, should the classified characteristic meet the refinement feature requirements of the refinement rules for one of the refinement classes.
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Specification