Learning-type classifying apparatus and learning-type classifying method
First Claim
1. A learning-type classifying apparatus comprising:
- region extracting unit for extracting regions of classification targets from an image in which the plurality of regions of the classification targets are present;
characteristic value calculating unit for calculating characteristic values for the extracted regions of the classification targets;
classifying unit for classifying the extracted regions of the classification targets into predetermined classes on the basis of the calculated characteristic values;
region integrating unit for integrating the regions which belong to the same class as a result of the classification;
display unit for displaying images of the integrated regions and the classification results;
input unit for correcting errors in the classification results; and
teacher data creating unit for creating teacher data for each of the regions so that the classification results of the integrated regions are reflected in each region included in the integrated regions.
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Accused Products
Abstract
A learning-type classifying apparatus comprises defective region extracting unit for extracting defective regions of classification targets from an image in which the plurality of regions of the classification targets are present, characteristic value calculating unit for calculating characteristic values for the extracted regions of the classification targets, classifying unit for classifying the extracted regions of the classification targets into predetermined classes on the basis of the calculated characteristic values, region integrating unit for integrating the regions which belong to the same class as a result of the classification, display unit for displaying images of the integrated regions and the classification results, input unit for correcting errors in the classification results, and teacher data creating unit for creating teacher data for each of the regions so that the classification results of the integrated regions are reflected in each region included in the integrated regions.
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Citations
10 Claims
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1. A learning-type classifying apparatus comprising:
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region extracting unit for extracting regions of classification targets from an image in which the plurality of regions of the classification targets are present;
characteristic value calculating unit for calculating characteristic values for the extracted regions of the classification targets;
classifying unit for classifying the extracted regions of the classification targets into predetermined classes on the basis of the calculated characteristic values;
region integrating unit for integrating the regions which belong to the same class as a result of the classification;
display unit for displaying images of the integrated regions and the classification results;
input unit for correcting errors in the classification results; and
teacher data creating unit for creating teacher data for each of the regions so that the classification results of the integrated regions are reflected in each region included in the integrated regions. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A learning-type classifying method comprising:
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extracting regions of classification targets from an image in which the plurality of regions of the classification targets are present;
calculating characteristic values for the extracted region;
classifying the regions into predetermined classes on the basis of the calculated characteristic values;
integrating the regions which belong to the same class as a result of the classification;
displaying images of the integrated regions and the classification results;
acquiring instruction information to correct errors in the classification results; and
creating teacher data for each of the regions so that the classification results of the integrated regions are reflected in each region included in the integrated regions. - View Dependent Claims (8, 9, 10)
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Specification