Teachable pattern scoring method
First Claim
1. A computerized teachable pattern scoring method comprising the steps of:
- a) Input a teaching image;
b) Perform region segmentation using the teaching image to generate regions of interest output;
c) Perform feature measurement using the teaching image and the regions of interest to generate region features output;
d) Input region pattern labels;
e) Perform pattern score learning using the region features and the region pattern labels to generate pattern score recipe output.
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Abstract
A computerized teachable pattern scoring method receives a teaching image and region pattern labels. A region segmentation is performed using the teaching image to generate regions of interest output. A feature measurement is performed using the teaching image and the regions of interest to generate region features output. A pattern score learning is performed using the region features and the region pattern labels to generate pattern score recipe output. A computerized region classification method using the region features and the pattern score recipe to generate pattern scores output. A region classification is performed using the pattern scores and region features to generate region class output.
16 Citations
15 Claims
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1. A computerized teachable pattern scoring method comprising the steps of:
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a) Input a teaching image; b) Perform region segmentation using the teaching image to generate regions of interest output; c) Perform feature measurement using the teaching image and the regions of interest to generate region features output; d) Input region pattern labels; e) Perform pattern score learning using the region features and the region pattern labels to generate pattern score recipe output. - View Dependent Claims (2, 3, 4, 5)
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6. A computerized update teaching of a teachable pattern scoring method comprising the steps of:
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a) Input a validation image; b) Perform region segmentation using the validation image to generate regions of interest output; c) Perform feature measurement using the validation image and the regions of interest to generate region features output; d) Input pattern score recipe; e) Perform pattern scoring using the region features and the pattern score recipe to generate pattern scores output; f) Perform additional pattern labeling using the pattern scores to generate additional region pattern labels output; g) Perform pattern score update learning using the region features, the additional region pattern labels and the pattern score recipe to generate updated pattern score recipe output. - View Dependent Claims (7, 8, 9)
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10. A computerized region classification method based on teachable pattern scoring comprising the steps of:
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a) Input at least one application image; b) Perform region segmentation using the application image to generate regions of interest output; c) Perform feature measurement using the application image and the regions of interest to generate region features output; d) Input pattern score recipe; e) Perform pattern scoring using the region features and the pattern score recipe to generate pattern scores output; f) Perform region classification using the pattern scores and region features to generate region class output. - View Dependent Claims (11, 12, 13, 14, 15)
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Specification