Method of directed pattern enhancement for flexible recognition
First Claim
1. A directed pattern enhancement method comprising the steps of:
- a) Input learning image and pattern enhancement directive;
b) Perform pattern enhancement learning using the learning image and the pattern enhancement directive having pattern enhancement recipe output;
c) Input application image;
d) Perform pattern enhancement application using the application image and the pattern enhancement recipe having pattern enhanced image output.
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Abstract
A directed pattern enhancement method receives a learning image and pattern enhancement directive. Pattern enhancement learning is performed using the learning image and the pattern enhancement directive to generate pattern enhancement recipe. An application image is received and a pattern enhancement application is performed using the application image and the pattern enhancement recipe to generate pattern enhanced image. A recognition thresholding is performed using the pattern enhanced image to generate recognition result. The pattern enhancement directive consists of background directive, patterns to enhance directive, and patterns to suppress directive. An update learning method performs pattern enhancement progressive update learning.
48 Citations
12 Claims
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1. A directed pattern enhancement method comprising the steps of:
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a) Input learning image and pattern enhancement directive; b) Perform pattern enhancement learning using the learning image and the pattern enhancement directive having pattern enhancement recipe output; c) Input application image; d) Perform pattern enhancement application using the application image and the pattern enhancement recipe having pattern enhanced image output.
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6. The pattern enhancement application of claim 13 further comprising the steps of:
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a) Perform foreground suppression pattern matching using foreground suppression pattern recipe and the application image having suppression score output; b) Perform integration using the enhancement score, the suppression score and the background score having pattern enhanced image output.
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7. The integration step of claim 14 further comprising a special integration step when both the enhancement score and suppression score have high values.
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8. The special integration step of claim 15 uses the average enhancement score and average suppression score of the neighbors of the points.
- 9. The special integration step of claim 15 uses whole neighbor as template to create a new enhancement score and a new suppression score.
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10. An update learning method comprising the steps of:
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a) Input image and pattern enhancement recipe; b) Perform pattern enhancement application using the pattern enhancement recipe and the image having pattern enhanced image output; c) Perform performance review and directive generation using the pattern enhanced image having progressive pattern enhancement directive output; d) Perform pattern enhancement progressive update learning using the image and pattern enhancement recipe having progressive updated pattern enhancement recipe.
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- 11. The update learning method of claim 18 wherein the progressive update learning updates background recipe foreground enhancement pattern recipe and foreground suppression pattern recipe.
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12. The update learning method of claim 18 further comprises a regressive update learning step using pattern enhancement recipe, learned image and regressive recognition enhancement directive having regressive updated pattern enhancement recipe output.
Specification