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US Patent 10922803 Determining clean or dirty captured images

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Patent
Patent
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Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
0
Patent Number
109228030
Patent Inventor Names
Sebastian Carreno0
Anas Mhana0
Daniel Herchenbach0
Robin Lehmann0
Date of Patent
February 16, 2021
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Patent Application Number
161984990
Date Filed
November 21, 2018
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Patent Citations
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US Patent 10453366 System and method for white spot mura detection
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US Patent 10186026 Single image detection
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US Patent 10607331 Image segmentation into overlapping tiles
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US Patent 10115040 Convolutional neural network-based mode selection and defect classification for image fusion
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US Patent 10185892 Automatic large-scale imaging device diagnostics
Patent Primary Examiner
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Xuemei G Chen
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Patent abstract

Methods are provided for determining whether an image captured by a capturing device is clean or dirty. These methods include: receiving the image captured by the image capturing device; splitting the received image into a plurality of image portions according to predefined splitting criteria; performing, for each of at least some of the image portions, a Laplacian filter of the image portion to produce a feature vector including Laplacian filter features of the image portion; providing the feature vectors to a first machine learning module that has been trained to produce a clean/dirty indicator depending on corresponding feature vector, the clean/dirty indicator including a probabilistic value of cleanness or dirtiness of corresponding image portion; and determining whether the image is clean or dirty depending on the clean/dirty indicators produced by the first machine learning module. Systems and computer programs suitable for performing such methods are also provided.

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