Image analysis by object addition and recovery
First Claim
Patent Images
1. A method for quantitative analysis of image characteristics, the method comprising:
- assessing, by a processor, quality of an acquired image;
inserting, by a processor, at least one artificial object selected from a library into the acquired image to create a modified image;
assessing, by a processor, quality of the modified image;
determining, by a processor, a confidence level that all objects in the acquired image have been identified; and
quantifying, by a processor, reliability of the acquired image.
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Abstract
The invention described herein is generally directed to methods for analyzing an image. In particular, crowded field images may be analyzed for unidentified, unobserved objects based on an iterative analysis of modified images including artificial objects or removed real objects. The results can provide an estimate of the completeness of analysis of the image, an estimate of the number of objects that are unobserved in the image, and an assessment of the quality of other similar images.
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Citations
27 Claims
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1. A method for quantitative analysis of image characteristics, the method comprising:
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assessing, by a processor, quality of an acquired image; inserting, by a processor, at least one artificial object selected from a library into the acquired image to create a modified image; assessing, by a processor, quality of the modified image; determining, by a processor, a confidence level that all objects in the acquired image have been identified; and quantifying, by a processor, reliability of the acquired image. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19)
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20. A system comprising:
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a processor; and a non-transitory, processor-readable storage medium in communication with the processor, wherein the non-transitory, processor-readable storage medium comprises one or more programming instructions that, when executed, cause the processor to; assess quality of an acquired image; insert at least one artificial object selected from a library into the acquired image to create a modified image; assess quality of the modified image; determine a confidence level that all objects in the acquired image have been identified; and quantify reliability of the acquired image. - View Dependent Claims (21, 22, 23, 24, 25, 26, 27)
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Specification