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Image quality assessment of microscopy images

  • US 9,064,304 B2
  • Filed: 03/18/2013
  • Issued: 06/23/2015
  • Est. Priority Date: 03/18/2013
  • Status: Active Grant
First Claim
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1. A computer-implemented method for assessing image quality, comprising:

  • acquiring a first image and a second image, wherein at least a portion of the first image and the second image overlap;

    determining a rotation and a scale relating the first image and the second image;

    rotating and scaling a respective Fourier transform of the first image to correspond to a respective Fourier transform of the second image;

    determining a translation for the respective first image and the second image based upon the rotated and scaled Fourier transforms of the first image and the second image;

    determining a score quantifying the quality of the registration of the first image and the second image; and

    wherein determining the rotation and the scale comprises;

    Fourier transforming the first image and the second image to generate a respective first spatial frequency bin and second spatial frequency bin;

    extracting a first modulus from the first spatial frequency bin and a second modulus from the second spatial frequency bin to generate a first translation invariant signature and a second translation invariant signature;

    performing a log-polar transformation of the first translation invariant signature and the second translation invariant signature;

    in log-polar space, performing a Fourier domain correlation operation; and

    determining the rotation and the scale based on the result of the Fourier domain correlation operation.

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