Image quality assessment of microscopy images
First Claim
Patent Images
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.
3 Assignments
0 Petitions
Accused Products
Abstract
Automated assessment of registration quality, focus, and area defects in sequentially acquired images, such as images acquired by a digital microscope, is disclosed. In one embodiment, acquired images are registered and whole-image defects are automatically detected based on a figure of merit generated by the registration process. In related implementations, area defects may be automatically detected by calculating correlations in localized image regions for images acquired in different imaging rounds.
-
Citations
11 Claims
-
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. - View Dependent Claims (2, 3, 4, 5, 6, 7)
-
-
8. An image analysis system, comprising:
-
a memory storing one or more routines; and a processing component configured to execute the one or more routines stored in the memory, wherein the one or more routines, when executed by the processing component, cause acts to be performed comprising; acquiring or accessing 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; and 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. - View Dependent Claims (9, 10, 11)
-
Specification