摘要:
In digital holographic imaging systems, streamed holograms are compared on a pixel-by-pixel basis for defect detection after hologram generation. An automated image matching, registration and comparison method with feedback confidence allows for runtime wafer inspection, scene matching refinement, rotational wafer alignment and the registration and comparison of difference images.
摘要:
A method and system for registration system of a first and a corresponding second image are described. The method comprises the steps of converting the spatial image data into frequency domain data using, for example, a fast Fourier transform (FFT); determining a correlation map between the two images by calculating the inverse transform of the complex conjugate product of the frequency domain data of the first and the second image; and identifying a translation between the two images on the basis of the correlation map.
摘要:
A system and method for detecting differences between complex images are disclosed. The method includes acquiring a first complex image and a second complex image and determining if an aberration value difference exists between the first and second complex images. The aberration value difference is corrected by iteratively modifying the first complex image by an aberration function and comparing the modified first complex image with the second complex image in a high frequency range. The method further determines if the modified first complex image matches the second complex image by modifying the second complex image with a low frequency ratio to replace low frequency components of the second complex image with low frequency components of the first complex image. The high frequency components of the modified first complex image and the modified second complex images are then compared to determine if the first complex image matches the second complex image.
摘要:
A method and system for registration system of a first and a corresponding second image are described. The method comprises the steps of converting the spatial image data into frequency domain data using, for example, a fast Fourier transform (FFT); determining a correlation map between the two images by calculating the inverse transform of the complex conjugate product of the frequency domain data of the first and the second image; and identifying a translation between the two images on the basis of the correlation map.