Extended target wavefront detection method based on edge enhancement

Abstract

The invention relates to an extended target wavefront detection method based on edge enhancement. The method comprises the following steps: S1, acquiring an extended target image to be detected; S2, performing edge enhancement on each to-be-detected extended target image by using an edge enhancement operator; S3, calculating a correlation matrix of each image obtained in the S2 and the template image; S4, finding out the maximum value of each relevancy matrix, and calculating the relative position offset of the to-be-detected extended target image and the template image; S5, multiplying the relative position offset vector by the aberration mode coefficient reconstruction matrix to obtain a wavefront aberration mode coefficient, and completing wavefront measurement. According to the invention, after edge enhancement is carried out on the image obtained by the subaperture of the Hartmann wavefront sensor by using the edge enhancement operator, the accuracy of the correlation matrix calculated by substituting the image into the correlation function can be greatly improved under the condition of low contrast, so the calculation accuracy of the relative displacement between the image obtained by the subaperture and the template image is improved; and finally, the reconstruction precision of the wavefront aberration coefficient is obviously improved.

Description

technical field [0001] The invention relates to the technical field of optical measurement, in particular to an edge enhancement-based extended target wavefront detection method. Background technique [0002] The main function of the extended target wavefront detection method is to detect the wavefront aberration information in the optical path in the optical system that needs to image the extended target. In a system for such aberration wavefront detection, the Hartmann wavefront sensor is generally used to image the target molecular aperture, and then a correlation algorithm is used to calculate the correlation matrix between each subaperture image and the template image, and then through interpolation The algorithm obtains the relative position offset information between each sub-aperture image and the template image, and finally uses the relative position offset information vector and the mode reconstruction matrix to calculate and obtain the wavefront aberration slope i...

AI Technical Summary

Problems solved by technology

[0004] However, for scenes with low image contrast and clarity, the accuracy of the correlation matrix calculated by directly bringing the sub-aperture original image or the image after filtering and removing noise into the correlation function is low, which makes the wavefront detection system unable to accurately realize the wavefront Measurement of frontal aberrations

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