Edge detection technology based line diffusion function extracting method

Abstract

The invention discloses an edge detection technology based line diffusion function extracting method and belongs to the technical field of applied optics.The method comprises the steps that an optimal target area is extracted from an input image; the position of an effective pixel-level edge point in the extracted optimal target area is found, and high-order function curve fitting is performed to obtain the position of a sub-pixel edge point; the obtained position of the sub-pixel edge point is adjusted; cubic spline interpolation is conducted on the optimal target area to obtain a dense edge; a line diffusion function is extracted based on an edge expanding function.The edge detection technology based line diffusion function extracting method has no any constraint to the quality of the input image, any preprocessing operation is not performed, selection of a sampled image is very simple and convenient, the image selecting difficulty is effectively reduced, the practicability is improved, and the application range of the edge detection technology based line diffusion function extracting method is widened to the great degree.Any manual operation is not needed for target area obtaining, application is easy, operation is convenient, and the practicability of the method is improved.

Description

technical field [0001] The invention relates to a method for extracting a line spread function based on edge detection technology, without any restriction on the form of an input image, and belongs to the field of applied optics technology. Background technique [0002] MTF, Modulation Transfer Function (Modulation Transfer Function), is a comprehensive evaluation index of optical system imaging quality. Using modulation transfer function to evaluate image quality is more comprehensive, rich and accurate than using general grayscale methods. MTF expresses the property of an optical system to redistribute light energy. There are many theories and methods for calculating MTF, such as point pulse method, sinusoidal input method, pulse method and knife edge method. The latter two are more common and more effective. [0003] The pulse method mainly extracts the pulse image from the pulse texture similar to the line light source, fits the line spread function (LSF) according to ...

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Problems solved by technology

[0005] The difference between the pulse method and the knife-edge method lies in the extraction of the line spread function (LSF): the pulse method has high requirements on the quality of the sampled image. Although the accuracy of the MTF is high, the selection of the sampled image is very difficult, which greatly reduces the quality of the pulse method. scope of application

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