A Method of Line Spread Function Extraction Based on Edge Detection Technology
A technology of line spread function and edge spread function, which is applied in the field of applied optics, can solve the problems of reducing the application range of the pulse method and the difficulty of sampling image selection, and achieve the effects of increasing practicability, improving calculation accuracy, and convenient operation
Active Publication Date: 2018-05-29
北京航科威视光电信息技术有限公司
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[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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[0022] In order to better understand the technical solutions of the present invention, the specific implementation manners of the present invention will be further described below in conjunction with the drawings and examples.
[0023] The present invention is realized under Matlab R2013a language environment. First, the computer reads in the image, uses the Canny detection operator to detect the edge of the image, fixes the size of the target area, and performs uniqueness, linearity, uniformity, and contrast detection to obtain the optimal target area; then find the effective target area in the optimal target area For pixel-level edge points, use high-order function curve fitting to obtain the position of sub-pixel-level edge points, and adjust the edge position in the optimal target area; then use cubic spline interpolation to obtain dense edges; finally, use the average edge extension function difference Computes the line spread function.
[0024] The present invention is ...
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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, or 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 the gray distribution of the...
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IPC IPC(8): G06T7/13
Inventor 袁丁强晶晶罗晓燕周子丰
Owner 北京航科威视光电信息技术有限公司