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Automated processing method for single interference round fringe pre-processing

A processing method and interference fringe technology, applied in image data processing, instruments, calculations, etc., can solve the problems of long measurement time, inability to automate processing, and low measurement accuracy, and achieve the effect of improving accuracy and extracting image information quickly and conveniently

Inactive Publication Date: 2016-08-10
HARBIN UNIV OF SCI & TECH
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  • Abstract
  • Description
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Problems solved by technology

[0004] The purpose of the present invention is to solve the problems of the existing optical interferometry technology, such as long measurement time, low measurement accuracy, and inability to automate processing when extracting interference fringe feature information, and propose a single-frame interference circular fringe preprocessing method automated processing method

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  • Automated processing method for single interference round fringe pre-processing
  • Automated processing method for single interference round fringe pre-processing
  • Automated processing method for single interference round fringe pre-processing

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specific Embodiment approach 1

[0027] Specific implementation mode 1. Combination figure 1 Illustrate this specific embodiment, a kind of automatic processing method of single interference circular fringe preprocessing, it comprises the following steps:

[0028] Step 1, performing denoising processing on a single interference circular fringe image;

[0029] Step 2, performing binarization processing on the denoised image of the interference circular fringes obtained in step 1;

[0030] Step 3, perform LW thinning algorithm thinning processing according to the image obtained in step 2 after the binarization of the interference circular fringes;

[0031] Step 4: Perform patching processing according to the thinned image of the interference circular fringes obtained in Step 3.

specific Embodiment approach 2

[0032] Specific embodiment two, combine figure 2 Describe this specific embodiment, the difference between this specific embodiment and the automatic processing method for single interference circular fringe preprocessing described in specific embodiment 1 is that the single interference circular fringe image described in step 1 is removed Noise processing is achieved by the following steps:

[0033] Step one one, improve the P-M model in the existing partial differential equation;

[0034] In 1990, Perona and Malik proposed an anisotropic diffusion model that better protects edge details while achieving denoising effects, that is, the P-M model:

[0035] in, is the initial image, is the divergence function, is the image gradient, is the image gradient modulus, is the scale parameter. The ideal diffusion coefficient should implement weak diffusion at the edge of the image to maintain the details of the image edge, and achieve fast smoothing in the gently changi...

specific Embodiment approach 3

[0064] Specific embodiment three, combine image 3 Describe this specific embodiment, the difference between this specific embodiment and the automatic processing method of a single interference circular fringe preprocessing described in the specific embodiment one is that the interference circular fringe obtained in step 3 described in step 4 Thinning the image for inpainting is achieved by the following steps:

[0065] Step 41. For the interference fringe thinning image obtained in step 4, add a removal template to repair the burrs;

[0066] For the interference fringe thinning image obtained in step 3, deburring and repairing is carried out by adding the removal formula. The removal formula is as follows:

[0067]

[0068]

[0069] Step 42. Adding a removal template to the burr-removed circular interference fringe thinned image obtained in step 41 to perform two-pixel repairing;

[0070] For the interference fringe thinning image obtained in step 41, the two-pixel r...

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Abstract

The invention is directed to the interference image pre-processing, and provides an automated processing method for single interference round fringe pre-processing through an improved denoising method, a binarization algorithm, and a refining and patching algorithm. The invention introduces a diffusion coefficient to a P-M model to modify a median filtering window, and then combining the above two by means of weighting to form the denoising method which can protect image edges and details. The refining and patching algorithm adopted in the invention can not only remove the glitch, but also remove excess second pixels while ensuring the image connectivity, so that the image can be refined into a single pixel image. The invention has a great significance for feature information extraction of the single interference round fringe, and can provide a reliable analysis method for application of optical measurement technology based on single interference round fringe analysis.

Description

technical field [0001] The invention relates to the technical field of optical interference precision detection, in particular to an automatic image preprocessing method for interferometric measurement based on a single interference circular fringe. Background technique [0002] Optical interference detection technology is widely used in optical surface detection, vibration analysis, spatial interference detection in astronomical optics, thin film thickness and refractive index measurement, etc. The most important part of all optical interferometry is the analysis of fringe data. Currently, fringe analysis techniques mainly include three categories: intensity-based analysis, transformation-based analysis, and phase-based analysis. The transform-based analysis technique transforms the interferogram into other domains for analysis through Fourier transform or wavelet transform. The intensity-based analysis technology directly processes the grayscale image, which has a fast p...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
CPCG06T2207/20032G06T5/77G06T5/70
Inventor 于雪莲马文书赵文彬王伟佳周坤张嘉成唐晓慧滕飞
Owner HARBIN UNIV OF SCI & TECH
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