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
CN105844593AInactive Publication Date: 2016-08-10HARBIN UNIV OF SCI & TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
HARBIN UNIV OF SCI & TECH
Publication Date
2016-08-10
Estimated Expiration
Not applicable · inactive patent

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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.
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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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