Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Evaluation method for dimension measurement uncertainty based on image isosurface segmentation method

A technology of measurement results and evaluation methods, applied in measurement devices, instruments, and the use of wave/particle radiation, etc., can solve the problem of lack of uncertainty evaluation content of operation strategies, and achieve reliable evaluation results, improve accuracy, and reduce noise. the effect of interference

Active Publication Date: 2019-07-16
CHINA WEAPON SCI ACADEMY NINGBO BRANCH
View PDF9 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, these standard detection strategies completely follow the CMM detection method, and lack specific operation strategies and related uncertainty assessment content in the measurement of detection error and dimensional measurement indication error

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Evaluation method for dimension measurement uncertainty based on image isosurface segmentation method
  • Evaluation method for dimension measurement uncertainty based on image isosurface segmentation method
  • Evaluation method for dimension measurement uncertainty based on image isosurface segmentation method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0043] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0044] Such as figure 1 As shown, a method for evaluating the uncertainty of size measurement results based on the image isosurface segmentation method is characterized in that it includes the following steps:

[0045] Step 1. Manufacture a pair of identical cylindrical comparison test blocks with a fixed distance consistent with the material of the inspected workpiece by mechanical processing, and the scanned cross-sectional area of ​​the pair of cylindrical comparative test blocks is equal to the cross-sectional area of ​​the inspected workpiece; figure 2 Shown is the schematic diagram of the comparison test block;

[0046] Step 2. Use the same X-ray CT process to scan the sections of the comparison test block and the inspected workpiece respectively, and obtain the cross-sectional CT images of the comparison test block and the inspected wor...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to a evaluation method for dimension measurement uncertainty based on image isosurface segmentation method, which comprises the following steps: calculating the pixel size by thedistance between the central positions of two cylinders of the reference block and the distance between two circle centers on the cross-section CT image of the reference block; calculating the numberof pixels of the cylinder diameter on the cross-section CT image of the reference block according to the pixel size, and determining a gray segmentation threshold according to the number of pixels; then, establishing an industrial CT size measurement model; respectively calculating the standard uncertainty of the calibration length on the CT image of the reference block, the standard uncertaintyof the length of the part to be detected on the CT image of the detected workpiece and the standard uncertainty introduced by the length calibration error of the reference block; synthesizing standarduncertainty, and finally, calculating the extended uncertainty. The evaluation method for dimension measurement uncertainty based on image isosurface segmentation method has the advantages of low cost, high noise interference resistance and high accuracy, and the evaluation result is more reliable by fully considering the image noise influence and the error source influence.

Description

technical field [0001] The invention relates to the field of size measurement, in particular to a method for evaluating the uncertainty of size measurement results based on an image isosurface segmentation method. Background technique [0002] Industrial CT detection technology is a practical non-destructive detection method developed on the basis of X-ray detection technology. It has the advantages of intuitive imaging, accurate quantification, positioning and qualitative, and can be archived for review. Its application range has gradually expanded from traditional non-destructive testing to include industrial Product structure size measurement field. Compared with traditional contact or optical non-contact three-coordinate measuring equipment, the biggest advantage of CT technology is that it can non-destructively obtain the internal and external structure size information of the scanned product in one scan. It has unique advantages in non-destructive measurement. At pre...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G01B15/00
CPCG01B15/00G01B21/042
Inventor 齐子诚倪培君郑颖郭智敏左欣唐盛明付康李红伟王晓艳张维国乔日东张荣繁
Owner CHINA WEAPON SCI ACADEMY NINGBO BRANCH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products