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

A deviation angle detection method of image quality meter based on gray level co-occurrence matrix

A technology of gray co-occurrence matrix and angle detection, which is applied in computing, image enhancement, image analysis and other directions to achieve the effect of improving computing speed and accuracy

Inactive Publication Date: 2019-02-01
苏州宏凡信息科技有限公司 +1
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to provide a detection method for the deviation angle of the image quality meter based on the gray level co-occurrence matrix, which can accurately obtain the actual deviation angle of the image quality meter, and apply the real angle Scanning can accurately obtain the actual position of the image quality meter, avoiding the problems of poor accuracy and easy misjudgment in the previous vertical scanning, thereby improving the efficiency of digital recognition of the entire radiographic film

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
  • A deviation angle detection method of image quality meter based on gray level co-occurrence matrix
  • A deviation angle detection method of image quality meter based on gray level co-occurrence matrix
  • A deviation angle detection method of image quality meter based on gray level co-occurrence matrix

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] see figure 2 , the present invention a kind of image quality meter deviation angle detection method based on gray level co-occurrence matrix, comprises the following steps:

[0037] S1. First of all, it is necessary to obtain digital weld radiographs, and convert the films taken by radiographs into digital negatives;

[0038] The present invention uses the JD-RTD200 digital film scanner of Xi'an Jiaotong University, which can quickly convert radiographic films into digital pictures in batches;

[0039] S2. When obtaining the radiographic image of the weld seam, it is preprocessed first, because the image quality meter spans the weld seam area, so the image is first segmented, and the weld seam area is selected for processing to reduce the calculation time;

[0040] Bezier fitting and Medial Axis Transformation (MAT) are used for weld extraction to obtain a smooth and continuous weld boundary, so that a weld image containing complete information about the weld without ...

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 discloses a deviation angle detection method of an image quality meter based on a gray level co-occurrence matrix, which obtains a digitized weld seam radiographic film, and then converts the radiographic film into a digitized film. Pretreatment of the obtained digital weld seam film; Calculating the gray level co-occurrence matrix of the weld radiographic image; Draw the map of thecorrelation eigenvalue of each angle changing with the angle; Find out the angle of maximum correlation eigenvalue; The deviation angle of the image quality meter is determined according to the anglecorresponding to the point with the maximum correlation eigenvalue. The invention can quickly and accurately calculate the deviation angle of the image quality meter in an image, and can also be applied to the calculation of other straight line angles in an image.

Description

technical field [0001] The invention belongs to the technical field of non-destructive testing image processing, and in particular relates to a method for detecting deviation angle of an image quality meter based on a gray scale co-occurrence matrix. Background technique [0002] Non-destructive testing of welds is widely used in the testing of welding parameters of parts, materials and equipment because it does not have a destructive effect on the welding area. Among them, the radiography flaw detection method is currently the most widely used inspection method in industrial production. It has the advantages of intuition, reliability, high sensitivity and resolution, and the type, position and size of workpiece defects can be determined by using the results of radiographic detection, so as to judge whether the workpiece is qualified. [0003] When the ray passes through the welding area, the ray absorption ability of the defective area is different, and the quality of the ...

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): G06T7/00G06T7/136
CPCG06T7/0004G06T7/136G06T2207/30164
Inventor 昌亚胜汪军
Owner 苏州宏凡信息科技有限公司
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