Computer vision detection method for weld contour features based on discrete sequence points

A computer vision, discrete sequence technology, applied in measurement devices, instruments, and optical devices, etc., can solve problems such as being susceptible to noise, misdetecting straight lines, and not considering overall information.

Active Publication Date: 2021-09-07
SICHUAN AEROSPACE LONG MARCH EQUIP MFG CO LTD
View PDF16 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this type of method only uses the global statistical characteristics of the image to detect straight lines, and does not consider the overall informati

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
  • Computer vision detection method for weld contour features based on discrete sequence points
  • Computer vision detection method for weld contour features based on discrete sequence points
  • Computer vision detection method for weld contour features based on discrete sequence points

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] Discrete sequence points are widely used in the description of weld contour features, these sequence points contain the contour information of the weld, but only by sorting out the relative geometric position relationship between each point, it is possible to quantitatively describe the weld seam features. The straight line is a common form in the weld profile, and the efficient and accurate fitting of the line feature through offline sequence points is a common problem faced in the weld profile detection, and it is also a difficult problem that the present invention focuses on solving.

[0024] The invention proposes a method for detecting weld seam contour features. This method takes the discrete sequence points containing weld contour information as input, maps the relevant discrete points to pixels on the grayscale bitmap, constructs straight lines on the bitmap through computer vision algorithms, and calculates the geometric relationship between the related straight...

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 computer vision detection method for weld contour features based on discrete sequence points. The method comprises the steps of 1 constructing a {XOZ} coordinate system according to the difference of the minimum resolutions of the sequence points in two mutually orthogonal directions; 2 constructing a bitmap capable of covering the whole discrete sequence points by taking the minimum resolution basic unit in the X direction as the sampling step length of the pixel points; 3 constructing a gray bitmap through coordinate values of the discrete sequence points in the {XOZ} coordinate system; 4 performing linear feature extraction on the constructed gray bitmap by using an LSD method in a computer vision algorithm, and obtaining related linear features at the upper edge and the lower edge of the contour; and 5 inversely calculating the real geometric information of the contour through the pixel coordinates of the obtained straight line to realize the quantitative description of the contour features of the weld. Compared with the prior art, the method has the positive effects that 1) the calculation efficiency is high; 2) the detection precision is controllable; and 3) the application range is wide.

Description

technical field [0001] The invention relates to a computer vision inspection method, in particular to a computer vision inspection method based on discrete sequence point description and oriented to weld contour features. Background technique [0002] Weld contour detection technology has a wide range of applications in welding engineering. The obtained contour information is the technical basis for application scenarios such as weld groove detection, automatic welding seam tracking, and welding assembly quality inspection, and is also an important embodiment of welding automation capabilities. Such as figure 1 As shown, wherein, the reference signs include: weld gap 1, weld step difference 2, weld centering 3, weld leakage groove 4, left base material 5, right base material 6; take butt weld as an example , the weld profile generally includes elements such as weld gap, weld step difference, and weld centering. The essence of weld profile detection is to abstract the geomet...

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): G01B11/24
CPCG01B11/24
Inventor 石璟陈勇卢启强张虎
Owner SICHUAN AEROSPACE LONG MARCH EQUIP MFG CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products