Manufacturing method of visual inspection defect library for practical training

A technology of visual inspection and production method, which is applied in the field of visual inspection, can solve the problems that students do not understand the shooting images, and achieve the effect of strong versatility

Pending Publication Date: 2019-11-15
JIANGSU HUIBO ROBOTICS TECH CO LTD
View PDF2 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, the current visual inspection software is well-configured, and stud...

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
  • Manufacturing method of visual inspection defect library for practical training
  • Manufacturing method of visual inspection defect library for practical training

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029] The present invention is described further now.

[0030] A method for making a visual inspection defect library for practical training includes the following steps:

[0031] S1. Take pictures of defective workpieces to obtain defect images, and adjust the exposure time of the camera when taking pictures so that the camera can take clear images and save them;

[0032] S2. Optimizing the fft speed according to the size of the specified image;

[0033] S3. Construct a Gaussian filter GaussFilter, and process the defect image through the Gaussian filter to obtain a Gaussian image. The parameters of the Gaussian filter include the standard deviation of Gaussian in the main direction, the standard deviation of Gaussian in the main direction orthogonal to the main direction, and the filter The angle of the main direction, the position of the DC term in the frequency domain;

[0034] S4, taking the gray value, and subtracting the gray value of the defect image and the Gaussia...

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 visual inspection, in particular to a manufacturing method of a visual inspection defect library for practical training. The manufacturing method comprises the following steps: S1, photographing to obtain a defect image; S2, performing fft speed optimization; S3, processing the defect image through a Gaussian filter to obtain a Gaussian image; S4, taking a gray value; S5,performing iterative operation on the difference image; S6, performing fast Fourier transform on the image after the iterative operation; S7, performing inverse transformation on the picture after Fourier transformation; S8, performing threshold segmentation on the transformed image, and taking an extreme value to obtain segmented regions; S9, communicating regions, and selecting regions accordingto specified morphological characteristics; and S10, drawing a circle at the defect part of the area, and calculating the central position of the area. According to the manufacturing method of the visual inspection defect library for practical training provided by the invention, the defect library can be conveniently established for the defects of the workpiece, the universality is high, and practical training personnel can know the specific process.

Description

technical field [0001] The invention relates to a visual detection, in particular to a method for making a visual detection defect library for practical training. Background technique [0002] Defect detection technology has always been a typical representative of the machine vision industry. It can replace human eyes to classify qualified and unqualified products, thus greatly reducing labor costs. At present, the artificial intelligence industry is gaining momentum, and the explosion of the machine vision industry is also a natural trend. [0003] At present, training for the education industry is also in full swing. Establishing an assessment system for education and training can enable more students to master artificial intelligence and machine vision technology. [0004] However, the current visual inspection software is well-configured, and students do not understand the process of taking images and processing them to obtain results. Contents of the invention [0...

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): G06T7/00G06T7/136G06T7/155G06T7/168
CPCG06T7/0008G06T7/136G06T7/168G06T7/155G06T2207/20056G06T2207/30164
Inventor 崔晓辉许辉黄婷
Owner JIANGSU HUIBO ROBOTICS TECH 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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap