Unlock instant, AI-driven research and patent intelligence for your innovation.

Surface defect detection method and equipment based on feature fusion

A defect detection and feature fusion technology, applied in the field of image processing, can solve problems such as missed detection, false detection, and inability to reflect product shape information, and achieve the effects of improving efficiency, reducing data processing, and enhancing feature representation capabilities

Active Publication Date: 2022-08-09
SHENZHEN HUAHAN WEIYE TECH
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although two-dimensional image data can reflect the texture information of the product surface, it cannot reflect the shape information of the product, which leads to problems such as missed detection and false detection in the detection of surface defects.

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
  • Surface defect detection method and equipment based on feature fusion
  • Surface defect detection method and equipment based on feature fusion
  • Surface defect detection method and equipment based on feature fusion

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0056]The present invention will be further described in detail below through specific embodiments in conjunction with the accompanying drawings. Wherein similar elements in different embodiments have used associated similar element numbers. In the following embodiments, many details are described so that the present application can be better understood. However, those skilled in the art will readily recognize that some of the features may be omitted under different circumstances, or may be replaced by other elements, materials, and methods. In some cases, some operations related to the present application are not shown or described in the specification, in order to avoid the core part of the present application from being overwhelmed by excessive description, and for those skilled in the art, these are described in detail. The relevant operations are not necessary, and they can fully understand the relevant operations according to the descriptions in the specification and ge...

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

Examples of the present invention provide a surface defect detection method and equipment based on characteristic fusion. This method includes: two -dimensional image data of the target object, the two -dimensional image data includes gray information, which reflects the texture information of the target object surface;Get the three -dimensional image data of the target object. The three -dimensional image data includes high information to reflect the appearance information on the surface of the target object; use the first feature to extract the texture information in the two -dimensional image data to obtain the first feature diagram; use the first characteristic diagram;The two special signs extracted the appearance information in the three -dimensional image data to obtain the second feature map; the first feature diagram and the second feature diagram are stitched to obtain the fusion feature diagram;Deficiency characteristics of objects.Through the integration of the characteristic level, the texture and appearance information of the target object surface are fully used to divide the texture and appearance information, which helps improve the accuracy of surface defect detection.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of image processing, and in particular, to a method and device for detecting surface defects based on feature fusion. Background technique [0002] Surface defects refer to defects such as spots, depressions, scratches, cracks, defects, etc. that exist on the surface of the product, which not only affect the appearance of the product, but also affect the quality and performance of the product, so the detection of surface defects is of great significance. It has been widely used in industrial production, such as welding seam inspection, wafer inspection, etc. [0003] In the early stage, visual inspection was often used to detect surface defects. The inspectors used magnifying glasses, vernier calipers, undercut measuring instruments and other inspection tools, combined with product inspection standards and their own professional knowledge and inspection experience, to judge the quality ...

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
Patent Type & Authority Patents(China)
IPC IPC(8): G06V20/20G06V20/64G06V10/26G06V10/54G06V10/77G06V10/774G06V10/80G06V10/82G06K9/62G06N3/08
CPCG06N3/084G06F18/213G06F18/253G06F18/214Y02P90/30
Inventor 祝树杰李杰明杨洋翟爱亭黄淦
Owner SHENZHEN HUAHAN WEIYE TECH