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

Retinal-perception-based sand ball detection method on abrasive paper surface under complex working conditions

A technology of complex working conditions and detection methods, which is applied in the direction of measuring devices, material analysis through optical means, instruments, etc., to achieve high stability, accurate detection, and high degree of automation

Inactive Publication Date: 2020-02-18
郑州智利信信息技术有限公司
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0011] The technical problem to be solved by the present invention is: by establishing a reflection model to simulate the retinal perception characteristics of the human eye, to provide a method for detecting sand clusters on the surface of sandpaper with complex textures, and to improve the robustness and accuracy of the system

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
  • Retinal-perception-based sand ball detection method on abrasive paper surface under complex working conditions
  • Retinal-perception-based sand ball detection method on abrasive paper surface under complex working conditions
  • Retinal-perception-based sand ball detection method on abrasive paper surface under complex working conditions

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0056] The method for detecting sand clusters on the surface of sandpaper under complex textures comprises the following steps:

[0057] Step 1. Make the black-and-white line array camera face the surface of the sandpaper to be detected. The surface of the sandpaper to be detected is within the field of view of the black-and-white line array camera. Take pictures with the black-and-white line array camera under the strip light source, and capture a frame of grayscale on the surface of the sandpaper to be detected Image G(x,y), such as figure 1 As shown, (x, y) is the position of the pixel in the grayscale image;

[0058] Since the sandpaper width specifications are generally 1400mm, 1600mm, and 1800mm, and it runs at a uniform speed in a belt shape on the rolling machine, the surface of the sandpaper is mainly composed of silicon carbide and resin, and generally appears dark black. There is not enough light inside the rolling machine, and the environment is relatively dark, s...

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 retinal-perception-based sand ball detection method on the abrasive paper surface under complex working conditions. According to the method, a gray level image, captured bya black-white linear array camera, of the surface of abrasive paper is processed under a common strip-shaped light source; the image is filtered by using an auto-quotient filtering method and a phenomenon of uneven illumination caused by stroboflash of the light source and vibration of the abrasive paper is eliminated; rhombic structure elements are designed to carry out morphological filtering onthe image so as to suppress irregular textures of the image and enhance the contrast of the sand ball and a background; thresholding the image, distinguishing the sand ball defect with other non-quasi-circular defects such as creases and scratches based on an empirical formula, detecting quasi-circular sand ball defects, performing quantitative analysis on the sand ball defects to obtain the areas of the sand balls, and determining whether sand ball defects affect the quality of the abrasive paper based on the sizes of the sand ball defects. According to the method, no manual parameter designis needed; the automation degree is high; detection is accurate; and system robustness is good.

Description

[0001] (1) Technical field: [0002] The invention relates to a retinal perception-based computer vision detection method, in particular to a retinal perception-based method for detecting sand clusters on the surface of sandpaper under complex working conditions [0003] (two), background technology: [0004] Sandpaper is an abrasive tool that bonds abrasives (abrasive grains) to a paper substrate through adhesives such as glue or resin. It is a grinding tool often used in industrial production and is widely used in automobile manufacturing and heavy machinery manufacturing. , shipbuilding and other mechanical processing fields and furniture production, with the development of my country's manufacturing industry, the demand for sandpaper is also increasing. Sandpaper will produce many defects in the production process, and sand cluster is one of the defects. Using defective sandpaper will scratch the surface of parts, reduce the surface roughness of parts, affect the surface acc...

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 Applications(China)
IPC IPC(8): G01N21/956
CPCG01N21/95623
Inventor 衡伟龙陈世泽
Owner 郑州智利信信息技术有限公司
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com