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

Method and equipment for spot detection on the surface of ceramic products based on machine vision

A technology for surface spots and detection methods, applied in the field of image processing, can solve the problems of high cost and difficulty in surface spot detection, and achieve the effects of simple and convenient calculation methods, accurate results, and short detection time.

Active Publication Date: 2022-04-19
YANSHAN UNIV
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a method for spot detection on the surface of ceramic products based on machine vision to solve the problem of high cost and difficulty in the detection of spot spots on the surface of existing ceramic products

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
  • Method and equipment for spot detection on the surface of ceramic products based on machine vision
  • Method and equipment for spot detection on the surface of ceramic products based on machine vision
  • Method and equipment for spot detection on the surface of ceramic products based on machine vision

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0069] Hereinafter, embodiments of the present invention will be described with reference to the drawings.

[0070] The invention provides a method for detecting spots on the surface of ceramic products. The whole process of the detection method is as follows: figure 1 As shown, the schematic diagram of the detection equipment is shown in figure 2 shown.

[0071] The spot detection method on the surface of ceramic products specifically comprises the following steps:

[0072] S1. Use testing equipment to take pictures of ceramic products under different light sources, obtain image information under white, red and yellow light sources and preprocess the images, and obtain pictures under white light source, pictures under red light source and pictures under yellow light source;

[0073] S2. Identify candidate initial points on the edge of the spot, specifically including the following sub-steps:

[0074] S21. Determine the candidate initial points associated with the edge strip...

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 present invention provides a method for spot detection on the surface of ceramic products based on machine vision, step S1, obtaining image information under different light sources and preprocessing the image; step S2, identifying candidate initial points on the edge of the spot; step S3, passing the edge detection model Determine the rough edge point and edge color; step S4, detect the edge of the sub-pixel surface spot based on the arctangent function, S5, judge the diameter of the black spot, the diameter of the red spot and the diameter of the yellow spot obtained in step S4. This method identifies the thick edges of the three-color spots according to the brightness difference of the three-color spots of ceramic products under three lighting environments, and uses the arctangent function sub-pixel fitting method to identify the edge of the spots and determine the diameter of the spots, which has the advantages of short detection time and accurate results. Superiority, to meet the actual detection needs.

Description

technical field [0001] The invention relates to image processing technology, in particular to a method and equipment for spot detection on the surface of ceramic products based on machine vision. Background technique [0002] With the increasing automation of the manufacturing industry and the increasingly stringent requirements of modern manufacturing on product surface appearance, size, and performance, the traditional manual naked eye inspection to achieve quality process control during product production has been unable to meet today's enterprises. High-precision, real-time automatic production requirements, therefore, how to realize fast, efficient, high-precision, real-time online surface spot monitoring method has gradually become a difficult problem for modern production enterprises. Especially in the detection of spots on the surface of ceramic products in the field of ceramic production. [0003] Different production processes and impurities in the production proc...

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): G06T7/00G06T7/13G06T7/136G01N21/88
CPCG06T7/0004G06T7/13G06T7/136G01N21/8851G06T2207/10024G06T2207/30108G01N2021/8887
Inventor 张立国马子荐金梅李义辉杨曼李媛媛
Owner YANSHAN UNIV
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