Glass defect type identification system

A technology for type recognition and glass defects, applied in image data processing, instruments, calculations, etc.

Inactive Publication Date: 2015-12-23
袁芬
View PDF4 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to solve the technical problems existing in the prior art, the present invention provides a glass defect type identification system, which uses the image segmentation threshold obtained in the adaptive threshold selection mode to separate the glass from the image background, and uses a combination of median filtering and mean filtering In order to maintain image details while removing Gaussian noise, more importantly, select the circularity and elongation of the defect target as the benchmark for defect type determination, so as to identify various glass defect types more effectively

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
  • Glass defect type identification system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0014] Embodiments of the glass defect type identification system of the present invention will be described in detail below with reference to the accompanying drawings.

[0015] Glass is one of the important materials in the industrial and civil fields, and whether it has defects directly determines the quality of construction. For glass manufacturers, how to detect glass defects in time and determine the type of glass defects is very important.

[0016] In the prior art, the detection of glass defect types lacks pertinence, especially for solutions using image detection technology, there are generally problems with segmentation threshold, filtering technology and defect feature selection, which seriously affect the recognition effect.

[0017] In order to overcome the above deficiencies, the present invention builds a glass defect type recognition system, aiming at the image characteristics of glass and glass defects, it selects the appropriate segmentation threshold, filter...

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 glass defect type identification system, which comprising a glass accommodating platform, an image acquisition device, a defective image detection device and an embedded processing device. The glass accommodating platform is used for placing an entire to-be-detected piece of glass. The image acquisition device is used for acquiring the glass images of the entire to-be-detected piece of glass. The defective image detection device is used for determining a defective image out of the glass image. The embedded processing device and the defective image detection device are connected. Based on the defective image, the defect type of the glass can be determined. By adopting the above system, different defect detection parameters are determined for different glass types, so that the identification accuracy of glass defects can be improved.

Description

technical field [0001] The invention relates to the field of glass inspection, in particular to a glass defect type identification system. Background technique [0002] The existing glass defect type recognition technology has the following defects: (1) Improper threshold selection in the glass recognition mode based on image segmentation affects the recognition effect of subsequent defect types; (2) It is difficult to choose image filtering technology, and generally a single filtering technology is Various image disturbances cannot be filtered out; (3) The characteristics of glass defects cannot be determined, making it difficult to identify the type of glass defects. [0003] Therefore, the present invention proposes a glass defect type recognition system, which can select an appropriate image segmentation threshold, effectively separate the glass in the image from the background, remove various image disturbances, and determine the best glass defect features to Identify ...

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): G06T7/00
CPCG06T7/0004G06T2207/10004
Inventor 袁芬
Owner 袁芬
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