Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Hot-rolled steel plate surface defect image identification method based on neighborhood information estimation

A technology of neighborhood information and hot-rolled steel plates, which is applied in the direction of optical testing of defects/defects, can solve the problems of lower recognition rate stability, non-concentration, and lower recognition rate, so as to solve the change of defect characteristics and resist the influence of noise interference Effect

Active Publication Date: 2015-06-17
NORTHEASTERN UNIV LIAONING
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

That is, the characteristics of the same type of defects are too scattered and not concentrated; while there is a clear overlap between the characteristics of different types of defects, and the degree of feature differentiation is not high;
[0005] (2) Due to the influence of lighting and material changes, the defect characteristics will change greatly, and the stability will decrease, resulting in a decrease in the recognition rate;
[0006] (3) Most of the current defect features are susceptible to noise interference, thus reducing the stability of the recognition rate

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
  • Hot-rolled steel plate surface defect image identification method based on neighborhood information estimation
  • Hot-rolled steel plate surface defect image identification method based on neighborhood information estimation
  • Hot-rolled steel plate surface defect image identification method based on neighborhood information estimation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] An embodiment of the present invention will be further described below in conjunction with the accompanying drawings.

[0037] An image recognition method for surface defects of hot-rolled steel sheets based on neighborhood information evaluation, such as figure 1 shown, including the following steps:

[0038] Step 1. Use a linear array industrial CCD camera to collect the surface image of the steel plate;

[0039] Step 2, using the image grayscale projection method to detect the collected steel plate surface image to determine whether it is a defect image, if so, perform step 3, otherwise delete the image;

[0040] The image grayscale projection method is often used in practical applications. This method is simple and fast, and is more effective for line defects, especially when the line defects are in horizontal or vertical positions. The main principle of this method is: project the pixel gray value of the image along the X direction and the Y direction respectivel...

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

PropertyMeasurementUnit
greyscaleaaaaaaaaaa
greyscaleaaaaaaaaaa
Login to View More

Abstract

The invention discloses a hot-rolled steel plate surface defect image identification method based on neighborhood information estimation, and belongs to the field of mode identification and machine vision. A local binary pattern catachrestic extraction method is introduced into characteristic extraction of steel plate surface defect images. Characteristics extracted by the method have the advantage that characteristics of defects of the same type are concentrated, and the distinguishing degree of different types of defect characteristics is higher. A neighborhood information estimation window is introduced into the local binary pattern catachrestic extraction, so that the noise interference influence on the characteristics can be effectively resisted. The neighborhood information estimation window is introduced into the local binary pattern catachrestic extraction, so that a phenomenon that the defect characteristics are changed by change influence of lighting and materials is effectively avoided.

Description

technical field [0001] The invention belongs to the field of pattern recognition and machine vision, and in particular relates to an image recognition method for hot-rolled steel plate surface defects based on neighborhood information evaluation. Background technique [0002] Hot-rolled steel plate is one of the main products of the steel industry, and its product quality will directly affect the quality and performance of the final product in many cases. With the increasingly fierce market competition, the product quality of steel plates has become one of the key indicators of domestic and foreign steel market competition, and its quality is directly related to the economic benefits, survival and development of steel enterprises. Due to the limitation of production conditions, there will inevitably be different forms and types of defects on the surface of the steel plate, and the size, number and distribution of defects vary greatly. Defects of different natures, such as i...

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): G01N21/88
Inventor 宋克臣颜云辉李骏尹艳山
Owner NORTHEASTERN UNIV LIAONING
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
Eureka Blog
Learn More
PatSnap group products