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

Image self-correction method, device and storage device suitable for metal workpiece recognition

A technology for metal workpieces and storage devices, applied in image enhancement, image analysis, image data processing, etc., can solve the problems of recognition, reflection, and metal texture characteristics that cannot be effectively displayed, and achieve the effect of strong practicability and low cost

Active Publication Date: 2021-08-27
CHINA UNIV OF GEOSCIENCES (WUHAN)
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Metal components under too dark lighting conditions are often unable to be recognized by machine vision technology; while metal components under too bright lighting conditions, there will be reflection problems, resulting in the texture or characteristics of the metal itself cannot be effectively displayed in the image middle

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
  • Image self-correction method, device and storage device suitable for metal workpiece recognition
  • Image self-correction method, device and storage device suitable for metal workpiece recognition
  • Image self-correction method, device and storage device suitable for metal workpiece recognition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0042] In order to have a clearer understanding of the technical features, purposes and effects of the present invention, the specific implementation manners of the present invention will now be described in detail with reference to the accompanying drawings.

[0043] Embodiments of the present invention provide an image self-correction method, device and storage device suitable for metal workpiece recognition.

[0044] Please refer to figure 1 , figure 1 It is a flow chart of an image self-correction method suitable for metal workpiece recognition in an embodiment of the present invention, specifically including the following steps:

[0045] S101: Use the camera to collect the first workpiece image, and use a Gaussian filtering method to filter and denoise the workpiece image to obtain a filtered second workpiece image;

[0046] S102: Calculate the average gray level of the second workpiece image

[0047] S103: judgment condition Whether it is established; if so, go to...

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 provides an image self-calibration method, device and storage device suitable for metal workpiece identification. The method includes: using a camera to collect images of workpieces, judging the quality of the collected images, and performing image self-correction processing if unqualified. And according to the specific situation of the image quality, self-correction is divided into two ways: global correction and local correction, so as to improve the quality of the image; an image self-correction device and storage device suitable for metal workpiece recognition, used to realize metal Image self-correction method for workpiece recognition. The beneficial effects of the present invention are: the technical solution provided by the present invention can quickly self-correct the image when the image collected by the camera is unqualified, without manual intervention, low cost and strong practicability.

Description

technical field [0001] The invention relates to the field of machine vision, in particular to an image self-correction method, device and storage device suitable for metal workpiece recognition. Background technique [0002] At present, machine vision technology is widely used in all aspects of industrial sites. Usually on the assembly line, machine vision is often used to automatically detect defects or shapes of some metal workpieces. If the detected metal workpiece is located outdoors, the quality of the collected images is easily disturbed by the light intensity. Metal components under too dark lighting conditions are often unable to be recognized by machine vision technology; while metal components under too bright lighting conditions, there will be reflection problems, resulting in the texture or characteristics of the metal itself cannot be effectively displayed in the image middle. The use of image correction technology can effectively solve this problem. [0003...

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): G06T5/00G06T7/00
CPCG06T5/002G06T5/008G06T7/0002G06T2207/30164G06T2207/30168
Inventor 曹卫华谭畅陈鑫刘振焘刘勇张浩阳
Owner CHINA UNIV OF GEOSCIENCES (WUHAN)