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

Image processing method and system based on machine vision

A technology of machine vision and image processing, applied in the field of image processing, can solve the problems of slow image processing speed, complex image calculation, and failure to obtain feature regions, etc., to save time for comparing image features, improve work efficiency, and improve image processing efficiency effect

Pending Publication Date: 2020-06-05
NAVAL AVIATION UNIV
View PDF4 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] At present, when machine vision processes images, it needs to process the entire image, and no effective feature area can be obtained; in addition, machine vision processing image calculations is complex and image processing speed is slow

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 processing method and system based on machine vision
  • Image processing method and system based on machine vision
  • Image processing method and system based on machine vision

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0056] Specific embodiments of the present invention are described below in conjunction with the contents of the accompanying drawings. It should be noted that the present invention omits descriptions of known components and processing techniques and processes to avoid unnecessarily limiting the present invention.

[0057] An embodiment of the present invention provides an image processing method based on machine vision. figure 1 A flow chart of image processing according to an embodiment of the present invention is shown. see figure 1 , the method at least includes the following steps.

[0058] get RGB image

[0059] The method for obtaining RGB images in the present invention is to use the camera in machine vision to move according to the position of the detected product, and take static or tracking photos to obtain RGB images; cameras are not limited to RGB-D cameras, CCD cameras, CMOS industrial cameras, etc. Common types of cameras on the market; in order to take bet...

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 discloses an image processing method and system based on machine vision, and relates to the technical field of image processing. The method comprises the following steps: acquiring an RGB image; carrying out gray processing on the obtained RGB image; removing the background and extracting an R-B difference grayscale image as a target image; processing pixel points in the target imageto obtain an image detection area: extracting a reference image of the target image by using a deep neural network in machine vision, and processing the sub-target image and the reference image in the detection area to obtain a binary image of the sub-target image and the reference image; and calculating a binary image of the reference image and a binary image of the sub-target image by utilizinga deep neural network in machine vision to carry out difference operation, obtaining a defect value, and carrying out image defect judgment. By means of the technology, the image processing efficiency of machine vision is effectively improved, and the time of research and development personnel is saved.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an image defect detection method based on machine vision. Background technique [0002] Machine vision inspection refers to the technology of shooting an object through a camera, and then processing the captured image to detect the characteristics of the object, and then obtain the quality of the object. [0003] Machine vision inspection is more and more widely used, mainly in dimension measurement and appearance defect detection. Among them, appearance defect detection plays a decisive role in improving the quality of the entire product. [0004] At present, when machine vision processes images, it needs to process the entire image, and no effective feature area can be obtained; in addition, machine vision processing image calculations is complex, and the image processing speed is relatively slow. Contents of the invention [0005] In order to solve the above probl...

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): G06T7/00G06T7/11G06T7/13G06T7/90G06T5/00G06T3/60G06N3/04
CPCG06T7/90G06T7/11G06T7/0002G06T7/13G06T3/60G06N3/045G06T5/70
Inventor 张龙杰谢晓方李相民孙涛王永生陈青华王诚成姚刚顾佼佼牟俊杰
Owner NAVAL AVIATION 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