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

A workpiece burr detection method based on image processing

A technology of image processing and detection method, which is applied in the detection field, can solve the problems of consuming a lot of time and slow measurement speed, and achieve the effect of improving detection accuracy, low requirements, and simple measurement system

Inactive Publication Date: 2019-01-08
UNIV OF SHANGHAI FOR SCI & TECH
View PDF4 Cites 29 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But the measurement speed is slow, especially for large workpieces, it takes a lot of time to measure

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
  • A workpiece burr detection method based on image processing
  • A workpiece burr detection method based on image processing
  • A workpiece burr detection method based on image processing

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0057] Such as figure 1 The flow chart of the workpiece burr detection method based on image processing in the present invention is shown, using LED light-emitting semiconductors as the light source to vertically irradiate the surface of the workpiece, using a CCD camera as an image detection device to continuously shoot the edge of the workpiece, and finally using a computer to collect the images taken by the camera. Then filter and segment the collected image, detect the edge of the image, and perform region growing method after the edge is fused. When the grown gray value reaches the set standard, there is no need to expand, indicating that the edge is formed. A closed glitch edge is generated. After that, the false burr is removed by determining the main axis, and finally the burr edge is extracted. Due to the reflective surface of the measured workpiece, how to choose a light source to better highlight the information of the burr, so that the burr is clear at a glance, t...

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 workpiece burr detection method based on image processing. A LED luminescent semiconductor is used as a light source to vertically irradiate that surface of the workpiece, aCCD camera is used as an image detecting device to continuously photograph that edge of a workpiece, finally, the image captured by the camera is captured by the computer, and then the image is filtered, segmented, the edge of the image is detected, and the edge is fused and processed by the region growth method, when the gray value reaches the set standard, the image does not need to expand, indicating that the edge is formed; then the spindle is determined to remove the pseudo-glitch, and finally the edge of the glitch is extracted. The guide line is obtained from the smallest circumscribedrectangle. The length of the contour, the angle difference between the contour and the reference line, the average distance, the variance and other positional relations are compared to determine whether the edge line is burr or not. The complexity of the method is not high. The measuring speed is fast. The detection accuracy is high, the requirement for the experimental environment is not high, and the measurement system is relatively simple.

Description

technical field [0001] The invention relates to a detection technology, in particular to a workpiece burr detection method based on image processing. Background technique [0002] With the development of machining technology, the burr problem in machining has become a problem that restricts the development of machinery. At present, many burr detection methods have been proposed, but the detection efficiency and industrialization degree are not satisfactory, which can no longer meet the needs of modern production. Therefore, it is of great significance to study a fast, efficient and highly automated detection method. [0003] Among the current burr detection methods, there are not only the wire-hanging method and the magnification method based on manual judgment, but also the precise measurement method based on sensors and optical microscopes. However, neither of the two types of methods can achieve large-scale detection on the production line. Among the precise measuremen...

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): G06T7/00G06T7/12G06T7/13G06T7/136
CPCG06T7/0004G06T2207/10004G06T2207/20172G06T2207/30108G06T7/12G06T7/13G06T7/136
Inventor 陈晓荣奚传立石高辉刘亚茹卫晓翔张凯凯
Owner UNIV OF SHANGHAI FOR SCI & TECH
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