Circular saw web wear extent online measuring method

A measuring method and technology for circular saw blades, applied in the field of image processing, can solve the problems of inability to accurately locate different circular saw blade tip points, inability to apply, and misjudgment of non-tool tip points as tool tip points, etc.

Active Publication Date: 2015-12-23
CETC NINGBO MARINE ELECTRONICS RES INST
View PDF4 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the circular saw blade wear measurement method based on the classic Harris method has poor real-time performance, and some non-knife-tip points are often misjudged as knife-tip points. However, some non-knife-tip points a

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
  • Circular saw web wear extent online measuring method
  • Circular saw web wear extent online measuring method
  • Circular saw web wear extent online measuring method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0064] In order to make the objectives, technical solutions, and advantages of the present invention clearer, the following further describes the present invention in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, but not used to limit the present invention.

[0065] An online measurement method for the wear of a circular saw blade of the present invention. Before measuring the wear of the circular saw blade online, the industrial camera is calibrated. The method is to install a calibration object with a known size at the position where the circular saw blade is installed. The machine triggers the image acquisition card to obtain the image of the calibration object, and calculates the pixel value of the known size according to the obtained image, and divides the known size by the pixel value to obtain the actual size value represented by each pi...

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 a circular saw web wear extent online measuring method. The method is realized through the following steps: an industrial control computer triggering an image acquisition card, and obtaining circular saw web images from an industrial camera; preprocessing the images; based on a self-adaptive threshold, finding out candidate angle points of circular saw webs by use of an eight-neighborhood gray scale similarity screening method; determining whether the candidate angle points are unique angle points in a neighborhood or angle point response function values are the maximum so as to rejecting pseudo angle points; determining whether the angle points are maximum points, and otherwise rejecting the angle points so as to determining whole pixel coordinates of circular saw web tip points; carrying out sub-pixel positioning on the tip points by use of a cubic surface fitting method; and solving a radius value of a circle where the tip points are disposed by use of a least square method, and obtaining an actual wear extent of the circular saw webs through a camera calibration relation. According to the invention, the circular saw web wear extent online measuring method is good in real-time performance, high in detection precision and high in effectiveness. Besides, a detection result provides a basis for a compensation mechanism to execute compensation.

Description

Technical field [0001] The invention belongs to the technical field of image processing, and relates to a visual detection method for the wear state of a tool, and more specifically, to an online measurement method for the wear of a circular saw blade. This method is to identify the edge corners of the image, and then calculate the wear of the circular saw blade according to the position of the corners. Background technique [0002] As an emerging detection technology, machine vision has been widely used due to its fast, real-time, intelligent and low-cost characteristics. The measurement based on machine vision is a non-contact measurement method. It can not only measure the features of the workpiece in real time, improve the measurement efficiency, but also adjust the focal length of the industrial camera and other parameters according to the size of the workpiece to achieve a larger range of size measurement. Can avoid measurement errors due to changes in the measurement pers...

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
IPC IPC(8): G06T7/00G01B11/02
CPCG01B11/022G06T7/0004G06T2207/30164
Inventor 齐继阳唐文献陆震云李钦奉苏世杰孟洋魏赛吴倩
Owner CETC NINGBO MARINE ELECTRONICS RES INST
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