Circular saw web wear extent online measuring method

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...

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 are still often misjudged as knife-tip points, and it is impossible to accurately locate the knife-tip points of different circular saw blades. The measurement error is too large and cannot be applied to the actual measurement process.

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