Engine surface processing hole diameter measuring algorithm

Abstract

The invention discloses an engine surface processing hole diameter measuring algorithm, which comprises the following steps: S1, an industrial robot driving an industrial camera to acquire a to-be-processed hole image above the surface of an engine, performing calibration at the same time, and determining the coordinate of the optical center of the camera in the image; S2, roughly positioning theposition of each to-be-machined hole through matching of a preset template; S3, segmenting a single processing hole image region, dividing a rectangular region of interest around the circle center ofthe coarse positioning at equal intervals, and positioning the edge points of the processing hole; S4, using an RANSAC algorithm,repeatedly sampling edge point fitting contours, removing local outer points, and stabilizing processing hole edge and center point coordinates which are accurate in positioning; S5, connecting the circle center of one machining hole with the optical center coordinate ofthe industrial camera, drawing a vertical line by taking the circle center as a vertical foot, intersecting with the precisely fitted edge contour of the processing hole to determine the aperture ofthe processing hole, and calculating the actual aperture; and S6, repeating the steps to obtain the diameters of all the machining holes. According to the method, the diameters of the processing holescan be accurately and stably measured.

Description

technical field [0001] The invention relates to a processing hole positioning method, in particular to an engine surface processing hole diameter measurement algorithm. Background technique [0002] With the development of today's computer technology and the popularization of applications, machine vision has become one of the most active research fields. It has attracted widespread attention at home and abroad with its unique advantages, and has a very broad application field. Machine vision detection technology is a detection technology established on the basis of machine vision theory. Because traditional measurement technology and equipment are relatively low in efficiency, precision and automation, it is difficult to meet the requirements of precise measurement [1]. ]. The non-contact size detection of parts based on machine vision is widely used in industrial automation production because of its fast detection speed, high precision and strong applicability. In the man...

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Problems solved by technology

Machine vision detection technology is a detection technology established on the basis of machine vision theory. Because traditional measurement technology and equipment are relatively low in efficiency, precision and automation, it is difficult to meet the requirements of precise measurement [1]. ]

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