The Fusion Technology Of Stripe Images Based On Oblique Laser Interferometry

Because helical gears have the advantages of low noise and stable load,they have been widely applied in many fields of production and life.According to the results of relevant research abroad,it is shown that even if micron-level shape errors occur in the tooth surfaces of precision helical gears,it will have a significant adverse effect on transmission efficiency,noise,and service life.Therefore,if you want to improve the manufacturing precision of helical gear tooth surface shape in the industrial field,you should first achieve high-precision measurement of the tooth surface.In practice,laser interferometry has its own advantages such as high accuracy,high speed,and non-contact,so it can play an important role in measuring the shape error of helical gear tooth surfaces.When laser interferometry is used to measure the shape error of helical gear tooth surfaces,the data information that can be collected and processed is limited to interference fringe images,so its processing method can have a decisive influence on the accuracy and feasibility of high measurement.In this paper,the fusion technique of the interference fringe image below the tooth surface of the helical gear is specifically discussed,including the identification and suppression of speckle noise,as well as the fusion splicing technique,etc.,which can be used to improve oblique laser interferometry.The quality of the interference image provides a new method.Speckle noise is a common phenomenon in laser interference.It can fully cover the shape information of the relevant area of the surface to be measured,which may cause the measurement error of the helical gear tooth surface interference image.Aiming at the characteristics of speckle noise in oblique laser interferometry,this topic proposes a new identification method,namely speckle noise recognition method based on object image.It can automatically determine and calculate the upper and lower thresholds of speckle noise after statistically measuring the gray distribution characteristics in the effective measurement area and the background area of the object image.Based on this,pixels outside the threshold range in the object image are considered to be Speckle noise point.Then,the position of the speckle noise in the interference fringe image is obtained based on the micrometer-level mapping relationship between the object image and the interference fringe image.In this paper,a series of experiments are designed to repair the speckle noise region identified in the interference fringe image,and eliminate phase mutations greater than ? between adjacent pixel points within one fringe period in the wrapped phase map.In addition to the speckle noise area,when oblique-type laser interferometry is used to measure the tooth surface shape error of the helical gear,the dense-striped area and the partially-blurred area are often difficult to avoid.These image quality defects will seriously affect the final image processing results,which further affect the final measurement accuracy.This topic proposes a multi-group interference fringe image mosaic method to solve these problems.First,identify the reliable regions in each group of interference fringe images that can guarantee the measurement accuracy;then,using the simulation image as a bridge,establish the mapping relationship between the actual measured surface and the interference fringe image,and use the actual measured surface as the splicing reference.The measured surface shape information in each group of interference fringe images is restored to the actual surface being measured;then,based on the same main optical axis center,all the interference fringe image data are subjected to coordinate transformation;finally,the entire surface is subjected to coordinate transformation.The reliable region information on the group interference fringe image is resampled to obtain complete and accurate measured surface shape information.The proposed interference fringe image splicing method can realize the splicing and reconstruction of the corresponding shape error information in the interference fringe images with different main optical axis positions.Designed and conducted relevant experiments to prove the feasibility of the proposed method.