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Research On Visual Inspection System For Surface Defects Of Electrolytic Nickel

Posted on:2022-09-29Degree:MasterType:Thesis
Country:ChinaCandidate:X WangFull Text:PDF
GTID:2481306524451304Subject:Mechanical engineering
Abstract/Summary:PDF Full Text Request
Because electrolytic nickel is widely used in mechanical processing and aerospace manufacturing,and the two fields have different quality requirements for electrolytic nickel,in order to meet the different requirements for the quality of electrolytic nickel in different fields,nickel smelting companies add after the electrolytic nickel is discharged from the tank.The manual screening process has been completed.In this link,several employees will open the electrolytic nickel stacked on the flip rack one by one for inspection,remove the low-grade electrolytic nickel that needs to be cut,and draw the cutting line,and the cutting staff will cut it according to the cutting line.The whole process is all manual operation,the labor intensity of workers is high,the inspection standards are not fixed,and automation is urgently needed.According to the current inspection situation of the company,after consulting the data,it was found that there are two kinds of defects on the surface of electrolytic nickel and the determination standards are different.According to the manual screening process and the standards established by the company,it is decided to study the visual inspection system for the surface defects of electrolytic nickel.The system is divided into two parts: a visual inspection system and a supporting mechanical system.The visual inspection system uses warm yellow LED lights and diffuse lighting as the illumination source and lighting method of the image acquisition system,and uses Matlab as the image processing platform.The mechanical system part briefly proposes the design scheme of the robot fixture,the shearing position adjustment device and the control system.The focus of this article is the research on defect visual detection algorithms.First,preprocess the collected electrolytic nickel images,select a suitable filtering algorithm to reduce the noise of the image,and avoid noise from interfering with defect detection,and then adopt intercepted piecewise linear transformation.Enhance pore defects.The Otsu threshold processing algorithm is used to identify stomata,and the improved Canny edge detection algorithm is used to identify knots.On this basis,the open operation is used multiple times to separate the connected stomata defects,and the closed operation and the edge connection algorithm based on the neighborhood idea are used to connect the broken knots.Grain edge.After the defects are detected,the pores and grains are judged separately according to the standards set by the company,and the judgment results of the two are combined,and the horizontal line,the vertical line and the preselected line determined according to the smallest circumscribed rectangle are compared,and the area that can make the defect is drawn The smallest pre-selected line,and the test success rate and line-drawing comparison experiment are completed under the existing samples.The surface defect detection system of electrolytic nickel studied in this paper realizes the identification and drawing of physical defects on the surface of electrolytic nickel.It has good engineering application value and provides a certain reference value for the practical application of electrolytic nickel surface defect detection.
Keywords/Search Tags:Electrolytic nickel, Machine vision, Defect detection, Image segmentation
PDF Full Text Request
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