Application of image analyzer in metallographic analysis -- principle of image analyzer -- Nanjing HD intelligent(图像分析仪在金相分析中的应用-图像分析仪的原理-南京高清智能).doc
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1、Application of image analyzer in metallographic analysis - principle of image analyzer - Nanjing HD intelligent图像分析仪在金相分析中的应用-图像分析仪的原理-南京高清智能Application of image analyzer in metallographic analysis - principle of image analyzer - Nanjing HD Intelligent Company home company profile, product catalog,
2、technical service knowledge, typical user image forum, contact our product catalogTCI series image analysis systemUniversal image analysis systemMetallographic image analysis systemAluminum alloy analysis systemCopper alloy analysis systemCopper tube measuring and analyzing systemGrain analysis syst
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7、marketing: turn 8002, service: turn 8000. Technology: turn 8001 linksNanjing HD Intelligent Technology Co., Ltd.Application of image analyzer in metallographic analysisWith the development of computer technology and stereology and image analyzer is widely used in metallurgical analysis, the traditio
8、nal metallographic analysis from qualitative or semi quantitative state gradually to the direction of the development of quantitative metallographic analysis.Metallurgical workers over the years has been from the metallographic sample polishing on the surface through the microscope to qualitatively
9、describe the microstructure characteristics of metal materials or using the method for evaluation of microstructure, compared with the standard picture of grain size, non-metallic inclusions and second phase particles, this method is not accurate, assessment with great subjectivity, the reproducibil
10、ity of the results are not satisfactory, and are measured in two-dimensional metallographic sample polishing on the surface, compared with the measurement results and the real three-dimensional space structure has a certain gap. The emergence of modern stereology provides an extrapolation from 2D im
11、age to 3D space science, 3D spatial data and the determination of metal materials to the two-dimensional plane of the actual microstructure shape, size, number and distribution link of a science, and can make the material three-dimensional organization shape and size the number and distribution of i
12、ts mechanical properties, the establishment of internal relations, provides the reliable data for scientific evaluation materials.Not because of the metal material microstructure and non-metallic inclusions such as uniform distribution, so the determination of any one of the parameters are not only
13、determined by the human eye one or several field under the microscope to determine the statistical method needs a large number of statistical work enough field, in order to ensure the reliability of measurement results. If only the eyes are visually evaluated by the microscope, the accuracy, consist
14、ency and reproducibility are very poor, and the measurement speed is very slow, and some of them can not be carried out because of the excessive workload. The image analyzer in the electron optics and electronic computer technology advanced instead of human observation and statistical calculation, c
15、an quickly and accurately measuring and data processing have statistical significance, also has the advantages of high precision, good reproducibility, avoid the characteristics of artificial factors on metallographic evaluation results, and the operation is simple, can directly print measurement re
16、port at present, has become an indispensable means of quantitative metallographic analysis.The image analyzer is a powerful tool for quantitative research on materials, but also the daily metallographic examination of a good helper, can avoid the subjective error caused by artificial assessment, so
17、as to avoid passing phenomenon. Although in the daily metallographic examination, not every time using an image analyzer, but when the quality of the products or abnormal microstructure level is between qualified and unqualified to judge, you can use the image analyzer for quantitative analysis, acc
18、urate result, to ensure product quality. The application of image analyzer in metallographic analysis has expanded the inspection items of metallographic examination, promoted the improvement of detection level, and is also beneficial to improve the quality of testing personnel.1 image analyzer prin
19、ciple and function brief introductionAn image analyzer consists of an optical imaging system consisting of a gold mirror, a telescope, and a macro camera. The purpose of this system is to make images of metallographic specimens or photographs. Metallographic microscope can be used for quantitative m
20、etallographic analysis of metallographic specimens. Macro camera station is suitable for analysis of metallographic photos, negatives and objects.In order to store, process and analyze images by computer, the image needs to be digitized first. A frame is composed of a distribution of different gray
21、levels. It is represented by mathematical notation as J = J (x, y), X and y are coordinates of pixels on the image, and j is the gray value of the pixel. Thus, an image can be represented by a m * n order of moments, each element in the moment corresponds to a pixel in the image, and the value of th
22、e AIJ is the gray value of the pixel in the image, which belongs to row I, column J. The CCD camera (charge coupled device camera) is an image digitizing device. The microscopic characteristics of the metallographic sample through optical systems on CCD imaging and realized by CCD photoelectric conv
23、ersion and scanning, and then as the image signal is amplified by the amplifier, removed, and quantified into gray level after stored, so as to obtain digital image. The computer sets the gray value threshold T according to the gray value range of the image to be measured in the digital image. For d
24、igital image in any one pixel, if its intensity is greater than or equal to T, in white (gray value 255) to replace the original gray level; if less than T in black (gray value 0) to replace the original gray, can put the image into two value image only black and white two a gray, then the image pro
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