基于数字图像处理技术灰铸铁金相分析.pdf

Metallurgical Analysis on Grey CastIronBased on DigitalImage Processing Abstract Grey castironwas selected asthe researched materials tothe standard ofquantitatively detecting,experiment selected enlarge multiple is OOx,200 x and 500x to capture metallographic paper provided the study on microstructure image processing andanalyzing methods based on digitalimage processing. The mainachievements and conclusions are asfollows: atthe non-uniform phenomenon ofmicrostructure image brightness,one method which based on thetheory ofshadow remedy Was used toremedy it;thealgorithms bined wavelet transform and mean filtering Was used to reduce thenoise of image. segmentation methods,such as threshold method,FCM method,ic algorithm and wavelet transform,were used tosegment thegrey cast ironmicrostructure image,and thispaper analyzed thesegmentation resultsandperformance thisfoundation,an approach for grey cast iron image segmentation,called ic algorithm based on 2-D maximum between-cluster variance inwavelet domain,Was resultshows thatthealgorithm achieves goodperformance. quantity,ferrite quantity,pearlitequantity were calculated byarea,graphite length Was calculated by thedistance oftWO pixelpoints,graphiteform ofgrey cast iron was recognized by fractaltheory,the span between pearlite flakesWas calculated by the distance oftwo pixelpoints inthispaper. system ofgrey castironmetallography Was developed based onMatlab. Key words:Grey castiron;Image processing;Wavelettransform;icalgorithm; Fuzzy cluster;Metallographic analysis D rected by: Chun guang App cant for Master degree:ZHANG Ha jun(AgriculturalMechanization) (Mechanical and Electrical Engineering College,InnerMongoliaAgricultural University,Huhhot 010018,China) 图表清单图1图像采集方案?????????????????????????????????5 图2标定简图??????????????????????????????????.7 图3真彩色图和灰度图??????????????????????????????.8 图4增强效果图及其直方图?