A Method Based on Area Histogram for Coarse Carbides Classification in High Speed Tool Steel
Manual methods are used to perform the classification of coarse carbides in high speed tool steel these days, so a quantitative standard is demanded necessarily to achieve the automatic classification. In order to obtain the standard and further perforM processing and analysis of carbide metallograph, area histogram used in image retrieval is first introduced to metallographic analysis field. Average area histogram(AAH)and prominent area histogram (PAH) of different levels high-speed steel carbide spectrum are computed.and then the relationship between AAH&PAH and the distribution of carbide is found. Because a large number of small carbides on the calculation of AAH generated interference, the calculation result is not satisfactory so filter coefficients is put forward and used to remove the impact of small pieces of carbides on analysis results. Filter coefficients is further discussed by means of experiments results and AAH&PAH which are regarded as a quantitative standard of the automatic classification are calculated based on the best filter coefficient.
coarse carbides average area histogram AH prominent area histogram PAH filter coefficient
ZHANG Ji WANG Guitang LIU Wenjuan
Information Engineering College Guangdong University of Technology Guangzhou, China
国际会议
Second International Symposium on Information Science and Engineering(第二届信息科学与工程国际会议)
上海
英文
634-636
2009-12-26（万方平台首次上网日期，不代表论文的发表时间）