Research on Measurement and Classification System Design and Application about Ultra Steel Dimple

Author

Li Xin-cheng ; Wang Xin-liang ; Zhu Wei-xing ; Zhang Zhao-yang

Author_Institution

Sch. of Mech. Eng., Jiangsu Univ., Zhenjiang, China

fYear

2009

fDate

17-19 Oct. 2009

Firstpage

1

Lastpage

4

Abstract

In order to search the relationship of steel dimple´s diameter and mechanical properties, it is necessary to measure steel dimple´s diameter exactly and make a good numerical statistic, which can reduce the influence of human factor possibly. Adaptive fuzzy threshold segmentation method for equiaxed dimple image analysis and binary segmentation, which is produced by the ductile rupture, is used in this article, so the dimple and back ground are separated well. In order to measure exactly the dimple´s diameter, the algorithm of multi-region area based on freeman chain is improved, which can measure steel dimple´s diameter effectively, conveniently and accurately. Moreover it can provide the reliable foundation for analyzing the steel dimple´s diameter in the future.

Keywords

fuzzy systems; image classification; image segmentation; statistical analysis; adaptive fuzzy threshold segmentation; binary segmentation; measurement and classification system design; mechanical properties; numerical statistic; ultra steel dimple; Area measurement; Histograms; Human factors; Image analysis; Image segmentation; Mechanical engineering; Mechanical factors; Mechanical variables measurement; Statistics; Steel;

fLanguage

English

Publisher

ieee

Conference_Titel

Image and Signal Processing, 2009. CISP '09. 2nd International Congress on

Conference_Location

Tianjin

Print_ISBN

978-1-4244-4129-7

Electronic_ISBN

978-1-4244-4131-0

Type

conf

DOI

10.1109/CISP.2009.5303920

Filename

5303920