Research on quantitative analysis method of steel dimples based on wavelet transform

Author

Li Xincheng ; Ding Fei ; Zhu Weixing ; Feng Xiaotian

Author_Institution

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

fYear

2010

fDate

26-28 June 2010

Firstpage

365

Lastpage

368

Abstract

In order to explore the relation between steel´s dimple size and mechanical properties, it is necessary to measure and classify the dimple size accurately. An improved dimple image quantitative analysis method based on combination of wavelet transform and mathematics morphology was proposed in this paper. It measured and analyzed the dimples by means of edge detection based on combination of B-spline wavelet transform and mathematics morphology, water-growing segmentation and measurement method etc. Application results showed that it had a good processing effect to solve the defects such as dimple edge fuzzy, dimple edge deletion and dimple holes etc, and its quantitative analysis was accurate, effective and convenient.

Keywords

edge detection; image segmentation; mathematical morphology; mechanical engineering computing; research and development; steel; steel manufacture; wavelet transforms; B-spline wavelet transform; dimple image quantitative analysis; edge detection; mathematics morphology; measurement method; mechanical properties; quantitative analysis method; steel dimples; water-growing segmentation; Image analysis; Image edge detection; Mathematics; Mechanical factors; Mechanical variables measurement; Morphology; Size measurement; Steel; Wavelet analysis; Wavelet transforms; B-spline; dimples; morhpology; quantitative analysis; wavelet transform;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechanic Automation and Control Engineering (MACE), 2010 International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-7737-1

Type

conf

DOI

10.1109/MACE.2010.5535614

Filename

5535614