Title :
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
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;
Conference_Titel :
Mechanic Automation and Control Engineering (MACE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7737-1
DOI :
10.1109/MACE.2010.5535614
