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Author:

Shen, Qingming (Shen, Qingming.) | Gao, Jianmin (Gao, Jianmin.) | Li, Cheng (Li, Cheng.)

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EI Scopus CSCD PKU

Abstract:

To improve the rate and accuracy of weld defect segmentation in radiographic images, a segmentation method based on water-flooding principle is proposed. According to the principle water flows downwards to the low-lying-land and runs over when it is full, the region of a defect and its neighbor are flooded and the threshold value is determined in terms of the growth of the flooded area. The waveform analysis of gray level profiles is used to detect a defect and get the seed point. Then, a flooding process is carried out starting from the seed point, where a line by line search strategy is employed. Once flooding, the threshold is determined by analyzing the relative increment of the flooded area. The experimental results show that the computation cost of the proposed method is 5.3% and 25% of that of Alaknanda method and Kaftandjian method, and the segmentation error gets 27.33% and 53.14%.

Keyword:

Computation costs Flooded areas Line searches Radiographic images Segmentation error Segmentation methods Threshold-value Weld defects

Author Community:

  • [ 1 ] [Shen, Qingming;Gao, Jianmin;Li, Cheng]State Key Laboratory for Manufacturing System Engineering, Xi'an Jiaotong University, Xi'an 710049, China

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Source :

Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University

ISSN: 0253-987X

Year: 2010

Issue: 3

Volume: 44

Page: 90-94

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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