Self-adaptive characteristics segmentation optimized algorithm of weld defects based on flooding

Changying Dang; Jianmin Gao; Zhao Wang; Fumin Chen

doi:10.1117/12.2015368

23 May 2013 Self-adaptive characteristics segmentation optimized algorithm of weld defects based on flooding

Changying Dang, Jianmin Gao, Zhao Wang, Fumin Chen

Proceedings Volume 8745, Signal Processing, Sensor Fusion, and Target Recognition XXII; 87451T (2013) https://doi.org/10.1117/12.2015368
Event: SPIE Defense, Security, and Sensing, 2013, Baltimore, Maryland, United States

Abstract

In order to improve the accuracy and efficiency of weld defect segmentation in automatic radiographic nondestructive testing and evaluation（NDT&E）, an effective weld defect segmentation algorithm based on flooding has been developed, which has the self-adaptive characteristics. Firstly, the defect’s feature points are extracted from the scale space of radiographic films. Based on the information of defect points, the seed points and seed domains of defect discrimination are adaptively determined, in which the defect segmentation seed will be searched. Then, aiming at the sparsity of weld defects and canyon characteristics of 3D topographic map of defect regions, the drip-watering and water flooding have been used for reference. The flooding is carried out by using line-flooding algorithm, in which water starts from defect seed points and flows to the neighbor regions in order. On the basis of the flooding-area change and flooding-level ascending velocity, the defect segmentation threshold values are determined and the weld defects also are segmented from the radiographic films. At last, the comparative experiments have been carried out to compare the proposed algorithm with the watershed segmentation algorithm and background subtraction segmentation algorithm. And the experiment results confirm that the proposed algorithm obviously improves the accuracy and efficiency of weld defect’s segmentation.

Citation Download Citation

Changying Dang, Jianmin Gao, Zhao Wang, and Fumin Chen "Self-adaptive characteristics segmentation optimized algorithm of weld defects based on flooding", Proc. SPIE 8745, Signal Processing, Sensor Fusion, and Target Recognition XXII, 87451T (23 May 2013); https://doi.org/10.1117/12.2015368

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