基于多尺度梯度矢量流场b样条蛇的焊缝射线图像缺陷检测

International Workshop on Systems, Signal Processing and their Applications, WOSSPA Pub Date : 2011-05-09 DOI:10.1109/WOSSPA.2011.5931454

Y. Boutiche, A. Bessekri

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引用次数: 0

摘要

在本文中，我们使用活动轮廓模型(snake)对射线图像中的焊缝缺陷进行边缘检测和分割。梯度矢量流蛇增强了凹目标的提取能力。然而，GVF蛇对噪音很敏感。将不同的方法与GVF蛇相结合，建立了几种新的蛇模型。本文提出了一种多尺度梯度矢量流场和b样条模型，克服了传统梯度矢量流场的缺点。合成图像和射线照相图像的实验正在取得进展

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Detection of defects in weld radiographic images by using multi-scale GVF B-spline snake

In this paper, we use the active contour models (Snakes) for edge detection and segmentation of weld defects in radiographic images. Gradient Vector Flow snakes enhance the concave object extraction capability. However, the GVF snakes are sensitive to noise. Several new snake models were developed by combining different methods with GVF snake. Here, a multiscale GVF and B-spline model is proposed to overcome the traditionnal GVF dis-adventage. Experiments on synthetic and radiographic images are promoising

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International Workshop on Systems, Signal Processing and their Applications, WOSSPA

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