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首页> 外文期刊>Ultrasonic Imaging: An International Journal >Ultrasound Image Edge Detection Based on a Novel Multiplicative Gradient and Canny Operator
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Ultrasound Image Edge Detection Based on a Novel Multiplicative Gradient and Canny Operator

机译：基于新型乘性梯度和Canny算子的超声图像边缘检测

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摘要

To achieve the fast and accurate segmentation of ultrasound image, a novel edge detection method for speckle noised ultrasound images was proposed, which was based on the traditional Canny and a novel multiplicative gradient operator. The proposed technique combines a new multiplicative gradient operator of non-Newtonian type with the traditional Canny operator to generate the initial edge map, which is subsequently optimized by the following edge tracing step. To verify the proposed method, we compared it with several other edge detection methods that had good robustness to noise, with experiments on the simulated and in vivo medical ultrasound image. Experimental results showed that the proposed algorithm has higher speed for real-time processing, and the edge detection accuracy could be 75% or more. Thus, the proposed method is very suitable for fast and accurate edge detection of medical ultrasound images.
机译：为了实现超声图像的快速，准确的分割，提出了一种基于传统Canny算法和新型乘性梯度算子的斑点噪声超声图像边缘检测方法。所提出的技术将新的非牛顿型乘法梯度算子与传统的Canny算子结合在一起，生成初始边缘图，随后通过以下边缘跟踪步骤对其进行优化。为了验证提出的方法，我们将其与对噪声具有良好鲁棒性的其他几种边缘检测方法进行了比较，并在模拟和体内医学超声图像上进行了实验。实验结果表明，该算法具有较高的实时处理速度，边缘检测精度可达75％以上。因此，所提出的方法非常适合用于医学超声图像的快速和准确的边缘检测。

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