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Speckle noise reduction of ultrasound images using Extra-Energy Reduction function

机译:使用超能量减少功能减少超声图像的斑点噪声

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A new effective method for speckle noise reduction in ultrasound imaging is introduced in this paper. The proposed method is based on Extra-Energy Reduction (EER) function in the vector field, which is addressed by vector triangular formula. It is reasonable to decide that the calculated the energy of a pixel by vector triangular formula is less than the usual absolute distance energy of the same pixel then the pixel must be noisy. The noisy pixel with higher energy is moved to equilibrium situation by subtracting the extra energy for any type of functional operation (e.g. image segmentation, pattern recognition, objects classification). The implemented method reduces extra-energy from an image and provides a proper gray level distribution into the entire image. The technique demonstrates very impressive noise suppression without loss of important information compared to some existing state-of-the-art speckle denoising methods.
机译:介绍了一种新的降低超声图像斑点噪声的有效方法。所提出的方法基于矢量场中的超能量减少(EER)函数,该函数通过矢量三角公式解决。合理地确定,通过矢量三角公式计算出的像素能量要小于同一像素通常的绝对距离能量,则该像素必须是有噪声的。通过减去任何类型的功能操作(例如,图像分割,模式识别,对象分类)的多余能量,将具有较高能量的噪点像素移至平衡状态。所实施的方法减少了图像的额外能量,并在整个图像中提供了适当的灰度分布。与某些现有的最新斑点去噪方法相比,该技术显示出非常令人印象深刻的噪声抑制效果,而不会丢失重要信息。

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