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Performance Analysis of Edge and Detailed Preserved Speckle Noise Reduction Filters for Breast Ultrasound Images

机译:乳房超声图像边缘和详细保存斑块降噪滤波器的性能分析

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Breast ultrasound is one of the powerful modalities for medical breast lesion imaging. Since ultrasound images are usually corrupted by speckle noise, it is important to perform effective despeckling process. Some filters perform despeckling process smoothly but they do not preserve the edges and details of ultrasound images. Edges and details are important features of lesion classifications. This paper aims at studying speckle noise reduction filters performance due to their ability for preserving edges and details of breast ultrasound images. Adaptive median filter, Frost's filter, detailed preserved anisotropic diffusion filter and Wiener filter in wavelet domain are compared and evaluated on the basis of Peak Signal to Noise Ratio, Mean Squared Error, Average Difference, Mean, and Variance as second-order texture operator.
机译:乳房超声是医用乳房病变成像的强大模式之一。由于超声图像通常由散斑噪声损坏,因此执行有效的检测过程非常重要。有些过滤器平稳地执行检测到的过程,但它们不保留超声图像的边缘和细节。边缘和细节是病变分类的重要特征。本文旨在研究散斑降噪过滤器性能,因为它们保持边缘和乳房超声图像的细节。基于峰值信号到噪声比,平均误差,平均差异,平均值,平均差异,平均值,平均差异,平均值,平均差异,平均值,平均差异,平均值和作为二阶纹理运算符的平均差异,平均值和方差进行比较和评估,对微波域进行霜冻滤波器,详细保存的各向异性扩散滤波器和维纳滤波器。

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