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Bilateral despeckling filter in homogeneity domain for breast ultrasound images

机译:乳腺超声图像均质域中的双边去斑滤波器

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Breast sonograms are more effective towards differentiation of cysts from solid tumours; if they could be post-processed for minimization of speckle content without blurring of edges. The approach presented in this paper consists of a bilateral filtering in homogeneity domain so that the despeckling process do not compromises the texture and features of masses. The proposed despeckled approach decomposes the input image into homogeneous and non-homogeneous regions; which are then selectively processed using the bilateral filter. The domain filtering component is made dominant when applied to homogeneous pixels providing smoothening while the range filter dominates on the non-homogeneous pixels leading to edge preservation. Simulations carried out on breast ultrasound images depict satisfactory speckle filtering supported with improvement in values of performance parameters (PSNR, SSIM & SSI).
机译:乳房超声检查对区分实体瘤中的囊肿更有效。是否可以对它们进行后处理以使斑点含量最小化而不会模糊边缘。本文提出的方法由均质域中的双边过滤组成,因此去斑点过程不会损害质量和结构特征。所提出的去斑点方法将输入图像分解为均匀和非均匀区域。然后使用双边过滤器对其进行选择性处理。当应用于均匀像素以提供平滑效果时,将域滤波组件置于主导地位,而范围滤镜在非均匀像素上占主导地位,从而导致边缘保留。在乳房超声图像上进行的仿真显示令人满意的斑点滤波,并支持了性能参数(PSNR,SSIM和SSI)值的改进。

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