Effect of Iterative Variations on Despeckling Filters in Ultrasound Imaging

Deboshree Seal, A. P. Shukla, Ankur Bhardwaj
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引用次数: 2

Abstract

The ultrasound medical field are more favored in clinical diagnosis than further imaging mode, because it is conveyable, suitable, harmless and economic nature of it. The images are acquired and per-processed as this step plays a critical role in clinical diagnosis. The acquisition of the image may sometimes include various types of noise. In this paper we will work upon the speckle noise that may leads to suppression of the pixel quality and dissimilarity of the image as it is intrinsic in nature. The lower quality of the image, the more is the hurdle for the better extrication of features, identification, study and resolution of edges[1]. Because if the image is not properly captured due to the noise, that may result in inappropriate diagnosis by doctor. Under this paper, the work has been done by imposing various filters have been over the pictures, with different speckle values. And thereafter the image quality parameters are taken into considerations to compare the values of imposing filters over the image. The main aim of this paper is to have a comparison of some basic filters on various images.
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超声成像中迭代变化对去斑滤波器的影响
超声在医学领域的临床诊断中,由于其传输性、适用性、无害性和经济性等优点,比其他影像学方式更受青睐。由于这一步在临床诊断中起着至关重要的作用,因此对图像进行采集和预处理。图像的获取有时可能包含各种类型的噪声。在本文中,我们将研究可能导致抑制图像像素质量和不相似性的散斑噪声,因为它本质上是固有的。图像质量越低,越不利于更好地提取特征、识别、研究和分辨边缘[1]。因为如果由于噪声而不能正确捕获图像,可能会导致医生做出不正确的诊断。本文通过对不同散斑值的图像施加不同的滤镜来完成工作。然后考虑图像质量参数,比较施加在图像上的滤波器的值。本文的主要目的是对几种基本滤波器在不同图像上的应用进行比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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