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Edge Preserved De-noising Method using Bilateral Filter for X-ray and GIS Images

机译:使用双侧滤波器进行X射线和GIS图像的边缘保存的去噪方法

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GI/S and Medical X-ray images refer to the images captured by the satellites and specialized electronic devices. GIS images are used to survey and analyze the satellite-range prone regions and extract useful information like two and _three- dimensional characteristics of the Earth's surface, subsurface, atmosphere etc contained in the regions. Medical X-ray images are used to analyze the human internal bone structure for fracture/diseases identification for better diagnosis. However, during the process of acquisition and transmission of these images, noise may be introduced to them or image may be corrupted with noise during acquisition. Due to which the analysis might become tedious. Thus any de-noise method should preserve the edges while de- noising. This paper proposes an ideal method using a NeighShrink SURE based de- noising algorithm and a bilateral filter with the primary aim to preserve the edge information. The proposed algorithm is compared with median, visushirnk, normalshrink and bayeshink method and given better results for proposed method with higher SNR and PSNR values. The edge preservation was the main focus in this paper hence the Accuracy and Error Rate are also measured for original edges.
机译:GI / S和医疗X射线图像是指由卫星和专业电子设备捕获的图像。 GIS图像用于调查和分析卫星俯卧区,并提取物区中包含的地面表面,地下,大气等的两个和初级特征等有用信息。医疗X射线图像用于分析人类内部骨骼结构以进行骨折/疾病鉴定,以便更好地诊断。然而,在这些图像的获取和传输过程中,可以引入噪声,或者图像可以在获取期间损坏噪声。由于分析可能会变得繁琐。因此,任何脱噪法都应在取消通知时保留边缘。本文提出了一种理想的方法,使用基于邻居肯定的去噪算法和双边滤波器的主要目标,以保留边缘信息。将该算法与中位数,Visuhnk,Normalshrink和BayeshING方法进行比较,并为具有较高SNR和PSNR值的提出方法提供更好的结果。边缘保存是本文的主要焦点,因此还针对原始边缘测量了精度和错误率。

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