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Improved X-ray Edge Detection Based on Background Extraction Algorithm

机译:基于背景提取算法改进的X射线边缘检测

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Digital X-ray imaging is a source of generous information about health of patient bones. One of major obstacles in computer analysis of digital X-ray images is the presence of bone tissue and soft-tissue areas. It has a negative impact on the quality of bone edge detection or detection of bones area on X-ray images. The main goal is to create an efficient method of edge detection which performs efficiently on properly prepared digital X-ray images. This paper describes a new method of background removal from X-ray images where the background is in the form of soft-tissue. The aim of this is to prepare the image to the next step of processing. We also present a new approach to edge detection of bones on X-ray images. Performance of the proposed method is achieved by eliminating unnecessary areas of the image which are not bone tissue and which are not the main region of interest. Additionally, the presented method of edge detection is partly based on known algorithm named Integral Image and specific edge detection filter, what allow to achieve the desired objectives.
机译:数字X射线成像是关于患者骨骼健康的慷慨信息的源泉。数字X射线图像计算机分析中的主要障碍之一是存在骨组织和软组织区域。它对X射线图像上的骨边缘检测或检测骨骼区域的质量产生负面影响。主要目标是创建一种高效的边缘检测方法,其有效地在正确准备的数字X射线图像上执行。本文介绍了一种从X射线图像中删除的新方法,其中背景是软组织的形式。其目的是准备图像到下一个处理步骤。我们还提出了一种新方法来检测X射线图像上的骨骼。通过消除不是骨组织的图像的不必要区域并且不是感兴趣的主要区域来实现所提出的方法的性能。另外,所呈现的边缘检测方法部分基于已知的算法名为积分图像和特定边缘检测滤波器,允许实现所需的目标。

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