Automatic detection of fracture in femur bones using image processing

Ankur Mani Tripathi, Abhi Upadhyay, A. Rajput, Ajay Pal Singh, Brajesh Kumar
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引用次数: 19

Abstract

The femur is the enlarged and the vigorous bone in the human body, ranging from the hip to the knee. This bone is responsible for the creation of Red Blood Cell in the body. Since this bone is a major part of the body, a method is proposed through this paper to visualize and classify deformities for locating fractures in the femur through image processing techniques. The input image is preprocessed to highlight the domain of interest. In the process, the foreground which is the major domain of interest is figured out by suppressing the background details. The mathematical morphological techniques are used for these operations. With the help of basic morphological operations, the foreground is highlighted and edge detection is used to highlight the objects in the foreground. The processed image is classified using the support vector machine (SVM) to distinguish fractured and unfractured sides of the bone.
基于图像处理的股骨骨折自动检测
股骨是从臀部到膝盖,是人体中较大的、有活力的骨骼。这块骨头负责体内红细胞的生成。由于股骨是人体的主要部分,本文提出了一种通过图像处理技术对股骨骨折的畸形进行可视化和分类的方法。输入图像经过预处理以突出显示感兴趣的域。在此过程中,通过对背景细节的抑制,找出了主要感兴趣的前景域。数学形态学技术用于这些操作。在基本形态学操作的帮助下,突出显示前景,并使用边缘检测来突出显示前景中的物体。利用支持向量机(SVM)对处理后的图像进行分类,区分骨折侧和未骨折侧。
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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