x射线图像的断裂识别

Jian Liang, Bao-chang Pan, Yong-hui Huang, Xiao-yan Fan
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引用次数: 14

摘要

本文提出了一种在人体x线照片中识别骨折的方法。根据x射线图像的特点,将用于验证分割的高阶统计矩与部分阈值法相结合,对骨图像进行分割。分割后,应用数学形态学提取目标边界,覆盖裂缝边界。通过叠加目标边界图像,覆盖提取的骨骼,可以识别出骨折的精确位置,从而识别出x射线照片中的骨折。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fracture identification of X-ray image
This article proposes a method to identify fractures in human X-ray photos. According to the characteristics of X-ray image, the high-order statistical moments adopted to verify segmentation have been combined with partial threshold method to segment bone image. After the segmentation, mathematical morphology will be applied to extract the target border and cover the boundary of fractures. By superposing the target border image and covering the extracted skeleton, the precise location of fractures can be recognized and therefore the fractures in the X-ray photos will be identified.
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