首页> 外文会议>International Conference on Artificial Intelligence and Computational Intelligence;AICI '09 >Feature Extraction of X-ray Fracture Image and Fracture Classification
【24h】

Feature Extraction of X-ray Fracture Image and Fracture Classification

机译:X射线断口图像特征提取与断口分类

获取原文

摘要

X-ray images are the essential aiding means all along in clinical diagnosis of fracture. So the processing and analysis of X-ray fracture images is particularly important. Extracting the features of X-ray images is a very important process in classifying fracture images according to the principle of AO classification of fractures. A proposed algorithm is used in this paper. First, use marker-controlled watershed transform based on gradient and homotopy modification to segment X-ray fracture images. Then the features consisted of region number, region area, region centroid and protuberant polygon of fracture image are extracted by marker processing and regionprops function. Next we use Hough transform to detect and extract lines in the protuberant polygon of X-ray fracture image. The lines are consisted of fracture line and parallel lines of centerline. Through the parallel lines of centerline, we obtain centerline over centroid and perpendicular line of centerline over centroid. Finally compute the angle between fracture line and perpendicular line of centerline. This angle can be used to classify femur backbone fracture.
机译:X射线图像一直是骨折临床诊断中必不可少的辅助手段。因此,X射线断层图像的处理和分析尤为重要。根据裂缝的AO分类原理,提取X射线图像的特征是对裂缝图像进行分类的一个非常重要的过程。本文提出了一种算法。首先,使用基于梯度和同态修改的标记器控制的分水岭变换来分割X射线骨折图像。然后通过标记处理和区域props函数提取出断裂图像的区域编号,区域面积,区域质心和凸多边形组成的特征。接下来,我们使用霍夫变换来检测和提取X射线断层图像的凸起多边形中的线。这些线由断裂线和中心线的平行线组成。通过中心线的平行线,我们得到质心上的中心线和质心上的中心线的垂直线。最后计算断裂线和中心线垂直线之间的角度。该角度可用于对股骨骨干骨折进行分类。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号