结合灰度波动信息与C-V模型的骨折股骨数字X线片分割

Segmentation of Fracture Femoral Digital Radiographs Based on Grayscale Fluctuations and C-V Model

骨折股骨数字X线片具有拓扑结构复杂、灰度分布不均匀的特点,现有方法不能很好地解决此类图像的分割问题,为此提出一种结合灰度波动信息的主动轮廓模型.首先引入灰度波动的概念,获得图像水平方向上的灰度波动曲线;然后依据曲线单调区间对图像进行灰度波动变换;最后重新定义水平集函数,获得一种新的主动轮廓模型,实现对灰度不均匀图像的分割.实验结果表明,该模型能够有效地分割骨折股骨数字X线片,并获得了较高的分割精度.

Fracture femoral digital radiographs have the characteristics of complicated topology and inhomogeneous intensity distribution. These characteristics make it difficult to segment images effectively. To address this issue, this paper proposes an active contour model combined with grayscale fluctuation information. First, the concept of gradation fluctuation is introduced, and a grayscale fluctuation curve is obtained in the horizontal direction of images. Second, grayscale fluctuation transformation on images is performed according to the monotone interval. Last, the new active contour model is obtained by redefining the level set function, and the inhomogeneous intensity image segmentation is realized accordingly. Experimental results show that the proposed model effectively segments the fracture femoral digital radiographs with high accuracy.