图像增强技术在X射线医学影像中的应用

目的:对X射线影像进行图像增强。方法:应用多种互补的图像增强方法,首先采用拉普拉斯法来突出图像中的细节,使用梯度法突出边缘,然后用平滑后的梯度图像掩蔽拉普拉斯图像,通过高提升滤波得到锐化图像,再使用灰度变换增大锐化图像的灰度动态范围。将本文算法的结果与传统图像增强算法的结果进行比较,该算法对X射线影像增强效果显著,相比传统算法有很大的优势。增强后的图像细节更加清晰,优于传统算法的实现效果。结论:本文算法对医学X射线影像具有一定的理论和实际应用价值。

Application of Image Enhancement in X-ray Medical Image

Objective: To Enhance the X-ray image. Method: Apply multiple complementary method on image enhancement. First of all, using the Laplacian method to highlight image details, and then using the gradient method projecting edge. Then using the smoothed gradient image masks Laplacian image, through the high increase filter obtains sharpen image. And then, the dynamic gray level range of the image sharpening is increased by the gray level transformation. Finally, comparing the results of traditional algorithm with the algorithm proposed in this paper. The algorithm proposed in this paper enhanced the X-ray medical image significantly, has the great advantage compared to the traditional algorithm. The detail of the enhanced image is clearer, the implementation effect is better than any kind traditional algorithm. Conclusion: The algorithm proposed in this paper has certain theoretical and practical applied value on X-ray medical image.