基于Matlab的X线医学图像增强与直方图处理方法

目的:改善医学图像质量,使低对比度的图像得到增强.方法:利用Matlab工具箱函数,采用灰度直方图均衡化和灰度直方图规定化的方法对一幅X线图像进行增强处理,并比较它们的增强效果.结果:用直方图均衡化和规定化的算法,将原始图像密集的灰度分布变得比较稀疏,处理后的图像视觉效果得以改善.直方图均衡化对于局部细节增强不显著,而直方图规定化则使不易观察到的细节变得清晰.结论:使用Matlab工具箱大大简化了编程工作,为医学图像处理提供了一种技术平台.直方图规定化法处理医学图像局部细节方面好于均衡化.

X-ray medical image enhancement and histogram processing methods based on Matlab

AIM: To improve the quality of medical image by enhancing the low-contrast details. METHODS: Two processing methods, the gray-level histogram equalization and the gray-level histogram regulation, were applied to enhance an X-ray image and their enhancement effects were compared by using Matlab toolbox functions. RESULTS: By the two means of algorithm-histogram equalization or regulation, the dense gray-level distribution of the original image became sparse, and the output image was refined. The regulation method strengthened the difficultly observed details, while the equalization method improved less the local details of image. CONCLUSION: Matlab toolbox is helpful for simplifying the programming and provides a platform for medical image processing. The regulation method is better than the equalization method in presenting the local details of medical images.