基于模糊自适应算法的胸片图像增强研究

Study of chest radiograph image enhancement based on fuzzy adaptive algorithm

胸片图像增强是计算机辅助诊断的关键之一,更适合医生对病人的观察或机器的分析处理。本文在基于模糊理论的基础上,通过研究经典的Pal和King模糊增强算法中的不足,对胸片图像进行增强处理。提出了一种自适应阈值的广义模糊增强算法。将图像引入广义模糊空间;然后定义一个衡量图像质量标准的参数。改进的算法通过调节参数使图像更加清晰同时保留了更多的细节。实验结果表明,该算法可快速有效地增强图像,比传统的模糊增强算法和直方图均衡化细节更加清晰。

The enhancement of lung image is very important for computer-aided diagnosis,and is more suitable for doctor observing and analyzing and processing of machines.In this paper,based on Fuzzy theory,through studying the classic Pal and King fuzzy enhancement algorithm insufficiency for the enhancement of chest X-ray image,a generalized fuzzy enhancement algorithm with adaptive threshold has been proposed,the image into generalized fuzzy space;then define a measure of image quality standard of parameters.which not only remains more details but also makes the image sharpness.It is showed by experiments that the algorithm can effectively enhance image and is superior to the traditional fuzzy enhancement algorithm and the histogram equalization method.