基于模糊推理的多级图像增强算法

Multi-level image enhancement based on fuzzy inference

提出了一种基于模糊逻辑理论的多层次图像增强算法。该方法在保护图像主要纹理特征的基础上，分别对各模糊子集进行增强处理，从而将算法推广为多层次增强，提高了不同灰度级区域间的对比度。与经典方法的比较实验的结果显示，该增强算法能很好地提高图像的对比度，尤其对于医学图像，能显著改善图像质量，提高医生临床诊断的有效性。

A multi-level image enhancement algorithm based on the fuzzy logic theory is proposed in this paper. The algorithm performs the enhancement processing for each fuzzy subset based on the protection of images＇ main grain features to implement its fimction of multilevel enhancement, thus the contrast between different grey scale areas is improved. The algorithm was compared with the classical methods by experiment and the results showned its good ability to improve image quality by raising the image contrast, especially in the medical image processing.