作　　者： ; ;

机构地区： 兴义民族师范学院

出　　处： 《计算机仿真》 2012年第6期269-273,共5页

摘　　要： 研究磁共振图像对比度增强的问题。常用的磁共振图像增强算法在增强对比度的同时引起图像噪声过放大。为提高图像局部区域的清晰度和解决图像噪声过放大的问题,提出一种利用Contourlet变换的非线性图像对比度增强算法。首先利用Contourlet分解图像,得到子带图像;然后通过一种新的非线性增强算子改变变换域各子带的系数,有效地对图像强弱边缘进行不同程度的增强,最后通过Contourlet逆变换得到增强图像,能够在增强磁共振图像微小细节的同时避免噪声增大。仿真结果表明,方法适用于磁共振图像局部区域对比度增强,可改善图像视觉效果,有利于医生分析和诊断病情。 Studying magnetic resonance image contrast enhancement. Common magnetic resonance image en- hancement algorithm can cause image noises over - enlarging when its contrast has been enhanced. To improve the image definition of local region and solve the problem of noise over - enlarging, a nonlinear image contrast enhance- ment algorithm based on contour transform was put forward in this paper. Firstly, it obtaines subband image after the decomposition of magnetic resonance image. Then, the algorithm changes the coefficients of contour transform domain through a new nonlinear enhance operator. The method can enhance tiny details of the magnetic resonance image and avoid noise over - enlarging. The simulation results show that the method is suitable for local region contrast enhance- ment of magnetic resonance image and improved image visual effect, which is beneficial to analyze and diagnose dis- eased.

关 键 词： 对比度增强 轮廓波变换 磁共振图像 非线性

领　　域： [自动化与计算机技术] [自动化与计算机技术]