基于小波融合技术的医学图像增强方法

Method of medical image enhancement based on wavelet fusion

为了改善医学图像质量,在分析小波变换原理的基础上,根据医学图像的成像特征,提出了一种基于小波融合技术的医学图像增强方法。首先,对待增强图像进行多层小波变换处理,获取各个频率的小波系数。然后分别对各频率系数进行相应的处理后,进行小波重构并进行对比度增强处理,获得增强图像1;同时对待增强图像进行对数变换和对比度拉伸处理,获得增强图像2。最后将增强图像1和增强图像2变换至小波域进行图像融合处理,以获得最终的增强图像。结果表明:本文提出的增强方法具有明显的增强效果。该增强方法能有效提高医学图像的对比度,增强边缘细节信息,突出病灶点的位置,达到较好的增强效果,为医疗工作者观察病症提供更加清晰准确的依据。

In order to improve the quality of ultrasound image, based on the wavelet transform principle, according to the imaging feature of medical image,a method of medical image enhancement based on wavelet fusion is proposed. Firstly, original image is processed by multi-layer wavelet transform to get each frequency of wavelet coefficients. Then frequency coefficients which are processed respectively are used to do wavelet reconstruction and contrast enhancement and the enhanced imagel is gotten. At the same time original image is processed by logarithmic transformation and contrast stretching to get enhanced image 2. Finally,enhanced image 1 and enhanced image 2 are processed by wavelet fusion in wavelet domain to acquire the final enhanced image. The result shows that the proposed method has obvious enhancement effect. The method can effectively enhance the contrast of the medical image, enhance the detail information of the edge and give prominence to position of focal point to achieve better effect, which provides more clear and accurate base for medical workers.