超声图像的动态滤波增强

Xiaoying Li, Dong C Liu
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引用次数: 14

摘要

提出了一种基于斑点检测的超声图像选择性动态滤波自适应增强方法。其主要思想是增强组织结构,并采用具有一定滤波特性的预定义滤波器对散斑区域进行自平滑处理。从处理窗口的直方图与从散斑区域导出的参考直方图匹配得到的相似度值来定义散斑区域的判据。相似度值大表示散斑像素需要低通滤波平滑,相似度值小表示结构像素需要高通滤波增强。所有这些滤波器都可以作为动态滤波来实现,其指标是相似度值,用于自适应平滑散斑以增强对比度或增强结构以更好地检测边缘/边界。测试图像表明,该方法可以增强组织结构,减少斑点,提高图像质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ultrasound Image Enhancement using Dynamic Filtering
This paper presents an adaptive image enhancement method through selected dynamic filtering based on speckle detection for ultrasound images. The main idea is to enhance the tissue structure and also smooth the speckle regions adoptively from pre-defined filters with certain filter characteristics. The criterion of speckle region is defined from a similarity value obtained from histogram matching between the histogram in the processing window and a reference one derived from a speckle area. Big similarity values means speckle pixels needed smoothing from lowpass filtering, and small values correspond to structure pixels which will be enhanced by highpass filters. All these filters can be implemented as dynamic filtering whose index is the similarity value for adoptively smoothing speckle for contrast enhancement or enhancing structure for better edge/boundary detection. Test images show that our new method can enhance tissue structure and also reduce speckle for better image quality.
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