摘要
超声医学成像作为主要的医学影像技术之一,因其对人体无伤害、实时、价格便宜和使用方便等优点已广泛应用于临床。然而,在成像过程中形成的特有的图像斑点,使得对比度弱的人体软组织中的正常组织和病变组织不易区分,给临床诊断和医学研究带来不便。针对医学超声图像的特点,在研究了几种常用滤波方法后,提出一种自适应中值滤波和形态滤波结合的新方法,并做了实验验证。实验方法是:首先对所选择的医学超声图像施加瑞利噪声,然后采用中值滤波、自适应中值滤波的方法对被污染的图像进行去噪处理,接下来先采用自适应中值滤波对图像进行预处理,抑制斑点噪声,保留必要细节,再采用数学形态学方法进行二次滤波和增强对比度,进一步改善图像质量。最后从去噪图像和评价指标上对三种滤波去噪方法进行了比较。实验证明,新方法优于其他方法。
As a major medical imaging technology, medical ultrasound imaging with its many advantages such as no harm to the human body, real-time, cheap and easy to use, is widely used in clinic. But the ultrasonic imaging ＂ speckle ＂ noise makes it difficult to distinguish between normal tissue and pathological tissue. According to the character of noise in the medical ultrasonic image, a new method of the medical ultrasonic imaging filter based on mathematics morphology and adaptive filtering is proposed after analysis of ＂ speckle ＂ noise and general filter, and an experiment is made to validate. The experimental method is as follows： firstly the Rayleigh noise is imposed on the original image, and then the median filter and the adaptive median filter axe used on the contaminated image. Secondly the morphological filter is used to enhance the contrast after pre-processing by the adaptive median filter on the image to retain the necessary details. Finally, the three noise filtering methods are compared from the images denoising and evaluation And the results indicate that the new method is superior to other ones
出处
《量子电子学报》
CAS
CSCD
北大核心
2009年第1期10-15,共6页
Chinese Journal of Quantum Electronics
关键词
图像处理
超声医学
自适应中值滤波器
数学形态学
imaging processing
ultrasonic medicine
adaptive median filter
mathematical morphology
