76例乳腺肿瘤超声图像预处理研究
The Research on Preprocessing for the Gray-Scale Ultrasound Breast Tumor Images of 76 Cases

DOI: 10.12677/HJBM.2015.52002, PP. 9-16

Keywords: 医学超声图像P-M斑点噪声
Medical Ultrasound Image P-M Speckle

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Abstract:

以76例乳腺肿瘤灰阶超声图像为研究对象，根据医学超声图像的特点及P-M模型的缺点，提出以图像的局部信息确定扩散门限的改进的P-M模型滤波方法，通过采用多种图像预处理算法及上述改进的P-M模型滤波法对76例乳腺肿瘤超声图像进行试验，实验结果显示，改进的P-M模型滤波方法可以更有效的滤除斑点噪声。
This paper mainly focuses on the gray-scale ultrasound breast tumor images. According to the characteristics of ultrasonic image and shortcomings of the P-M model, a modified P-M model filter with local information and spread threshold is proposed. All common pretreatment algorithms are put into experiments and a comparison is made among them. The results show that the modified P-M model filter can more effectively remove the speckle noise.

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