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

作者: 张瑞娟 , 刘 晴 :国家知识产权局专利局专利审查协作江苏中心,江苏 苏州; 刘 奇 :四川大学,四川 成都;

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

摘要:
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。

Abstract: 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.

文章引用: 张瑞娟 , 刘 晴 , 刘 奇 (2015) 76例乳腺肿瘤超声图像预处理研究。 生物医学, 5, 9-16. doi: 10.12677/HJBM.2015.52002

参考文献

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