计算机工程与应用Issue(22)：190-193,218,5.DOI:10.3778/j.issn.1002-8331.1201-0394
基于改进归一化割的甲状腺肿瘤B超图像分割
Segmentation of B-type ultrasound image of thyroid tumor based on im-proved normalized cut
摘要
Abstract
In order to realize image registration and fusion of thyroid tumor B-type ultrasound image and radionuclide image and get features areas which registration of the characteristic class required, it is necessary to segment thyroid, the thyroid tumor and surrounding tissue. Some spot noises make the image poor quality in the process of formate ultrasonic images and the image is characterized with low contrast and intensity inhomogeneity. An improved normalized cut segmentation method is proposed. Anisotropic diffusion is introduced into the normalized cut, avoiding the problem of over-and incomplete segmentation, denois-ing and enhancing edge for thyroid tumor ultrasonic image by adjusting the model parameters, optimizing edge figure and weight matrix. The experimental results confirm the feasibility.关键词
图像分割/B超图像/甲状腺肿瘤/归一化割/各向异性扩散Key words
image segmentation/B-type ultrasound image/thyroid tumor/normalized cut/anisotropic diffusion分类
信息技术与安全科学引用本文复制引用
郑伟,张丽,田华,郝冬梅,吴颂红..基于改进归一化割的甲状腺肿瘤B超图像分割[J].计算机工程与应用,2013,(22):190-193,218,5.基金项目
河北省教育厅科学研究计划项目（No.2010218）；河北大学医工交叉研究中心开放基金项目（No.BM201103）。 （）
