查询结果:   郑伟,潘正勇.结合FCM和RSF模型的医学图像分割方法[J].计算机应用与软件,2014,31(2):198 - 200,204.
中文标题
结合FCM和RSF模型的医学图像分割方法
发表栏目
图像处理与应用
摘要点击数
708
英文标题
MEDICAL IMAGE SEGMENTATION METHOD COMBINING FCM WITH RSF MODEL
作 者
郑伟 潘正勇 Zheng Wei Pan Zhengyong
作者单位
河北大学电子信息工程学院 河北 保定 071002     
英文单位
College of Electronic and Information Engineering, Hebei University, Baoding 071002, Hebei, China     
关键词
图像分割 活动轮廓模型 FCM聚类 RSF模型
Keywords
Image segmentation Active contour model FCM clustring RSF model
基金项目
作者资料
郑伟,教授,主研领域:图像处理。潘正勇,硕士。 。
文章摘要
针对现有活动轮廓模型初始化敏感的缺点,提出一种新的基于区域的活动轮廓模型。该模型采用模糊c均值聚类(FCM)算法对图像进行预分割,将预分割结果二值化为种子标记矩阵,作为下一步水平集演化的初始轮廓,解决了初始化敏感问题;引用RSF(Region-Scalable Fitting)模型的局部区域项作为能量项,提高了分割灰度分布不均匀图像能力;使用高斯滤波方法正则化水平集函数,避免了重新初始化过程,提高了分割效率。实验结果表明:该模型避免了初始化,具有分割结果精确、分割效率高的特点。 ][
Abstract
Aiming at the defect of existing active contour model that it is sensitive to initialisation, we propose a new region-based active contour model in this paper. This model uses the fuzzy C-means clustering (FCM) algorithm to pre-segment the image, and binarise the results of pre-segmentation to the seed tagged matrix, which solves the problem of initialisation sensitivity; The local area item of the RSF(region-scalable fitting) model is adopted as the energy item, which improves the ability of segmenting the images with inhomogeneous grey distribution; In numerical calculation, Gaussian filtering is utilised to regularise the level set function, which prevents the process of re-initialisation and improves segmentation efficiency. Experimental results show that the proposed model prevents the re-initialisation, it has the characteristics of accurate in segmentation result and high in segmentation efficiency.
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