计算机科学 ›› 2017, Vol. 44 ›› Issue (12): 260-265.doi: 10.11896/j.issn.1002-137X.2017.12.047
所属专题： 医学图像
耿艳萍,郭小英,王华夏,陈磊,李雪梅
GENG Yan-ping, GUO Xiao-ying, WANG Hua-xia, CHEN Lei and LI Xue-mei
摘要： 针对很多基于模糊C均值(FCM)的图像分割算法存在对噪声敏感和分割轮廓不清晰等问题,提出一种基于小波变换图像融合算法和FCM聚类算法的MR医学图像分割算法。在图像分割系统的第一阶段,利用Haar小波多分辨率特性保持像素间的空间信息；第二阶段,利用小波图像融合算法对得到的多分辨率图像和原始图像进行融合,进而增强被处理图像的清晰度并降低噪声；第三阶段,利用改进型FCM技术对所处理的图像进行分割。在BrainWeb数据集上进行实验,与现有相关算法相比,提出的算法具有较高的分割精度,且对噪声的鲁棒性比较强,处理时间也没有明显增加。
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