Li Lin, Zhang Jinxiang, Song Zhijian
Digital Medical Research Center of Fudan University, Shanghai 200032, China.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2005 Dec;22(6):1085-9.
In this paper, a method based on fuzzy mathematics to fuse multimodality medical images was presented. The improved FCM algorithm was adopted to segment images, and automatic fuzzy redistribution algorithm to define the subject degree. 16 different combinations of image tissues and 16 context relations, 256 models altogether, were considered. The result showed that the method had the great ability of anti-error and anti-segmentation interference and had the characteristics of robustness, quickness, and accuracy.
本文提出了一种基于模糊数学的多模态医学图像融合方法。采用改进的模糊C均值(FCM)算法对图像进行分割,并采用自动模糊再分配算法确定隶属度。考虑了16种不同的图像组织组合和16种上下文关系,共256个模型。结果表明,该方法具有很强的抗错误和抗分割干扰能力,具有鲁棒性、快速性和准确性的特点。