安庆师范学院学报（自然科学版）2016，Vol.22Issue(2)：33-38,6.DOI:10.13757/j.cnki.cn34-1150/n.2016.02.010
基于小波变换和改进的FCM算法的医学 CT图像分割法
Medical CT Image Segmentation Based on Wavelet Transform and Improved FCM Algorithm
摘要
Abstract
In order to enhance the accuracy of computer auxiliary diagnosis, a medical CT image segmentation algorithm based on wavelet transform and improved FCM algorithm is proposed .Because the traditional FCM algorithm usually run on all im-age pixels, which makes the efficiency of the algorithm reduced.On the basis of FCM algorithm, firstly this algorithm processes the image using wavelet transform, and the low frequency images by wavelet transform are inputted into FCM algorithm to obtain seg-mentation results.It not only greatly reduces the time complexity of the algorithm but also effectively suppresses image noise .Sec-ondly, the algorithm introduces the Mahalanobis distance to improve FCM_S algorithm, and the improved FCM algorithm can be more accurate to obtain medical image information .The experiments show that this algorithm significantly improves the segmenta-tion’s efficiency.关键词
FCM算法/马氏距离/图像分割/CTKey words
FCM algorithm/mahalanobis distance/image segmentation/CT分类
信息技术与安全科学引用本文复制引用
马春..基于小波变换和改进的FCM算法的医学 CT图像分割法[J].安庆师范学院学报（自然科学版）,2016,22(2):33-38,6.基金项目
安徽中医药大学自然科学基金（ ZR2013001）。 （）
