计算机应用与软件Issue(4)：185-187,196,4.DOI:10.3969/j.issn.1000-386x.2014.04.047
基于小波变换的多方向加权聚类颅内肿瘤图像分割方法
INTRACRANIAL TUMOUR IMAGE SEGMENTATION ALGORITHM WITH MULTI-DIRECTIONAL WEIGHTED AGGREGATION BASED ON WAVELET TRANSFORM
摘要
Abstract
Targeted clinical therapy and treatment can be applied in the lesion part after the segmentation is made on MR intracranial tumour area.With clinical practice,we propose a wavelet transform-based intracranial tumour segmentation algorithm with multi-directional weighted aggregation.Through the combination of wavelet transform and multi-directional weighted aggregation algorithm,it enhances the high-frequency signal decomposed with wavelet by using a non-linear compensation image contours,and improves the low-frequency signals by the multi-directional weighted aggregation algorithm with seed point selection.Experimental results show that on the basis of greatly reducing the time complexity,the proposed algorithm can effectively improve the accuracy.关键词
颅内肿瘤/小波变换/加权聚类/多方向Key words
Intracranial tumour/Wavelet transform/Weighted aggregation/Multi-direction分类
信息技术与安全科学引用本文复制引用
段娟,景万里,张楠,肖创柏,武博..基于小波变换的多方向加权聚类颅内肿瘤图像分割方法[J].计算机应用与软件,2014,(4):185-187,196,4.基金项目
国家自然科学基金项目（61272255）；北京市教委科技项目（KM201010005011，KM201310025009）。 （）
