查询结果:   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,2014,31(4):185 - 187,196.
中文标题
基于小波变换的多方向加权聚类颅内肿瘤图像分割方法
发表栏目
图像处理与应用
摘要点击数
650
英文标题
INTRACRANIAL TUMOUR IMAGE SEGMENTATION ALGORITHM WITH MULTI-DIRECTIONAL WEIGHTED AGGREGATION BASED ON WAVELET TRANSFORM
作 者
段娟 景万里 张楠 肖创柏 武博 Duan Juan Jing Wanli Zhang Nan Xiao Chuangbai Wu Bo
作者单位
北京工业大学计算机学院 北京 100124 首都医科大学生物医学工程学院 北京 100069    
英文单位
College of Computer Science, Beijing University of Technology, Beijing 100124, China School of Biomedical Engineering, Capital Medical University, Beijing 100069, China    
关键词
颅内肿瘤 小波变换 加权聚类 多方向
Keywords
Intracranial tumour Wavelet transform Weighted aggregation Multi-direction
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)
作者资料
段娟,硕士,主研领域:图像处理与计算机视觉,计算机图形学。景万里,硕士生。张楠,讲师。肖创柏,教授。武博,讲师。 。
文章摘要
分割MR颅内肿瘤区域后,可对病变部分进行针对性的临床治疗和处理。结合临床实际,提出一种基于小波变换的多方向加权聚类颅内肿瘤图像分割方法。通过小波变换和多方向加权聚类算法的结合,利用非线性的补偿图像轮廓来增强小波分解后的高频信号,并对低频信号做多方向的种子点选取加权聚类算法改进。实验结果表明,该算法在大大减少时间复杂度的基础上,也能有效地提高准确性。
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.
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