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联合Gabor和分形的医学影像图像局部特征描述
Description for Partial Characteristics of Medical Image by Uniting Gabor and Fractal Dimension
【摘要】 提出一种联合Gabor小波和分形的医学影像肿瘤外轮廓局部结构特征描述方法。该方法基于Meyer卡通-纹理图像分解模型,利用Gabor尺度空间核函数进行局部尺度描述,以相邻尺度曲率间特征差异度量尺度,通过轮廓局部分形维提取结构不规则特征。该方法可使对医学影像肿瘤外轮廓的描述更具诊断意义。
【Abstract】 A method,joined Garbor wavelet and fractal together,used to describe the local structure feature of medical imaging tumor boundary is put forward.The method shows the following characteristics:using Meyer cartoon-texture image decomposition model,describing local scale by using scale-space kernel function,measuring scale by the characteri-stic difference in adjacent scale curvature,extracting structure irregular feature based on local fractal detention of boundary.Thus,this description method for medical imaging tumor boundary has more diagnostic significance.
【关键词】 卡通-纹理分解;
Gabor核函数;
局部分形维;
多尺度分析;
【Key words】 Cartoon-texture decomposition; Gabor kernel function; Local fractals; Multi-scale analysis;
【Key words】 Cartoon-texture decomposition; Gabor kernel function; Local fractals; Multi-scale analysis;
【基金】 国家自然科学基金(60603027);天津市应用基础研究计划(05YFJMJC11700)资助
- 【文献出处】 计算机科学 ,Computer Science , 编辑部邮箱 ,2012年S3期
- 【分类号】TP391.41
- 【被引频次】3
- 【下载频次】67