计算机科学 ›› 2012, Vol. 39 ›› Issue (Z11): 381-383.
• 图形图像 • 上一篇 下一篇
耿佳佳,康晓东,王 昊,刘玲玲,郭 军
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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。
关键词: 卡通一纹理分解,Gabor核函数,局部分形维,多尺度分析
Abstract: A method, joined Uarbor 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 Mcycr cartoon-texture image decomposition model, describing local scale by using scale-space kernel function, measuring scale by the characteristic 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.
Key words: Cartoon-texture decomposition, Uabor kernel function, Local fractals, Multi-scale analysis
耿佳佳,康晓东,王 昊,刘玲玲,郭 军. 联合Labor和分形的医学影像图像局部特征描述[J]. 计算机科学, 2012, 39(Z11): 381-383. https://doi.org/
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