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基于分形参数的B超图像纹理分析
引用本文:曹庆年,杜慧洁,卞正中.基于分形参数的B超图像纹理分析[J].西安交通大学学报,1999,33(1):26-29.
作者姓名:曹庆年  杜慧洁  卞正中
作者单位:西安交通大学,710049,西安
摘    要:利用离散分形布朗随机场模型对B超图像的分布特征进行顾分析和讨论。鉴于一般的图像不是完全的分形体,文中给出了计算分维数的尺度范围公式,根据上述模型和尺度范围公式,对正常肝脏和有癌变肝脏的两组B超图像的分维数进行了计算,结果表明在未考虑尺度范围时两组图像的分维数差别不大;而考虑了尺度范围时两幅图像的分维数就有明显的差别,即正常肝脏图像的分维数大于有癌变肝脏图像的分维数。

关 键 词:分形维数  纹理分析  B超图像  超声波诊断
修稿时间:1998-01-06

Texture Analyses of B Scan Image Based on Fractral Dimension
Cao Qingnain,Du Huijie,Bian Zhengzhong.Texture Analyses of B Scan Image Based on Fractral Dimension[J].Journal of Xi'an Jiaotong University,1999,33(1):26-29.
Authors:Cao Qingnain  Du Huijie  Bian Zhengzhong
Abstract:The fractal feature of the B scan images is analyzed and discussed using the discrete fractional Brownian random field (DFBRF) model. Since a general image is not a complete fractal object, a scale range formula is used to calculate fractal dimension. According to the DFBRF model, the fractal dimensions of two groups of B scan images are computed. When a scale range is considered, fractal dimensions of two groups of B scan images show an appreciable difference. That is, the fractal dimension of an image for a normal liver is higher than that of a liver cancer. If the scale range is not taken into consideration the difference is small.
Keywords:fractal  fractal dimension  range scale  discrete fractional Brownian random field
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