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基于分形参数的B超图像纹理分析
Texture Analyses of B Scan Image Based on Fractral Dimension
【摘要】 利用离散分形布朗随机场(DFBRF)模型对B超图像的分形特征进行了分析和讨论.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.
【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.
【Key words】 fractal; fractal dimension; range scale; discrete fractional Brownian random field;
- 【文献出处】 西安交通大学学报 ,JOURNAL OF XI’AN JIAOTONG UNIVERSITY , 编辑部邮箱 ,1999年01期
- 【分类号】TP391.41
- 【被引频次】15
- 【下载频次】108