摘要
为了研究人体组织超声图象的局部特征,并为进行人体组织定征研究提供新的参数,提出了一个分析超声图象局部分形指数的新方法-局部分形指数小波分析法LFWAM(LocalFractalScaleWaveletAnalysisMethod)。应用此法研究了人体肝脏组织超声图象分形体的构造规则;进行了局部分形指数的分析。验证了LFWAM法分析肝脏超声图象局部特性的有效性,得出了局部分形指数更能全面、细致地刻画肝脏组织超声图象分形特征的结论,为进而研究局部病变的识别与图象的分割提供了基础。
In order to study the local characteristics of human tissue ultrasonic images, and provide the new parameter of ultrasonic tissue characterization, This paper presents a new local fractal scale wavelet transform analysis method. We illustrate the efficiency of this 'mathematical microscope' to reveal the construction rule of human liver ultrasonic images fractals. Also we analyze and discuss the local fractal scale of human liver ultrasonic images. The results show that this method is effective for analysis the local characteristics of human liver ultrasonic images, and provide a more useful way for recognizing and segmenting ultrasonic images.
出处
《生物物理学报》
CAS
CSCD
北大核心
1999年第2期345-350,共6页
Acta Biophysica Sinica
关键词
超声图象
分维
小波变换
局部分形指数
肝脏
Ultrasonic Image Fractal Dimension Wavelet Transform Local Fractal Scale