基于多进制小波变换的B超图像分类  

Medical Ultrasonic Image Recognition Based on Multi-Wavelet Transformation

作　　者：韩晓霞[1] 吴梅梅[1] 

机构地区：[1]河北软件职业技术学院网络工程系,河北保定071002

出　　处：《河北软件职业技术学院学报》2008年第3期59-61,共3页Journal of Hebei Software Institute

摘　　要：纹理分析是肝脏B超图像识别的重要方法,本文利用多进制小波变换提取脂肪肝和正常肝脏的纹理特征,结合空域特性对B超肝脏图像进行分类,采用自适应浮动搜索算法进行特征筛选,经实验测试,取得了较好的效果。In order to provide the science basis for making a diagnosis of fatty liver and increase the veracity, medical ultrasonic image of fatty liver and the normal liver were analyzed by the way of the multi-wavelet transformation. In this way can we get the texture Characteristic, combine the spatial domain and adapt searching method to classify them and receive good effect.

关 键 词：多进制小波 脂肪肝 B超图像 

分 类 号：TP75[自动化与计算机技术—检测技术与自动化装置]