医学肝脏图像Gabor小波纹理特征研究  

ON GABOR WAVELET TEXTURE FEATURE OF LIVER IMAGE

作　　者：郭依正[1] 陈健美[1] 宋余庆[1] 朱玉全[1] 陆虎[2] 

机构地区：[1]江苏大学计算机科学与通信工程学院,江苏镇江212013 [2]江苏科技大学电子信息学院,江苏镇江212003

出　　处：《计算机应用与软件》2008年第11期44-45,79,共3页Computer Applications and Software

基　　金：国家自然科学基金项目(60572112)

摘　　要：针对肝脏图像自身特点,研究了Gabor小波纹理特征在医学肝脏图像识别中的意义,提出一种基于Gabor小波纹理特征的医学肝脏图像识别方法。实验表明:引进Gabor小波纹理特征能较好地实现医学肝脏图像识别问题;与其它典型图像识别方法对比结果验证,新方法可以取得更高的识别率。For the characteristics of the liver image, the significance of the Gabor wavelet texture feature on the medical liver image recognition is discussed, and then a medical liver image recognition algorithm based on Gabor wavelet texture feature is proposed. The experimental results show that better effect is achieved with the Gabor wavelet texture feature introduced into the medical image recognition. The experimental comparison of this method with other typical ones shows that a higher recognition rate can be achieved by the new algorithm.

关 键 词：GABOR小波 纹理特征 肝脏图像 模式识别 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] S858.31[自动化与计算机技术—计算机科学与技术]