摘要
针对现有脂肪肝计算机辅助诊断技术的不足问题,文中通过对基于多级灰度差的脂肪肝图片特征提取方法进行实验。分析了方法中血管影像的特点以及对特征提取的影响,提出一种改进的中值滤波方法,使用领域内肝脏组织影像代替血管影像,减小了血管噪声对多级灰度差特征提取的影响,对比分析了正常肝和脂肪肝多级灰度差特征,区分清楚、效果明显。
This paper presents a method for the extraction of fatty liver ultrasound image feature. Through the extraction, one can easily analyzes ultrasound images from clinical practices in fatty liver pathology. By selecting a region of interest in a B-ultrasonic image and introducing a median filter, the quality of the image is significantly im- proved. The selected image region is divided into several small regional areas. By changing the selected image gray- scale and making the average gray of these small pieces, the image features can be easily identified. The difference between abnormal and normal liver are finally identifies through multi-grade gray levels contraction. Experimental re- sults from the proposed method demonstrated its feasibility and applicability for high performance fatty liver classifica- tion.
出处
《电子科技》
2013年第3期111-115,共5页
Electronic Science and Technology
关键词
脂肪肝
血管影像
改进中值滤波
特征分析
fatty liver
vascular imaging
improved median filter
characteristics
