摘要
医学图像自动特征提取是辅助医生进行快速诊断病情和进行基于内容的医学图像检索的关键技术。本文介绍了医学图像的分割方法,利用小波变换对线性矩进行分析,使计算量和数据量大大减少,提高了效率。
Automatic feature extraction for medical image is an key technique for fast diagnosis and CBIR （Content-based Image Retrieval）. Firstly, the method of image segmentation was introduced, then analyzing the linear matrix with wavelet transform makes the amount of calculation and data quantity reduced, and increases the efficiency.
出处
《电脑编程技巧与维护》
2009年第20期106-107,共2页
Computer Programming Skills & Maintenance
关键词
医学图像
小波变换
图像识别
分割
特征提取
Medical Image
Wavelet Transform
Image Recognition
Segmentation
Feature Extraction
