摘要
基于内容的检索技术就是直接根据描述媒体对象内容的各种特征进行检索,它的研究目标是提供在没有人参与的情况下能自动识别或理解图像重要特征的算法。本文介绍了基于Gabor滤波器和Gabor小波变换提取纹理特征的分析方法,以及对Gabor小波进行了高斯归一化以提高对图像检索的速度和准确度。
Content-based image retrival is a technique to retrieve related images according to their content information.Its goal is to provide a mechanism that can automatically recognize or understand important features of an image.This text introduced Gabor flher, Gabor Wavelet and the method of Gaussian normalization,basing on these to describe the texture feature and dealing Gabor Wavelet with Gabor Wavelet to increase the speed and the accurate degree.
出处
《现代计算机》
2006年第9期90-91,97,共3页
Modern Computer
关键词
纹理
GABOR
高斯归一化
Texture Feature
Gabor
Gaussian Normalization