一种图像检索中纹理特征提取的方法。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。-An image retrieval texture feature extraction methods. This article based on Gabor filters and Gabor wavelet transform to extract texture feature analysis me

在深入研究主动形状模型(Active Shape Model，ASM)的基础上，提出了一种在AsM 中结合特征点 的邻域Gabor信息进行局部纹理建模的方法，并改进了搜索策略-In-depth study of active shape model (Active Shape Model, ASM), based on A combination of feature points in the AsM

对具高噪声和低对比度三维图像的识别和分割算法进行了研究。基于活动轮廓模型,用Gabor变换提取图像的纹理特征,根据统计学信息假设,通过偏微分方程水平集和窄带方法求解,获得较基本活动轮廓的算法分割更光滑精确的物体轮廓-To a high noise and low contrast 3 d image recognition and segmentation algorithm was studied. Based on the active contour model, with Gabor t

利用Gabor提取图像的纹理特征用于图像检索。-Gabor extract image texture features for image retrieval.