交通信息与安全Issue(2)：31-38,8.DOI:10.3963/j.issn1674-4861.2015.02.005
基于多特征的纹理特征提取方法研究与应用
Research and Application of Texture Feature Extraction Based on Multi-features
摘要
Abstract
Texture is a significant visual feature which is commonly used to identify and distinguish the image .. This paper summarized and analyzed the current common method of texture feature extraction ,including Gray Level Co‐occurrence Matrix (GLCM ) ,Local Binary Pattern (LBP) and Discrete wavelet transform (DWT ) .With the weight of configuration parameters ,a new texture extraction method of multi‐features is proposed and implemented ,which com‐bines the three basic methods mentioned .The image texture description ability of different methods is compared through the tests on the image retrieval system .The results show that the average precision of texture feature extraction method based on multi‐feature combination increased 20% comparing to GLCM algorithm ;increased 9% comparing to LBP algo‐rithm ;increased 10% comparing to DWT algorithm ;and increased 15% comparing to Xu's texture feature extraction method when images were retrieved from Corel library .The new texture feature extraction method proposed in this paper combined the advantages of each method ,and had good rotation invariance and scale invariance .However ,it is necessary to extract the texture features of GLCM ,LBP and DWT at the same time ;the time required for the new texture feature extraction method is the sum of the three algorithms ,which limits its application in some practical cases .关键词
图像纹理/纹理特征提取/多特征融合/灰度共生矩阵/局部二值模式/小波变换/图像检索Key words
image feature/texture feature extraction/multi-feature combination/Gray Level Co-occurrence Ma-trix/Local Binary Pattern/wavelet transform/image retrieval分类
信息技术与安全科学引用本文复制引用
梅浪奇,郭建明,刘清..基于多特征的纹理特征提取方法研究与应用[J].交通信息与安全,2015,(2):31-38,8.基金项目
国家自然科学基金项目（批准号51279252）、武汉理工大学自主创新研究基金项目（批准号145211005）资助 （）
