首页 | 本学科首页   官方微博 | 高级检索  
     

基于小波变换的图像纹理特征提取方法及其应用
引用本文:李亚标,王宝光,李温温.基于小波变换的图像纹理特征提取方法及其应用[J].传感技术学报,2009,22(9).
作者姓名:李亚标  王宝光  李温温
作者单位:天津大学精密测试技术及仪器国家重点实验室,天津,300072
摘    要:针对瓷砖表面色差的在线检测问题,提出了一种基于小波变换的图像纹理特征提取方法.瓷砖图像经过预处理后,对图像各通道进行二层小波分解并提取各细节子图的能量特征.该能量信号融合了颜色和纹理的信息,将其作为区分不同色号瓷砖的特征量,并由最小距离分类器进行分类决策.实验结果表明,对比已有的研究中多采用的颜色直方图分布法,该方法能更好地反映颜色的空间分布信息,满足用户需求.

关 键 词:彩色图像处理  二维小波分解  纹理特征提取  色差  在线检测

A Method of Image Texture Feature Analysis Base on Wavelet Decomposition and its Application
LI Yabiao,WANG Baoguang,LI Wenwen.A Method of Image Texture Feature Analysis Base on Wavelet Decomposition and its Application[J].Journal of Transduction Technology,2009,22(9).
Authors:LI Yabiao  WANG Baoguang  LI Wenwen
Affiliation:LI Yabiao,WANG Baoguang,LI WenwenState Key Laboratory of Precision Measurement Technology , Instruments,Tianjin University 300072,China
Abstract:For detecting color difference of ceramic tiles on-line,a method of analyzing the textural features of image is put forward by using the wavelet decomposition.First the image of ceramic tile is pretreated.Then two level wavelet decomposition is used on the ceramic tile image,and the energy feature of each sub-graph is extracted.The energy feature will be used as a feature matrix,and it can be carried out the classfication according to minimum distance classifier.Experiments show that this mehtod can reflect...
Keywords:color Image processing  two dimension wavelet decomposition  texture feature extraction  color difference  online detecting  
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《传感技术学报》浏览原始摘要信息
点击此处可从《传感技术学报》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号