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基于小波变换的近红外图像特征提取方法
引用本文:胡学娟,阮双琛,刘承香.基于小波变换的近红外图像特征提取方法[J].深圳大学学报(理工版),2006,23(2):102-106.
作者姓名:胡学娟  阮双琛  刘承香
作者单位:深圳大学工程技术学院,深圳,518060
摘    要:提出用二次样条小波对近红外数字图像进行特征边缘提取,与传统边缘检测算子进行比较,并在Windows 平台的VC + +6.0集成开发环境下编程实现.实验结果显示,当目标对比度下降到一定程度时,常规算子无法提取出弱目标,利用二次样条小波变换能够将近红外图像中弱目标的特征边缘提取出来,效果较好,且算法简单,效率较高.

关 键 词:二次样条小波  滤波器  边缘提取  近红外图像
文章编号:1000-2618(2006)02-0102-05
收稿时间:2006-01-14
修稿时间:2006年1月14日

An approach of near infrared image feature extraction based on wavelet transform
HU Xue-juan,RUAN Shuang-chen,LIU Cheng-xiang.An approach of near infrared image feature extraction based on wavelet transform[J].Journal of Shenzhen University(Science &engineering),2006,23(2):102-106.
Authors:HU Xue-juan  RUAN Shuang-chen  LIU Cheng-xiang
Affiliation:College of Engineering and Technology Shenzhen University Shenzhen 518060 P. R. China
Abstract:Considering that image edge extraction is a fundamental step in many images processing technology, this paper concentrates on proposing an edge extraction algorithm of near infrared image based on 2-spline wavelet transform. This algorithm is compared with Roberts, Sobel, Laplaeian and Canny operator. The experimental results show that when target contrast is reduced to a certain level, traditional operator cannot identify faint target while 2-spine wavelet transform has a better target edge identification effect. This algorithm is simple and effieient.
Keywords:2-spline wavelet  filter  edge extraction  near infrared image
本文献已被 CNKI 维普 万方数据 等数据库收录!
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