[1]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.
 HU Xue-juan,RUAN Shuang-chen,and LIU Cheng-xiang.An approach of near infrared image feature extraction based on wavelet transform[J].Journal of Shenzhen University Science and Engineering,2006,23(2):102-106.
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基于小波变换的近红外图像特征提取方法()
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《深圳大学学报理工版》[ISSN:1000-2618/CN:44-1401/N]

卷:
第23卷
期数:
2006年2期
页码:
102-106
栏目:
土木建筑工程
出版日期:
2006-04-30

文章信息/Info

Title:
An approach of near infrared image feature extraction based on wavelet transform
文章编号:
1000-2618(2006)02-0102-05
作者:
胡学娟阮双琛刘承香
深圳大学工程技术学院,深圳 518060
Author(s):
HU Xue-juan RUAN Shuang-chen and LIU Cheng-xiang
College of Engineering and Technology, Shenzhen University, Shenzhen 518060, P. R. China
关键词:
二次样条小波滤波器边缘提取近红外图像
Keywords:
2-spline wavelet filter edge extraction near infrared image
分类号:
TP 317.4
文献标志码:
A
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 W indows 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 .
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 - splinewavelet transform. This algorithm is compared with Roberts , Sobel , Laplacian 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 efficient.
更新日期/Last Update: 2015-06-26