Comparative Study on Infrared Image De-noising Based on Matlab

被引：0
|
作者：
Qi, Chao [1 ]
Cui, Suixing [2 ]
Zhou, Zhiyu [3 ]
机构：
[1] Harbin Inst Technol, Sch Elect Engn & Automat, Harbin 150001, Hlj, Peoples R China
[2] Harbin Univ Sci & Technol, Harbin 150080, Hlj, Peoples R China
[3] North China Elect Power Univ, Beijing 102206, Peoples R China
来源：
INTELLIGENT COMPUTING FOR SUSTAINABLE ENERGY AND ENVIRONMENT | 2013年 / 355卷
关键词：
Infrared Image; algorithm; mage Processing; Matlab;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
As the significant link of the image preprocessing, image de-noising has an effect on subsequent research work that cant be ignored. Infrared image de-noising based on the Matlab digital image processing environment is studied. The infrared image with different noises by different algorithms, such as average filtering, median filtering, multi-image average de-noising algorithm, low pass filtering and wavelet transform de-noising algorithm, are analyzed and processed. At last, via analyzing these algorithms for different noises and their owe characteristics comparatively, a suitable and effective de noising algorithm for the infrared image of electric power transmission line fault is found.
引用
收藏
页码：66 / 75
页数：10
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