A New Image Enhancement Based on the Fuzzy C-Means Clustering

被引：0
|
作者：
Liu, Yucheng [1 ]
Liu, Yubin [2 ]
机构：
[1] Chongqing Univ Sci & Technol, Chongqing Huxi Univ Town, Coll Elect & Informat Engn, Sch Elect & Informat Engn, Chongqing 401331, Peoples R China
[2] Panzhihua Univ, Sch Comp Sci, Panzhihua 617000, Peoples R China
来源：
PRZEGLAD ELEKTROTECHNICZNY | 2012年 / 88卷 / 3B期
关键词：
infrared image; image enhancement; algorithm; fuzzy C-means clustering;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The enhancement of the infrared dim small target image is a very important pretreatment in automatic recognition of target and infrared target tracking system. The paper proposed a new image enhancement algorithm based on the Fuzzy C-Means clustering. The algorithm conducted cluster analysis on the pixel and gray of the infrared image and increased the image gray level difference between the various objects so as to achieve the enhanced purpose for infrared small target image. The experimental results showed that this algorithm is able to enhance small target image to the maximum extent with ensuring no loss of the target information
引用
收藏
页码：1 / 4
页数：4
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