Biased image, correction based on empirical mode decomposition

被引：0
|
作者：
Ogier, A. [1 ]
Dorval, T. [1 ]
Genovesio, A. [1 ]
机构：
[1] Inst Pasteur, Image Min Grp, Seongbuk Gu, Seoul 136791, South Korea
来源：
2007 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-7 | 2007年
关键词：
image analysis; image enhancement; image; restoration; biomedical image processing; biomedical microscopy;
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 automated analysis of images is an active field of research in image processing and pattern recognition. In many applications, the first issue is to face illuminations artifacts that can appear due to bad imaging conditions. These artifacts often have direct consequences on the efficiency of the image analysis algorithms but also on the quantitative measures. This paper presents a fully automated nonuniformity correction based on empirical mode decomposition. The performances are outlined using both synthetic and real data.
引用
收藏
页码：533 / 536
页数：4
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