Image fusion algorithm assessment based on feature measurement

被引：0
|
作者：
Zhao, Jiying [1 ]
Laganiere, Robert [1 ]
Liu, Zheng [2 ]
机构：
[1] Univ Ottawa, Sch Informat Technol & Engn, 800 King Edward Ave, Ottawa, ON K1N 6N5, Canada
[2] Natl Res Council Canada, Inst Aerosp Res, Ottawa, ON K1A0R6, Canada
来源：
ICICIC 2006: FIRST INTERNATIONAL CONFERENCE ON INNOVATIVE COMPUTING, INFORMATION AND CONTROL, VOL 2, PROCEEDINGS | 2006年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents a new metric to assess the performance of the image fusion algorithm. The proposed metric is based on image phase congruency, which provides an absolute measurement of image feature with a numeric value ranging from zero to one. By comparing the local cross-correlation of corresponding phase congruence maps of input images and fusion output, the quality of the fused result is assessable without a perfect reference. The preliminary experimental results on multi-focused image pairs demonstrate the efficiency of this approach.
引用
收藏
页码：701 / +
页数：2
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