A GRADIENT-BASED HYBRID IMAGE FUSION SCHEME USING OBJECT EXTRACTION

被引：7

作者：

Ghantous, Milad ^{[1
]}

Ghosh, Soumik ^{[1
]}

Bayoumi, Magdy ^{[1
]}

机构：

[1] Univ Louisiana Lafayette, Ctr Adv Comp Studies, Lafayette, LA 70504 USA

来源：

2008 15TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-5 | 2008年

关键词：

Image fusion; Multi-resolution decomposition; object Extraction; surveillance Systems;

D O I：

10.1109/ICIP.2008.4712001

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a new hybrid image fusion scheme that combines features of pixel and region based fusion, to be integrated in a surveillance system. In such systems, objects can be extracted from the different set of images due to background availability, and transferred to the new composite image with no additional processing usually imposed by other fusion approaches. The background information is then fused in a multi-resolution pixel-based fashion using gradient-based rules to yield a more reliable feature selection. According to Piella and Petrovic quantitative evaluation metrics, the proposed scheme exhibits a superior performance compared to existing fusion algorithms.

引用

页码：1300 / 1303

页数：4

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