Exposure Fusion for Concealed Weapon Detection

被引：0

作者：

Upadhyay, Ekta M. ^{[1
]}

Rana, N. K. ^{[2
]}

机构：

[1] JJT Univ, Dept Comp Sci, Jhunjhunu, Rajasthan, India

[2] Theem Coll Engn, Bombay, Maharashtra, India

来源：

2014 2ND INTERNATIONAL CONFERENCE ON DEVICES, CIRCUITS AND SYSTEMS (ICDCS) | 2014年

关键词：

Image fusion; Homomorphic filter; image entropy; image blending; multi-exposure; visual image; IR image; concealed weapon detection (CWD); IMAGE FUSION; PERFORMANCE;

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：

In recent years there has been a need to improvise the security of the general public as well as the safety of public assets like airports and buildings for which, the biggest hurdle is detection of weapons concealed underneath a person's clothing. It is desirable sometimes to be able to detect concealed weapons from a standoff distance, especially when it is impossible to arrange the flow of people through a controlled procedure. Therefore, we propose a novel algorithm to generate one multi exposed - multi modal image from a set of visual images with multiple exposures and a set of infrared images with multiple exposures. The method employs homomorphic filter, entropy of blocks and blending approach for image fusion. Experiments were performed on different sets of multi exposed images by varying the block size and the blending parameter which shows that the proposed method outperforms the results obtained without homomorphic filter.

引用

页数：6