A knowledge-based framework for image enhancement in aviation security

被引：11
|
作者：
Singh, M [1 ]
Singh, S [1 ]
Partridge, D [1 ]
机构：
[1] Univ Exeter, Dept Comp Sci, Exeter EX4 4QF, Devon, England
来源：
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS | 2004年 / 34卷 / 06期
关键词：
aviation security; image analysis; image viewability; knowledge-based framework; neural networks; X-ray;
D O I：
10.1109/TSMCB.2004.835077
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The main aim of this paper is to present a knowledge-based framework for automatically selecting the best image enhancement algorithm from several available on a per image basis in the context of X-ray images of airport luggage. The approach detailed involves a system that learns to map image features that represent its viewability to one or more chosen enhancement algorithms. Viewability measures have been developed to provide an automatic check on the quality of the enhanced image, i.e., is it really enhanced? The choice is based on ground-truth information generated by human X-ray screening experts. Such a system, for a new image, predicts the best-suited enhancement algorithm. Our research details the various characteristics of the knowledge-based system and shows extensive results on real images.
引用
收藏
页码：2354 / 2365
页数：12
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