Sajid Ullah, Khan and Wang, Yin Chai and Najeeb, Ullah and Engr., Abdul Rauf (2016) A Close Assessment of X-ray Image Enhancement Techniques for Contraband Detection. International Journal of Computer Science and Information Security, 14 (8). pp. 282-286. ISSN 1947-5500
|
PDF
A Close Assessment of X-ray Image Enhancement Techniques for Contraband Detection (abstract).pdf Download (210kB) | Preview |
Abstract
X-ray image enhancement plays a vital role in the detection of explosive or illicit objects. X-ray image viewability is still a challenging task. To overcome this task, in this paper, we compare both new and old techniques of X-ray image enhancement for baggage inspection system on the basis of nine statistical measures of X-ray image viewability. From the experiments, it is concluded that some new techniques outclass the recent X-ray image enhancement methods that are regularly used at airports. From the viewability measurements, it is concluded that airport security baggage inspection system must be updated with our suggested enhancement approaches.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Deep Boost, Histogram Equalization, Crystal Clear, Viewability measures, X-ray Image Enhancements, research, Universiti Malaysia Sarawak, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education |
| Subjects: | T Technology > T Technology (General) |
| Divisions: | Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology Faculties, Institutes, Centres > Faculty of Computer Science and Information Technology Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology |
| Depositing User: | Karen Kornalius |
| Date Deposited: | 10 Oct 2016 06:35 |
| Last Modified: | 10 Oct 2016 06:35 |
| URI: | http://ir.unimas.my/id/eprint/13793 |
Actions (For repository members only: login required)
 |
View Item |
