Study of Bomb Technician Threat Identification Performance on Degraded X-ray Images

Author(s):  
Jack L. Glover ◽  
Praful Gupta ◽  
Nicholas G. Paulter Jr. ◽  
Alan C. Bovik

Portable X-ray imaging systems are routinely used by bomb squads throughout the world to image the contents of suspicious packages and explosive devices. The images are used by bomb technicians to determine whether or not packages contain explosive devices or device components. In events of positive detection, the images are also used to understand device design and to devise countermeasures. The quality of the images is considered to be of primary importance by users and manufacturers of these systems, since it affects the ability of the users to analyze the images and to detect potential threats. As such, there exist national standards that set minimum acceptable image-quality levels for the performance of these imaging systems. An implicit assumption is that better image quality leads to better user identification of components in explosive devices and, therefore, better informed plans to render them safe. However, there is no previously published experimental work investigating this. Toward advancing progress in this direction, the authors developed the new NIST-LIVE X-ray improvised explosive device (IED) image-quality database. The database consists of: a set of pristine X-ray images of IEDs and benign objects; a larger set of distorted images of varying quality of the same objects; ground-truth IED component labels for all images; and human task-performance results locating and identifying the IED components. More than 40 trained U.S. bomb technicians were recruited to generate the human task-performance data. They use the database to show that identification probabilities for IED components are strongly correlated with image quality. They also show how the results relate to the image-quality metrics described in the current U.S. national standard for these systems, and how their results can be used to inform the development of baseline performance requirements. They expect these results to directly affect future revisions of the standard.

2003 ◽  
Author(s):  
Norbert K. Strobel ◽  
Benno Heigl ◽  
Thomas M. Brunner ◽  
Oliver Schuetz ◽  
Matthias M. Mitschke ◽  
...  

Author(s):  
Григорий Викторович Зябкин ◽  
Сергей Алексеевич Половков ◽  
Александр Эдуардович Гончар ◽  
Владислав Николаевич Слепнев

Основными средствами локализации нефтяных разливов в акваториях являются боновые заграждения. Несмотря на их повсеместное использование, в течение долгого времени отсутствовал национальный стандарт, регламентирующий требования к данному виду оборудования. Соответствующий стандарт - ГОСТ Р 58190-2018 - был введен в действие 1 апреля 2019 года. Основой для его создания стал нормативный документ ПАО «Транснефть», доработанный с учетом анализа зарубежного опыта нормирования требований к боновым заграждениям, опыта эксплуатации бонов морских тяжелых, состояния рынка данного вида оборудования, используемых материалов и технологий производства. ГОСТ Р 58190-2018 впервые определил боны морские тяжелые как отдельный класс боновых заграждений, установил и закрепил на национальном уровне требования к ним, что надо расценивать как важный шаг в обеспечении качества данного вида оборудования. В настоящей статье авторы, принимавшие участие в разработке стандарта, представляют анализ итогов разработки и рассматривают возникшие в связи с этим проблемные вопросы. Сформулированы рекомендации с целью повышения качества деятельности в области технического регулирования. Сделан вывод о целесообразности рассмотрения вопроса о создании в перспективе национального стандарта, определяющего основные типы боновых заграждений, требования к ним, рекомендации по применению. Опыт разработки ГОСТ Р 58190-2018 может быть распространен на другие виды оборудования и использован при разработке других национальных стандартов. The basic means for the containment of oil spills in water areas are booms. Despite its common usage, for a long period of time there were no national standard regulating the requirements to this kind of equipment. Such standard, GOST R 58190-2018, became effective on April 1, 2019. The basis for its establishment was Transneft PJSC reference document, which was revised with regard to the analysis of foreign experience in standardizing the requirements for booms, experience in operating heavyweight marine booms, the state of the market for such equipment, materials and production technologies used. GOST R 58190-2018 for the first time determined heavyweight marine booms as a separate group of defense booms, established and consolidated the requirements for such equipment effective on the national level. Within the present article the authors, who took part in the standard development, set forth the analysis of the development results and consider problems related to this issue. The authors present recommendations with the purpose of increasing the quality of measures taken in the field of technical regulation. The conclusion is made whether it is practical to consider the question of creating national standard, which defines basic types of defense booms in general, the requirements and application recommendations. The experience of developing GOST R 58190-2018 can also be applied to other types of equipment and used for the development of other national standards.


2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Karen Panetta ◽  
Arash Samani ◽  
Sos Agaian

Medical imaging systems often require image enhancement, such as improving the image contrast, to provide medical professionals with the best visual image quality. This helps in anomaly detection and diagnosis. Most enhancement algorithms are iterative processes that require many parameters be selected. Poor or nonoptimal parameter selection can have a negative effect on the enhancement process. In this paper, a quantitative metric for measuring the image quality is used to select the optimal operating parameters for the enhancement algorithms. A variety of measures evaluating the quality of an image enhancement will be presented along with each measure’s basis for analysis, namely, on image content and image attributes. We also provide guidelines for systematically choosing the proper measure of image quality for medical images.


1979 ◽  
Vol 18 (10) ◽  
pp. 1951-1957 ◽  
Author(s):  
Suguru Uchida ◽  
Yoshie Kodera ◽  
Hiroshi Inatsu
Keyword(s):  

1993 ◽  
Vol 306 ◽  
Author(s):  
F. Cerrina ◽  
G.M. Wells

AbstractIn proximity X-ray lithography there is no imaging system in the traditional sense of the word. There are no mirrors, lenses or other means of manipulating the radiation to form an image from that of a pattern (mask). Rather, in proximity X-ray lithography, mask and imaging systems are one and the same. The radiation that illuminates the mask carries the pattern information in the region of the wavefronts that have been attenuated. The detector (photoresist) is placed so close to the mask itself that the image is formed in the region where diffraction has not yet been able to deteriorate the pattern itself. The quality of the image formation then is controlled directly by the interaction between the mask and the radiation field. In turn, this means that both the illumination field and the mask are critical. The properties of the materials used in making the mask thus play a central role in determining the quality of the image. For instance, edge roughness and slope can strongly influence the image by providing the equivalent of a blur in the diffraction process. This blur is beneficial in reducing the high frequency components in the aerial image but it needs to be controlled and be repeatable. The plating (or other physical deposition) process may create variation in density (and thickness) in the deposited film, that will show up as linewidth variation in the image because of local changes in the contrast; the same applies to variations in the carrier membrane. In the case of subtractive process, variations in edge profile across the mask must be minimized.The variations in material composition, thickness and density may all affect the finale image quality; in the case of the resist, local variations in acid concentration may have strong effect in linewidth control (this effect is of course common to all lithographies).Another place where materials will affect the final image quality is in the condensing system. Mirrors will exhibit some degree of surface roughness, leading to a scattered radiation away from the central (coherent) beam. For scanning systems, this is not harmful since no power is lost in the scattering process and a blur is actually created that reduces the degree of spatial coherence. Filters may also exhibit the same roughness; typically it will not affect the image formation. The presence of surface (changes of reflectivity) or bulk (impurities) defects may however strongly alter the uniformity of the transmitted beam. This is particularly true of rolled Be filters and windows, which may include contaminants of high-Z materials. Hence, the grain structure of the window plays a very important role in determining image uniformity.Finally, a seemingly minor but important area is that of the gas used in the exposure area, typically helium. The gas fulfills several needs: heat exchange medium, to thermally clamp the mask to the wafer; low-loss X-ray transmission medium; protection from reactive oxygen radicals and ozone formation. Small amounts of impurities (air) may have a very strong effect on the transmission, and non-uniform distributions are particularly deleterious.All these factors need to be controlled so that the final image is within the required tolerances. Unfortunately, some of these are difficult to characterize in the visible (e.g., reflectivity variations) and testing at X-ray wavelengths is necessary. Although these obstacles are by no means unsurmountable, foresight is necessary in order to deliver a functional X-ray lithography process.This work was supported by various agencies, including ARPA/ONR/NRL and the National Science Foundation.


2012 ◽  
Vol 2 (8) ◽  
pp. 43-51 ◽  
Author(s):  
Siti Arpah Ahmad ◽  
Mohd Nasir Taib ◽  
Noor Elaiza Abdul Khalid ◽  
Haslina Taib

Sign in / Sign up

Export Citation Format

Share Document