جستجوی مقالات مرتبط با کلیدواژه « Radiography » در نشریات گروه « میان رشته ای »

A fire extinguisher is a critical piece of safety equipment used to suppress or extinguish small fires in emergency situations to prevent large and deadly fires. This study examines the possibility of using a measurement system based on a transmitted gamma ray and a linear pixel needle detector of a vehicle cargo scanner based on gamma ray technology to inspect fire extinguishers.. The aim is to determine the effectiveness and accuracy of this approach in detecting any defects or irregularities in fire extinguishers, which would enhance the safety and reliability of these crucial emergency devices. The study involves testing the system on four different models of fire extinguishers and analyzing the results to assess its viability as an inspection method. The results were analyzed, with output in the form of images and intensity profiles recorded in one direction from the images. The findings of this research could have a significant impact on the field of fire safety. They could help to contribute to the development of more advanced and efficient inspection techniques for fire extinguishers, in conjunction with other non-destructive inspection methods. In this study, the capabilities, limitations and potential applications of a transmission gamma based imaging system for fire extinguisher inspection were investigated.The imaging unit utilized a gamma source of cesium-137 and a linear detector array. The study discusses the potential applications of this technology in the field of fire safety and its limitations. The research highlights the importance of developing more advanced and efficient inspection techniques for fire extinguishers, as well as the need for ongoing research in this field. Ultimately, this study provides valuable insights into the potential use of vehicle cargo scanner systems for the inspection of fire extinguishers, and its findings have important implications for the field of fire safety. The results provide valuable insights into the feasibility of using gamma-ray technology-based automotive cargo scanner systems and pixel linear detectors as a reliable method for fire extinguisher inspection, ultimately enhancing public safety and emergency preparedness.

Identifying the internal components of old specimens such as antique guns is very important to restoration experts in terms of the internal design and their connections. It is also important to check the safety of the weapon in terms of whether it is full or empty or how the cartridges are positioned. In this case study, radiography testing was used to investigate the condition of two antique guns, revolver and colt. Image processing techniques based on the curvelets was used to for better evaluation of the radiographs. The results show that radiography provides good information in revealing the internal structure and the parts arrangements in the two weapons. Their processed images also provide more detailed and accrued information. Experts have confirmed the radiographic information in the two guns and their internal structure and defects and and also confirmed the efficiency of the “curvelet” wavelet method for the definition increasing of the images up to 25%.

Art paintings are valuable cultural assets in any country that they are always threatened by dangers such as rupture, scratches, and loss of pigments. Natural disasters, irresponsible handling, exposure to light and temperature changes are all dangers factors. Various non-destructive methods such as radiography testing (RT) and ultraviolet (UV) inspection can be used to identifying detect the location of defects without any damage the paintings. The radiography testing recognized hidden patterns and deep defects and the general structure of the painting due to the penetration of X-rays to the lower surfaces. In the ultraviolet inspection, information about scratches and surface defects is obtained, depending on the type and material of paint used. Images of both methods provide excellent information to restoration experts, but problems such as blurring images of the RT and UV inspection darkening of some colors under ultraviolet light make it difficult to identify the defect regions. It is appropriate to use image processing techniques as an auxiliary tool to increase the contrast of the image. In this research, the Gabor filter has been used to increase the quality of the RT and UV images and reduce the blur of images; The Gabor filter use an automatic threshold level based on the deviation and mean pixel information of the images. Images reconstructed by the Gabor filter are efficient in identifying hidden designs and the location of defects.

Fractures and damages can be resulted from physical stresses in the flawed parts of an aircraft. The exact detection of internal defects is possible by radiography testing. The determination of the defects locations by the experts depends on the accuracy, skill and quality of the radiographs. Many of the produced images by industrial radiography are not clear, and it is difficult to accurately detect their defects; hence, the processing methods can help to better investigation of the defects. These images suffer from some opaqueness due to the inherent dispersion of X-rays. In this study, a non-local mean method based on thedetection of similar pixels in a neighboring area is used to identify corrosion areas. In the method, the image is split into smaller windows and the similar pixel is found on these parts. The results of the method show that, due to the lack of noise function in radiographic images, the background elimination method is more suitable for this algorithm. In this research, the large amount of standard deviation of the noise is considered and background is extracted, the obtained image was reduced from the original radiographic image. The reconstructed image has sharp edges that more clearly indicates the defect area. The evaluation of the results by radiography experts showed that this method has the efficiency to detect defects