Abstract:
A method and device for reconstructing a CT image and a storage medium are disclosed. CT scanning is performed on an object to be inspected to obtain projection data on a first scale. Projection data on a plurality of other scales is generated from the projection data on the first scale. Projection data on each scale is processed on the corresponding scale by using a first convolutional neural network to obtain processed projection data, and a back-projection operation is performed on the processed projection data to obtain a CT image on the corresponding scale. CT images on the plurality of scales are fused to obtain a reconstructed image of the object to be inspected.
Abstract:
A semiconductor may include a semiconductor detection material including a first side and a second side opposite to each other, a cathode disposed on the first side, and an anode disposed on the second side. The anode includes an array of pixel anodes defining detection pixels of the semiconductor detector, and intermediate anodes disposed between adjacent ones of the pixel anodes. According to an embodiment of the present disclosure, it is possible to achieve signal correction to improve the energy resolution and the signal-to-noise ratio of the detector.
Abstract:
Disclosed are methods and apparatuses for creating a 3-Dimensional model for objects in an inspected luggage in a CT system. The method includes acquiring slice data of the luggage with the CT system; interpolating the slice data to generate 3D volume data of the luggage; performing unsupervised segmentation on the 3D volume data of the luggage to obtain a plurality of segmental regions; performing isosurface extraction on the plurality of segmental regions to obtain corresponding isosurfaces; and performing 3D surface segmentation on the isosurfaces to form a 3D model for the objects in the luggage. The above solutions can create a 3D model for objects in the inspected luggage in a relatively accurate manner, and thus provide better basis for subsequent shape feature extraction and security inspection, and reduce omission factor.
Abstract:
A raman spectrum measuring method for drug inspection is provided, comprising: measuring raman spectrum of a sample to be inspected to acquire an original raman spectrum curve of the sample; determining whether the original raman spectrum curve has a characterizing portion, and if not, measuring a mixture of the sample and an enhancing agent to acquire an enhanced raman spectrum curve of the sample; and if the original raman spectrum curve of the sample to be inspected has a characterizing portion, comparing the original raman spectrum curve of the sample with data in an original raman spectrum database of a drug to determine whether the sample contains the drug, otherwise, comparing the enhanced raman spectrum curve of the sample with data in an enhanced raman spectrum database of the drug to determine whether the sample to be inspected contains the drug.
Abstract:
A raman spectroscopy method of measuring melamine contents in dairy products having different matrixes. The method includes: (a) establishing a database of characteristic curves of dairy products having different matrixes; (b) taking several copies of the dairy products having one certain unknown matrix and adding melamine standard solutions having different concentrations therein, to obtain a series of dairy product samples in which the relative concentrations of the melamine are known; (c) performing raman spectrum testing analysis and obtaining corresponding characteristic peak intensities to obtain a slope of the characteristic curve showing variation of the characteristic peak intensities with the relative concentrations of the melamine; (d) searching the database of step (a) using the slope of the characteristic curve of the dairy product samples to find a matching characteristic curve, and (e) calculating concentration of melamine in the dairy products by using the matched characteristic curve and the characteristic peak intensity.
Abstract:
Methods for extracting a shape feature of an object and security inspection methods and apparatuses. Use is made of CT's capability of obtaining a 3D structure. The shape of an object in an inspected luggage is used as a feature of a suspicious object in combination with a material property of the object. For example, a false alarm rate in detection of suspicious explosives may be reduced.
Abstract:
An inspection method and system for inspecting whether there is any liquor in goods is provided. The method includes: acquiring a radiation image of goods being inspected; processing on the radiation image to obtain an ROI; inspecting on the ROI using a liquor goods inspection model to determine if the ROI of the radiation image contains liquor goods. The above solution performs liquor inspection on scanned images of goods, especially containers, so as to intelligently assist the image inspectors.
Abstract:
An inspection method and system for inspecting whether there is any liquor in goods is provided. The method includes: acquiring a radiation image of goods being inspected; processing on the radiation image to obtain an ROI; inspecting on the ROI using a liquor goods inspection model to determine if the ROI of the radiation image contains liquor goods. The above solution performs liquor inspection on scanned images of goods, especially containers, so as to intelligently assist the image inspectors.
Abstract:
The present disclosure provides a semiconductor detector. The semiconductor detector comprises: a detector crystal including a crystal body, an anode and a cathode; a field enhance electrode for applying a voltage to the detector crystal; an insulating material disposed between the field enhanced electrode and a surface of the detector crystal. The semiconductor detector further comprises a field enhanced electrode circuit board having a bottom connection layer in contact with the surface of the detector crystal and a top layer opposite to the bottom connection layer, wherein the top layer is connected to a high voltage input terminal of the semiconductor detector, and an insulating material is provided between the bottom connection layer and the detector surface of the detector crystal.
Abstract:
An inspection device and a method for detecting a firearm are disclosed. X-ray inspection is performed on an inspected object to obtain a transmission image. A plurality of candidate regions in the transmission image are determined using a trained firearm detection neural network. The plurality of candidate regions are classified using the firearm detection neural network to determine whether there is a firearm included in the transmission image. With the above solution, it is possible to determine more accurately whether there is a firearm included in a container/vehicle.