摘要:
The present disclosure discloses a method of substance identification of an item to be inspected using a multi-energy-spectrum X-ray imaging system, the method comprising: acquiring a transparency related vector consisting of transparency values of the item to be inspected in N energy regions, wherein N is greater than 2; calculating distances between the transparency related vector and transparency related vectors stored in the system consisting of N transparency mean values of multiple kinds of items with multiple thicknesses in the N energy regions; and identifying the item to be inspected as the item corresponding to the minimum distance. The present disclosure is based on a multi-energy-spectrum X-ray imaging system, and proposes a method of substance identification by analyzing the multi-energy-spectrum substance identification issue.
摘要:
The present application relates to a method, apparatus and system for inspecting an object based on a cosmic ray, pertaining to the technical field of radiometric imaging and safety inspection. The method includes: recording a movement trajectory of an inspected object by using a monitoring device; acquiring information of charged particles in the cosmic ray by using a position-sensitive detector, the information of charged particles comprising trajectory information of the charged particles; performing position coincidence for the movement trajectory and the trajectory information to determine the object; performing trajectory remodeling for the charged particles according to the information of charged particles; and identifying a material inside the moving object according to the trajectory remodeling. According to the present disclosure, pedestrians who are walking and moving are inspected by using the cosmic ray, and nuclear materials, drugs and explosive materials and the like carried by human bodies may be detected.
摘要:
Disclosed is a dual-energy ray imaging method and system. The method comprises: calculating the mass thicknesses of the materials in the overlapped area of two materials by using a calibrated surface fitting method, and then decomposing a pair of original high-energy and low-energy data for this pixel into two high-low-energy data sets corresponding to the two materials, and finally calculating and acquiring the composition result of different materials for each pixel. The disclosure is especially advantageous in that the problem of error recognition of materials due to the two overlapped materials can be eliminated and the stratified imaging of multiple materials can be achieved, thereby improving the accuracy of the substance recognition and reducing the rate of false positive and false negative which is very important to the applications in the field of security check and anti-smuggling.
摘要:
A method for inspecting a container and an inspection device are disclosed. X-ray scanning is performed on the inspected container to obtain a scanned image. The scanned image is processed to obtain a region of interest. Features of texture units included in the region of interest are calculated. Local descriptions of the texture units are formed based on the features of the texture units. Distinction of each local point is calculated from a local description of each of the texture units so as to obtain a local distinct map of the region of interest. It is determined whether there is an article which is secretly carried in the inspected container using the local distinct map.
摘要:
The present disclosure discloses a method and system for identifying a part of a vehicle and a vehicle inspection system. The method includes: acquiring a vehicle body image sequence of a vehicle to be identified; reconstructing the vehicle body by using a first vehicle body reconstruction model generated through a deep learning algorithm and on the basis of the vehicle body image sequence, so as to acquire a vehicle body reconstruction image of the vehicle to be identified; and identifying a boundary identifier of the vehicle to be identified on the basis of the vehicle body reconstruction image of the vehicle to be identified.
摘要:
A method of evaluating an image quality for an imaging system and the imaging system are provided. The method may comprise: acquiring an image to be evaluated which is generated by the imaging system; extracting a plurality of sub-images from the image; obtaining a coefficient vector indicating a degree of sparsity by applying a sparse decomposition on the plurality of sub-images based on a pre-set redundant sparse representation dictionary; and performing a linear transformation on the coefficient vector so as to obtain an evaluation value for the image quality. The sparse dictionary is learned by only using a few high quality perspective images, and then the image quality is evaluated based on the sparse degree of the image which is obtained by using the sparse dictionary, thereby achieving a convenient and rapid no-reference image quality evaluation.
摘要:
Disclosed is method and apparatus for creating a statistical average model of an enamel-dentine junction. The method includes steps of: acquiring CT image data of a tooth; segmenting the CT image data to obtain a surface of an enamel-dentine junction; segmenting the obtained surface using a curvature-based clustering algorithm to remove a bottom of the enamel-dentine junction; spherical-parameterizing, by means of spherical harmonic analysis, the surface of the enamel-dentine junction after removal of the bottom; and aligning different samples of the tooth to obtain a statistical average model.
摘要:
The present disclosure relates to a fluoroscopic inspection system for automatic classification and recognition of cargoes. The system includes: an image data acquiring unit, configured to perform scanning and imaging for a container by using an X-ray scanning device to acquire a scanned image; an image segmenting unit, configured to segment the scanned image into small regions each having similar gray scales and texture features; a feature extracting unit, configured to extract features of the small regions; a training unit, configured to generate a classifier according to annotated images; and a classification and recognition unit, configured to recognize the small regions by using the classifier according to the extracted features, to obtain a probability of each small region pertaining to a certain category of cargoes, and merge small regions to obtain large regions each representing a category.
摘要:
Disclosed are a retrieving system and a retrieving method based on content of fluoroscopic images, the retrieving system comprising: a pre-classifying module, configured to pre-classify fluoroscopic images; an image content feature extracting module, configured to perform feature extraction for contents of the fluoroscopic images; an image representing module, configured to construct an image representation vector; a retrieving module, configured to construct a result of preliminary candidates; a diversified filtering module, configured to filter the result of preliminary candidates, select an image subset capable of covering a plurality of article categories, and thereby construct a diversified retrieval result; a correlation feedback regulating module, configured to receive information feedback on the retrieval result from a user, and update the retrieval model; and an interacting module, configured to display the retrieval result, and collect feedback on user's satisfaction of the retrieval result.
摘要:
The present disclosure provides method and apparatus for marking a target in a 3D image. The method include steps of: acquiring Computed Tomography (CT) image data of a scene; rendering a 3D image of the scene using ray casting based on the CT image data; removing a transparent region from the 3D image based on a fixed 2D transfer function; and marking the target in the 3D image.