X-ray contraband package detection method and device based on feature map re-weighting

Abstract

The invention discloses an X-ray contraband package detection method and device based on feature map re-weighting. By constructing an X-ray contraband training set, an image feature map, a region of interest feature map and a class attention feature map are sequentially obtained, and the The class attention feature map re-weights the feature map of the region of interest, obtains a single-dimensional feature vector, determines the predicted categories of various types of contraband, and adjusts the feature extraction network, meta-feature extractor and classification regression used in the next training process. network, return to execute the process of sequentially acquiring the image feature map, the region of interest feature map, and the class attention feature map, and re-input the X-ray contraband training set into the adjusted feature extraction network for iterative training until the number of training times is greater than or equal to the preset The number of iterations is determined, the contraband detector is determined, and the package to be detected is input into the contraband detector to obtain the contraband position and contraband category output by the contraband detector, so as to save manpower and material resources and reduce the detection cost.

Description

technical field [0001] The present invention relates to the technical field of intelligent detection, in particular to an X-ray contraband package detection method, device, computer equipment and storage medium based on feature map re-weighting. Background technique [0002] X-ray images are images obtained by X-rays penetrating the object to be detected and rendering different colors according to the different densities of the object. It is often used in security inspections to identify contraband. Compared with ordinary images, X-ray images only have color and shape information, and the detection and identification of objects is more difficult. Therefore, X-ray contraband detection has always been a difficult problem to be solved. [0003] Especially in recent years, the development of the transportation industry and the rapid industry has caused huge pressure on baggage / express security inspection. In order to ensure the safety of public areas, before taking large vehicl...

AI Technical Summary

Problems solved by technology

For safety reasons, traditionally, professional security inspectors are required to manually observe the X-ray image of each package next to the X-ray machine to confirm whether the package contains contraband, which requires a lot of manpower and material resources, and the work efficiency increases with the security personnel. The fatigue degree increases and decreases, and the cases of missed detection and false detection will increase accordingly

[0004] At present, the main method of identifying contraband in parcels is mainly to rely on manpower for security inspection, which usually requires several groups of staff to work in turn, and each group includes at least one professional security inspector and two sorting personnel, so that the traditional package detection scheme exists. The problem of low efficiency and high cost

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