Forbidden object detection system and method based on digital image processing

Abstract

The invention discloses a forbidden object detection system and method based on digital image processing, which are used for detecting forbidden objects in an X-ray security inspection machine. The forbidden object detection method comprises the following steps of carrying out X-ray scanning on objects in the security inspection machine; carrying out median filtering, color space conversion, threshold segmentation, binary processing and contour feature extraction on scanned X-ray images; matching outlines of all the extracted objects with the outlines of the forbidden objects in a forbidden object library one by one; and carrying out automatic detection and identification on the forbidden objects according to an outline matching result, respectively marking the different kinds of forbiddenobjects, and carrying out sound-light alarm if the forbidden objects are detected. According to the system and the method, the forbidden objects in the X-ray security inspection machine can be automatically detected and identified, so that the security inspection efficiency of places such as airports, stations and the like is improved, the false detection rate of manual detection is reduced, andthe personnel cost is reduced.

Description

technical field [0001] The invention relates to the technical field of prohibited article detection, in particular to a digital image processing-based prohibited article detection system and method for an X-ray security inspection machine. Background technique [0002] The color of the X-ray scanning image of the item on the security inspection machine is mainly defined according to the chemical composition of the item. Usually, the organic matter is displayed as orange-yellow, the inorganic matter is displayed as blue, and the mixture is displayed as green. The traditional detection method of prohibited items requires fixed and strictly trained security staff to be stationed next to the security inspection machine. When the items pass through the security inspection machine, the security inspection staff needs to continuously stare at the monitor of the security inspection machine to watch the X of passengers’ luggage. The image is scanned by light, and according to the inf...

AI Technical Summary

Problems solved by technology

[0003] The disadvantages of traditional detection methods for prohibited items are: a large number of security check staff is required, which consumes a lot of manpower; the detection results are heavily dependent on the personal experience, knowledge and physical and mental state of the security check staff, and the false detection rate is high; the detection efficiency is low, resulting in The process is slow and the security queue is serious

Images