Unlock instant, AI-driven research and patent intelligence for your innovation.

A method, system, and system control method for security inspection intelligent auxiliary map judgment

An intelligent and security inspection technology, applied in the detection field, can solve the problems of item image aliasing, easy misjudgment and low accuracy, and achieve the effect of simple application, avoiding misjudgment and improving accuracy

Active Publication Date: 2021-03-16
BEIJING UNIV OF POSTS & TELECOMM
View PDF11 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The accuracy rate of this scheme is not high; during the recognition process, the image of the item will appear aliasing, complex, and difficult to identify, and it is easy to miss and misjudge

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A method, system, and system control method for security inspection intelligent auxiliary map judgment
  • A method, system, and system control method for security inspection intelligent auxiliary map judgment
  • A method, system, and system control method for security inspection intelligent auxiliary map judgment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0053] An embodiment of the present invention provides a security inspection intelligent auxiliary map judgment method, including:

[0054] S110. Based on the image color threshold, classify the original images acquired by the multi-angle scanning of the X-ray machine, and perform segmentation processing on the classified original images based on the edge extraction algorithm, so as to realize preliminary extraction of all items in the images.

[0055] The step of classifying the original image obtained by the multi-angle scanning of the X-ray machine based on the image color threshold includes: according to the color channel RGB information of the original image obtained by the multi-angle scanning of the X-ray machine, the different color channel RGB (red, green and blue) information is classified. Classify objects of different colors; or classify items based on HSV color space and YCBCR color space; or classify items based on deep learning methods, such as Mask RCNN.

[005...

Embodiment 2

[0065] The embodiment of the present invention also provides a security inspection intelligent auxiliary map judgment system, including: an item segmentation module, an item outline completion module, a multi-view image processing module and a relative position display module;

[0066] The item segmentation module is used to classify the original images obtained by multi-angle scanning of the X-ray machine based on the image color threshold, and perform segmentation processing on the classified original images based on the edge extraction algorithm to realize the preliminary extraction of all items in the image;

[0067] The item contour completion module is used to complete the contours of the images of all items after segmentation processing based on the confrontation generation network in the deep learning algorithm;

[0068] The multi-view image processing module is used to obtain the actual relative position information of all items by using the multi-angle scanning of the...

Embodiment 3

[0073] The embodiment of the present invention also provides a control method of the security inspection intelligent auxiliary map judgment system, including the system described in Embodiment 2, which is characterized in that it includes:

[0074] Step 1. Obtain the original image generated by the multi-angle scanning image of the X-ray machine of the item to be inspected, input the original image into the item segmentation module, and segment the item image from the original image according to the image color threshold and edge extraction algorithm;

[0075] Step 2. Input each segmented image of each item into the confrontation generation neural network in the item outline completion module, and respectively obtain the item image of the completed outline;

[0076] Step 3. Input the original image obtained by multi-angle scanning and the completed item image into the multi-view image processing module to obtain the relative position information of all items;

[0077] Step 4: ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The present invention provides a method, system and system control method for security inspection intelligent auxiliary image judgment, including: classifying the original images obtained by X-ray machine multi-angle scanning based on the image color threshold, and classifying the classified original images based on the edge extraction algorithm. Segmentation processing to achieve preliminary extraction of all items in the image; based on the adversarial generation network in the deep learning algorithm, complement the contours of the images of all items after segmentation; use multiple original images obtained by multi-angle scanning of the X-ray machine and complement The image of the item after the full outline uses a three-dimensional analysis method to obtain the actual relative position information of all items; combined with the acquired image of the item after the outline is completed and the actual relative position information of the item, the relative position of the item is displayed in layers. image. The invention has strong universality, assists manual identification and judgment, reduces the workload of manual identification, and improves the accuracy of identification.

Description

technical field [0001] The invention belongs to the technical field of detection, and in particular relates to a security inspection intelligent auxiliary map judgment method, system and system control method. Background technique [0002] In recent years, my country has invested more and more in the field of security, and the level of security inspection in public places has become higher and higher. At present, the non-contact security inspection equipment of X-ray security inspection technology is the most widely used tool, and is widely used in the field of logistics, transportation hubs and some public places with relatively dense personnel. [0003] X-rays are electromagnetic waves that can penetrate opaque objects such as wood, cardboard, and leather. The X-ray beam emitted by the X-ray source will be partially absorbed when it passes through the detected object on the conveyor belt. The X-ray security inspection device can present images of different colors on the s...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/34G06T5/00G06T7/12G06T7/136
CPCG06T7/136G06T7/12G06T2207/10116G06V20/10G06V10/267G06T5/77
Inventor 吴铭陈光张闯徐梦秋
Owner BEIJING UNIV OF POSTS & TELECOMM