3D CT Security Imaging Target Positioning via Depth Segmentation
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Solution Overview
Problem
Existing security inspection systems using three-dimensional CT images face challenges in quickly marking suspected objects, as current methods are inefficient for human operators to identify and select targets in these complex images.
Innovation Solution
A method and system that allows users to select areas in a three-dimensional CT image using an input device, generating sets of objects in a depth direction, and determining the target object based on user selection, physical properties, or predetermined criteria, facilitating quick identification of suspected objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a human operator manually marks a suspected object on a three-dimensional CT image, then the suspected object can be identified, but the process is time-consuming and inefficient
Solution Approach 1:
The system performs automatic target object positioning and marking without requiring manual intervention. The data processor automatically determines the target object based on the selected area and depth direction, enabling the system to serve itself in the marking process and eliminating time-consuming manual operations
Solution Approach 2:
The patent replaces the mechanical manual marking process with an automated computational system. The data processor uses algorithmic processing to identify and mark target objects based on selected areas and depth information, substituting human manual operations with automated digital processing
2Measurement precision
If the system generates multiple sets of three-dimensional objects in depth direction based on user selection, then the target object can be accurately identified, but the device complexity increases
Solution Approach 1:
The patent segments the three-dimensional CT image data into multiple sets of objects along the depth direction based on user selection. This segmentation allows the system to process and analyze objects at different depth levels separately, improving target identification accuracy while managing complexity through structured data organization
Solution Approach 2:
The patent introduces depth direction as an additional dimension for object organization and selection. By generating sets of three-dimensional objects along the depth axis, the system transforms a two-dimensional selection problem into a three-dimensional one, enabling more precise target identification through spatial reasoning
Data Source
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AI summary
Disclosed is a method for positioning a target in a three-dimensional CT image and a CT system for security inspection. The method includes: displaying a three-dimensional CT image; receiving a selection by a user of at least one area of the three-dimensional CT image at a viewing angle; generating at least one set of three-dimensional objects in a depth direction based on the selection; and determining a target object from the set. With the above technical solutions, the user may be facilitated in marking a suspected object in a CT image in a quick manner.