Scanner Quality Evaluation With Objective and Subjective Scoring
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Solution Overview
Problem
Existing scanner testing systems are cumbersome, time-consuming, and provide inconsistent or inaccurate evaluations due to bulky test pieces and manual inspection, leading to inefficiencies in customs operations.
Innovation Solution
A system and method for evaluating scanner quality using a processor to analyze scanned images of a test piece, generating objective and subjective score values based on regions of interest, and integrating user input for comprehensive evaluation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a bulky test piece is used for scanner testing, then the scanner can be tested, but the test piece is difficult to handle and requires considerable time for multi-view scanning
Solution Approach 1:
The test piece is divided into multiple test panels (first test panel, second test panel, third test panel, etc.), each containing different test elements. This segmentation allows comprehensive scanner testing across multiple views and parameters without requiring a single bulky object, reducing handling time and improving testing efficiency.
Solution Approach 2:
The test piece is designed with multiple test panels that can test various scanner functions simultaneously (spatial resolution, contrast resolution, penetration levels, etc.). This multi-functionality allows a single test piece to comprehensively evaluate scanner performance across all views, eliminating the need for multiple separate test objects and reducing total testing time.
2Ease of operation
If visual inspection by officers is used to evaluate scanned images, then evaluation can be performed, but test results are highly inconsistent
Solution Approach 1:
The manual visual inspection process is replaced with an automated computer-based evaluation system. The processor automatically analyzes scanned images by comparing them against stored templates and calculating objective scores for various parameters. This substitution eliminates human subjectivity and inconsistency, providing precise and repeatable measurements while maintaining ease of operation.
Solution Approach 2:
The system provides automated feedback by calculating and displaying objective score values for each test parameter. The processor compares scanned images with templates and generates quantitative results, enabling consistent evaluation without relying on individual officer opinions. This feedback mechanism ensures uniform testing standards across all scanner evaluations.
3Extent of automation
If existing automatic evaluation systems are used, then evaluation is automated, but accuracy is limited due to poor evaluation programs and test pieces
Solution Approach 1:
Test templates are pre-stored in the system database before actual scanning occurs. These templates contain reference data for various test parameters (spatial resolution, contrast resolution, penetration levels). During evaluation, the processor compares scanned images against these pre-prepared templates, enabling accurate automated assessment without requiring complex real-time analysis algorithms.
Solution Approach 2:
The system evaluates multiple parameters simultaneously across different test panels (spatial resolution, contrast resolution, penetration levels, material discrimination). By changing and measuring multiple parameters rather than relying on a single metric, the system achieves comprehensive and accurate scanner evaluation, overcoming the limitations of existing single-parameter evaluation systems.
Data Source
AI summary
A system for evaluating the scan quality of a scanner on a test piece is provided. The system includes a processor and a memory in communication to the processor for storing instructions executable by the processor, such that the processor is configured to receive a scanned image of the test piece from the scanner, display the scanned image, generate a first score value based on the scanned image, display an evaluation input interface configured to receive user evaluation input based on the evaluation of the scanned image, and generate a second score value based on the user evaluation input, such that the first score value and the second score value are utilized to evaluate the scan quality of the scanner. Further, a method for evaluating the scan quality of the scanner is provided.