Security Marker Detection Background Noise Reduction
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Solution Overview
Problem
Existing methods for detecting security markers are compromised by image background noise from extraneous light sources, leading to inaccurate identification of marker emissions, as these noise sources can overwhelm or obscure the marker signals.
Innovation Solution
A median filter is applied to the background image to reduce noise, allowing for precise subtraction from high-resolution security marker emission images, thereby enhancing the accuracy of security marker detection by smoothing 'hot and cold' pixels based on their spatial neighbors and replacing their intensity values with medians.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If background image capture is performed without excitation illumination to obtain background noise, then the background noise can be subtracted from emission images, but the captured background image contains excessive pixel-to-pixel intensity variation (noise) that worsens the noise profile in the resultant image when subtracted
Solution Approach 1:
The patent applies a median filter to the background image before subtraction to pre-process and reduce noise. This preliminary action smooths the background image by replacing each pixel value with the median value of neighboring pixels, reducing extreme variations while preserving the overall background structure for accurate subtraction from emission images
Solution Approach 2:
The patent introduces a median filter as an intermediary processing step between background capture and emission image subtraction. This intermediary operation transforms the noisy background image into a smoothed version that, when subtracted, produces a resultant image with improved noise characteristics and enhanced marker detection accuracy
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach significantly improves the signal-to-noise representation of security marker emissions, ensuring more accurate detection by isolating the marker signals from stray light interferences, thus enhancing the reliability of authentication processes.
Implementation Method 1
when excited with light of appropriate wavelengths, emit radiation which produce a unique image
Data Source
AI summary
A method of eliminating background noise from a system for authenticating security markers includes capturing an image of a background of the security marker; illuminating the security marker; capturing a plurality of images of the optical response of the security marker; averaging the plurality of optical response images; smoothing the background image; and subtracting the smoothed background image from the average of the plurality of optical response images.