UV Matrix Code Detection Using LAB Color Space Edge Analysis
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Solution Overview
Problem
Current image processing technologies face challenges in optimizing edge detection across different environments and color spaces, leading to varying results and inefficiencies in identifying edges within images.
Innovation Solution
The development of a system that processes image datasets to create a matrix optimized for detection by identifying the most prevalent and least prevalent colors, using colorspace conversions to enhance edge detection, and incorporating ultraviolet and infrared layers for improved security and information storage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional edge detection methods are used across different environments, then the detection process is simple, but the detection accuracy varies and is not optimized for particular environments
Solution Approach 1:
The patent applies parameter changes by transforming images from the RGB colorspace to the LAB colorspace, which separates luminance (L) from color information (A and B channels). This parameter transformation optimizes edge detection accuracy in particular environments by allowing independent processing of luminance and color components, with edge detection primarily performed on the L channel while using A and B channels for color-based differentiation.
Solution Approach 2:
The patent segments the image processing into distinct components: luminance processing (L channel) for edge detection and color processing (A and B channels) for color-based segmentation. This segmentation allows the system to optimize edge detection independently from color analysis, improving overall detection accuracy while maintaining manageable system complexity through modular processing steps.
2Quantity of substance
If only traditional color channels (RGB) are used for matrix encoding, then the system is simple to implement, but the information storage capacity is limited
Solution Approach 1:
The patent extends the traditional 3-channel RGB colorspace to a 5-channel colorspace by adding the L (luminance) channel and the A (green-red opponent) and B (blue-yellow opponent) channels from the LAB colorspace. This dimensional expansion from 3 to 5 independent color channels significantly increases information storage capacity in matrix barcodes, allowing more data to be encoded while maintaining a systematic and manageable structure through defined colorspace transformation rules.
3Measurement precision
If environment-specific optimization is applied for each detection scenario, then the detection accuracy is maximized, but the system complexity and processing time increase
Solution Approach 1:
The patent performs preliminary action by pre-converting images to the LAB colorspace and pre-identifying the dominant background color before edge detection. This preliminary processing establishes an optimized detection matrix specific to each environment in advance, allowing subsequent edge detection operations to proceed efficiently with reduced processing time while maintaining high accuracy through environment-specific optimization.
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 improves edge detection accuracy, enhances security through secure verification processes, and increases the capacity for information storage by utilizing non-black and non-white colors across multiple color channels, including ultraviolet and infrared layers.
Implementation Method 1
the at least one ultraviolet layer reflects ultraviolet light
Data Source
AI summary
Systems, methods, and computer-readable media to detect matrixed codes. A matrixed code may comprise a plurality of colors, an infrared layer, and an ultraviolet layer. The matrixed code may be a fiducial marker for conveying spatial information. The spatial information may stem at least in part from the ultraviolet layer.