Color Space Conversion for Urine Test Kit Accuracy
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Solution Overview
Problem
Conventional pet diagnosis kits face challenges in accuracy due to uneven absorption of urine and feces, requiring cumbersome fastening and being sensitive to ambient environments, which affects the reliability of self-diagnosis results.
Innovation Solution
A method using color space conversion and a color constancy algorithm to accurately detect biochemical information from a urine test kit, allowing for reliable results even with discolored pad cells and varying environments, by extracting representative R, G, and B values through convolution and dynamic random node tree processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If color detection is performed in a standard color space, then the process is simple, but the measurement precision deteriorates under non-ideal lighting conditions
Solution Approach 1:
The patent transforms color detection from standard RGB color space to alternative color spaces (HSV, LAB, YCbCr) and applies color constancy algorithms to compensate for lighting variations. This parameter transformation allows the system to maintain measurement precision under non-ideal conditions while keeping the overall process manageable through automated computation.
Solution Approach 2:
The patent introduces an intermediary processing layer that converts standard color space data into alternative color spaces and applies color constancy algorithms. This intermediary transformation acts as a bridge between simple color detection and accurate color measurement under varying lighting conditions.
2Quantity of substance
If the entire pad cell area is used for color analysis, then more data is available, but the reliability deteriorates when some areas are discolored
Solution Approach 1:
The patent divides the pad cell into multiple regions and performs color analysis on each segment independently. By segmenting the analysis area, the system can identify and exclude discolored regions while maintaining reliable diagnosis based on valid segments, thus balancing data quantity with result reliability.
Solution Approach 2:
The patent applies different processing strategies to different regions of the pad cell based on their quality. Valid regions undergo full color analysis while discolored regions are identified and excluded. This local quality assessment ensures that reliable regions contribute to the diagnosis while problematic regions do not compromise the result.
3Adaptability or versatility
If conventional diagnosis kits are used, then self-diagnosis is possible, but the ease of operation deteriorates due to cumbersome fastening requirements
Solution Approach 1:
The patent replaces the mechanical fastening system with a snapshot-based imaging approach. Instead of requiring physical attachment and mechanical securing, the system simply captures an image of the test result, dramatically simplifying the user operation while maintaining self-diagnosis capability.
Solution Approach 2:
The system enables users to perform self-diagnosis by simply taking a snapshot of the test result. The automated image processing and color analysis perform the diagnostic function without requiring user expertise in color matching or complex操作流程, making the service truly self-serving and convenient.
4Adaptability or versatility
If conventional diagnosis kits are used, then self-diagnosis is possible, but the reliability deteriorates due to sensitivity to ambient environments
Solution Approach 1:
The patent transforms color measurements from standard RGB space to alternative color spaces (HSV, LAB, YCbCr) that are more robust to lighting variations. By changing the parameter representation, the system maintains diagnosis reliability across different ambient conditions while preserving self-diagnosis accessibility.
Solution Approach 2:
The patent introduces color constancy algorithms as an intermediary processing layer that compensates for ambient lighting effects. This intermediary computation adjusts the color measurements to account for environmental variations, ensuring consistent diagnosis results regardless of shooting conditions.
Data Source
AI summary
A method according to an embodiment of the present invention includes acquiring an image of a urine test kit equipped with a biochemical sample rod including a plurality of pad cells including a plurality of sub-pad cells, extracting at least one potential RGB value from the image by means of a potential color extractor, and converting and analyzing the at least one potential RGB value using a plurality of color spaces included in a color space conversion engine and a color space analysis engine by means of an analyzing unit. The plurality of color spaces are randomly generated, and a color space having a smallest distance value from the potential RGB value is determined as an optimal color space.