Gas Detection Contrast via Pixel Subset Scaling
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Solution Overview
Problem
Conventional gas detection systems struggle to effectively display gas images due to varying infrared radiation intensities, making it difficult for users to discern gas features from other features in captured image frames, as they require manual adjustment of pixel value ranges that often result in insufficient contrast.
Innovation Solution
The system selects a subset of pixels from a captured image frame, generates a histogram to determine a specific span of pixel values associated with the gas feature, and scales the image frame to enhance contrast between the gas and scene features, improving visibility by limiting the displayed range to the selected span.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the entire image frame is considered for selecting pixel value range, then the display covers all features in the scene, but the contrast between gas features and other features becomes insufficient
Solution Approach 1:
The patent divides the image frame into different regions and processes pixel values differently for gas detection versus other features. By segmenting the image analysis, the system can apply specific level and span adjustments to enhance gas feature contrast while maintaining overall scene context, thus resolving the contradiction between comprehensive display and targeted contrast enhancement.
2Measurement precision
If manual adjustment of pixel value range is required, then the system can be optimized for specific viewing conditions, but the operation becomes time-consuming and complex
Solution Approach 1:
The system automatically determines the appropriate level and span for pixel value scaling by analyzing the image data itself. The gas detection algorithm identifies gas features and automatically adjusts the display parameters to optimize contrast, eliminating the need for manual user adjustment while maintaining optimal visualization conditions.
Solution Approach 2:
The system uses feedback from the image analysis process to automatically adjust display parameters. By continuously analyzing the pixel value distribution and gas feature detection results, the system self-adjusts the level and span settings to optimize gas visibility, creating a closed-loop system that eliminates manual intervention.
3Adaptability or versatility
If the full range of pixel values is displayed, then all scene features are visible, but gas features clustered around small pixel value ranges become difficult to discern
Solution Approach 1:
The patent applies different display scaling parameters (level and span) to different regions or feature types within the image. Gas features are identified and assigned specific level/span values that enhance their contrast, while other scene features maintain their original display characteristics. This local quality adjustment ensures gas features are clearly discernible without sacrificing overall scene visibility.
Data Source
AI summary
Various techniques are provided for increasing contrast between gas features and other features in a scene. In one example, a method includes receiving a captured image frame comprising a plurality of pixels having a first range of associated pixel values. The method also includes receiving a selection of a subset of the pixels, wherein the subset comprises a gas feature and a scene feature. The method also includes determining a span associated with the pixels of the subset having a second range of associated pixel values smaller than the first range. The method also includes scaling the captured image frame to provide an adjusted image frame limited to the second range of pixel values associated with the span to increase contrast between the gas feature and the scene feature. The method also includes displaying the adjusted image frame. Additional methods and systems are also provided.