Gas Detection Device Using Binary Image Difference
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Solution Overview
Problem
Conventional gas monitoring apparatuses face noise issues due to differences in background pixel values between images taken with tunable filters, leading to visualization of background as noise alongside the detection target gas.
Innovation Solution
The solution involves acquiring images using first and second optical filters with distinct transmission wavelength bands, generating binary images to differentiate between gas, water vapor, and background, and calculating differences between these binary images to reduce noise.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a tunable filter is used to capture images at different wavelength bands, then gas detection capability is improved, but noise increases due to background pixel value differences
Solution Approach 1:
The patent segments the detection process into three distinct image processing stages: (1) generating a first binary image from the first image to identify gas regions, (2) generating a second binary image from the second image to identify water vapor regions, and (3) calculating the difference between these binary images. This segmentation allows selective extraction of gas signals while eliminating background and water vapor interference, thereby reducing noise while maintaining detection precision.
Solution Approach 2:
The patent introduces binary images as intermediary representations between the raw spectral images and the final gas detection result. These binary images serve as mediators that encode spatial information about gas and water vapor distributions, enabling the subsequent difference calculation to isolate gas signals from background noise and water vapor interference.
2Loss of information
If differential imaging is performed on raw images, then gas visualization is achieved, but background areas are visualized as noise
Solution Approach 1:
The patent applies segmentation by creating binary images that separate gas-containing regions from background regions before performing differential imaging. The first binary image identifies areas with gas absorption, while the second binary image identifies water vapor areas. By calculating the difference between these segmented binary images, the patent visualizes only gas regions while eliminating background noise.
Solution Approach 2:
The patent applies local quality by treating different spatial regions differently through the binary image generation process. Each pixel's value in the binary images is determined by local spectral characteristics, allowing the differential image to preserve gas signals in specific regions while suppressing background signals in other regions.
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 effectively reduces noise in gas detection, allowing for clear visualization and accurate determination of the detection target gas.
Implementation Method 1
a first transmission wavelength band that is a wavelength band including at least an absorption wavelength band of a gas to be detected
Implementation Method 2
a second transmission wavelength band, the second transmission wavelength band being a wavelength band that is different from the absorption wavelength band
Data Source
AI summary
The gas detection device according to the present invention is provided with: a first image processing unit for generating a first binary image for indicating in binary fashion the inside and outside of a first region indicating water vapor and a gas to be detected, on the basis of a first image generated using an optical filter having a first pass wavelength band including at least an absorption wavelength band of the gas; a second image processing unit for generating a second binary image indicating in binary fashion the inside and outside of a second region indicating the water vapor, on the basis of a second image generated using an optical filter having a second pass wavelength band different from the absorption wavelength band; and a third image processing unit for calculating a difference between the first binary image and the second binary image.