Infrared Temperature Measurement Resolution via Virtual Pixel Segmentation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing infrared temperature measurement devices suffer from low resolution, which limits their ability to accurately measure temperature distribution, despite image enhancement techniques that improve visible light image clarity but not temperature measurement precision.
Innovation Solution
The method involves magnifying the original infrared image, dividing each pixel into multiple pixel groups, setting reference pixels, and using these to calculate the temperatures of target pixels, thereby enhancing the resolution of temperature detection by interpolating temperatures across pixel groups.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If visible light sensors are used for image enhancement, then the visual definition of the thermal image is improved, but the temperature measurement resolution remains low
Solution Approach 1:
The patent divides each original pixel into multiple pixel groups (e.g., 4 pixel groups per original pixel), and further divides each pixel group into multiple virtual pixels. This segmentation allows the system to generate multiple virtual temperature measurement points from a single physical pixel, thereby improving temperature measurement resolution without requiring higher-resolution hardware sensors.
2Measurement precision
If higher resolution infrared detectors are used, then temperature measurement resolution is improved, but the cost increases significantly
Solution Approach 1:
The patent creates multiple virtual pixels and virtual temperature measurement points by software processing rather than using additional physical sensors. By copying and processing the signal from each physical pixel multiple times through different pixel group divisions and virtual pixel generations, the system achieves the effect of higher resolution detection without the cost of purchasing higher-resolution infrared detectors.
3Measurement precision
If the number of pixels is increased to 640*480, then the resolution is improved, but the cost of the infrared lens or detector assembly increases qualitatively
Solution Approach 1:
The patent transitions from a two-dimensional hardware resolution problem to a three-dimensional solution space by adding the dimension of virtual pixel generation through software processing. Instead of increasing physical pixel density in the detector plane, the system creates multiple virtual measurement layers from each physical pixel through mathematical processing, effectively achieving high resolution without high-cost hardware components.
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 the resolution of temperature detection by allowing for the computation of temperatures within pixel groups, leading to more precise temperature measurements.
Implementation Method 1
the infrared detector and an optical imaging objective to receive the infrared radiation energy distribution pattern of the target to be measured
Data Source
AI summary
An infrared temperature measurement method and device, first magnifying an acquired original infrared image according to a predefined magnification factor to obtain a second original infrared image, dividing each original pixel in the second original infrared image to obtain pixel groups comprising multiple pixels; then setting a pixel at a predefined location in each pixel group as a reference pixel; setting the temperatures of the reference pixels as the temperatures of the original pixels corresponding to the reference pixels; next acquiring temperatures of a plurality of target pixels based on the temperatures of the reference pixels; the target pixel is one pixel in the pixel groups; finally acquiring the temperature of the predefined temperature detection point according to the temperatures of the multiple target pixels; the temperature detection point corresponds to the multiple target pixels.