Infrared Thermal Camera Two-Point Correction via Temperature Substitution
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Solution Overview
Problem
Infrared thermal imaging systems face image quality deterioration due to temperature changes, primarily caused by the non-uniformity of detector responses, which existing two-point correction methods struggle to adaptively address.
Innovation Solution
A method and system for two-point correction based on temperature substitution, involving the use of black bodies and baffles to acquire and correct gray values, with correction parameters calculated to maintain image quality across temperature variations, utilizing a system with modules for temperature acquisition, gray value collection, and parameter calculation to adjust for thermal equilibrium.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional two-point correction method is used, then correction coefficients can be obtained in advance, but the method cannot adaptively track the drift of detection element response characteristics when temperature changes
Solution Approach 1:
The patent transforms the static two-point correction method into a dynamic adaptive correction system. The correction parameters are no longer fixed but are dynamically updated based on real-time temperature monitoring. The system continuously tracks temperature changes and adjusts correction parameters accordingly, enabling the correction mechanism to adapt to drifting detection element characteristics caused by temperature variations.
Solution Approach 2:
The patent introduces a feedback mechanism where temperature information is continuously monitored and fed back to adjust the correction parameters. The system measures temperature, compares it with reference values, and uses this feedback to dynamically update the two-point correction parameters, creating a closed-loop adaptive correction system that maintains image quality despite temperature fluctuations.
2Ease of manufacture
If baffle correction is used to update two-point parameters, then calibration can be performed, but image quality deteriorates due to temperature change
Solution Approach 1:
The patent changes the correction parameters dynamically based on temperature conditions rather than using fixed baffle correction parameters. By introducing temperature as a variable parameter, the system adjusts correction coefficients according to actual temperature conditions, preventing the image quality deterioration that occurs with fixed baffle correction methods when temperature changes.
Solution Approach 2:
The patent introduces temperature as an intermediary parameter that mediates between the detection element characteristics and the correction process. Instead of directly applying fixed baffle correction, the system uses temperature information as an intermediary to determine appropriate correction parameters, thereby maintaining image quality across varying temperature conditions.
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 mitigates image quality deterioration caused by temperature changes, broadening the application of infrared thermal imaging systems and improving image resolution by adaptively tracking and correcting for non-uniformities.
Implementation Method 1
Infrared thermal imaging uses the photoelectric technology to detect infrared-specific band signals of thermal radiation from objects
Implementation Method 2
If the surface temperature of an object exceeds absolute zero, electromagnetic waves will be radiated
Implementation Method 3
A gray value is acquired for a first black body arranged in front of the lens of the infrared thermal camera; a temperature of the first black body is equal to the lens temperature
Data Source
AI summary
A method and system of two-point correction based on temperature substitution, includes: a black body related to the lens temperature is arranged outside a lens, a first black body arranged in front of the lens of an infrared thermal camera, so as to collect a gray value of the first black body; a temperature of the first black body being equal to the lens temperature; a second black body arranged in front of the lens of the infrared thermal camera, so as to collect a gray value of the second black body; a temperature of the second black body being higher than the lens temperature. Two correction parameters obtained by black body calculation related to temperature are strongly applicable, which eliminates the problem of image quality deterioration caused by temperature changes and greatly eliminates the pot lid phenomenon due to non-uniformity, thereby accurately calculating the corrected gray value.