Infrared thermal imaging target tracking temperature measurement method capable of avoiding jitter interference

Abstract

The invention discloses an infrared thermal imaging target tracking temperature measurement method and system capable of avoiding jitter interference. The method comprises the following steps: S1, manually selecting a regular ROI region close to a target contour on a target image; S2, carrying out edge detection on a target in the ROI region, extracting an edge contour and texture details, and acquiring a closed target contour from the edge contour by using a scanning filling method; S3, taking the target contour obtained in the step S2 as an initial curve of a level set, discretizing the initial curve, combining the discretized initial curve and the target image, and performing iteration by using an active contour model based on the level set to obtain an accurate target area; and S4, counting the temperature value in the target area obtained in the step S3, and obtaining the highest temperature, the lowest temperature and the average temperature of the target. According to the invention, the temperature measurement failure caused by hand shaking when the portable infrared temperature measurement equipment is used can be avoided; and the temperature measurement failure caused by the movement of the temperature measurement target can be avoided.

Description

technical field [0001] The invention belongs to the technical field of optical parameter measurement, and in particular relates to a temperature measurement method and system for infrared thermal imaging target tracking that can avoid shaking interference. Background technique [0002] At present, the application of infrared thermal imaging in the temperature measurement industry is becoming more and more popular. The measured targets can be people, animals, vehicles, electrical equipment, etc. Due to the irregular imaging shape of the temperature measurement target, it is often necessary for the user of the infrared thermal imager to manually set the imaging area of ​​the target to be measured, which is usually called setting a region of interest (ROI for short). There are usually rectangle, circle, ellipse, polygon and other types for users to choose for setting the shape of the ROI area. Then measure parameter information such as the highest temperature, the lowest tempe...

AI Technical Summary

Problems solved by technology

[0003] Due to the irregularity of the target imaging boundary, after manually setting rectangular, circular, and elliptical regular ROIs, since the ROI area generally contains part of the background area, the parameters such as the highest temperature, the lowest temperature, and the average temperature of the measurement target cannot accurately reflect the target. the real temperature of

Manually setting the polygonal ROI and enclosing the measured target with line segment connections is not only difficult to completely match the target edge accurately, but also easy to form glitches, and it takes a long time and is inefficient

When using a handheld infrared temperature measurement device, affected by hand shake, the temperature measurement target is easy to leave the ROI area, which brings great inconvenience to use and affects the accuracy of temperature measurement

Images