A temperature calibration processing method for infrared images

Abstract

The invention discloses a processing method for temperature calibration of infrared images. The processing method comprises the following steps: an upper-layer software transmits a coordinate of a point needing to be calibrated or a coordinate of an area needing to be calibrated to movement hardware; the upper-layer software issues an image-temperature calibration type; the hardware acquires coordinate information; a minimum rectangular frame internally tangential to the calibrated area is calculated; an image is acquired, and the image collection is transmitted according to a certain sequence; when the image sequence is transmitted to a rectangular area, marking information of a storage unit is read; if the marking information is 1, a pixel point is data needing to be calculated, and related data is obtained by carrying out related calculation according to the temperature calibration type; conversion calculation from gray scale to temperature is carried out; the transmission of one image is finished, and the temperature information of the related calibration area is reported to the upper-layer software by a certain communication mode to finish the temperature calibration. The processing method disclosed by the invention has the advantages that the defects exposed on temperature calibration of high-resolution images in the prior art are overcome, the software and the hardware are combined, and the temperature calibration of the infrared images is finished by interaction of a few amount of commands.

Description

technical field [0001] The invention relates to the technical field of infrared thermal imaging, in particular to a temperature calibration processing method of an infrared image. Background technique [0002] The grayscale information of infrared thermal imaging itself is the temperature information of the target object, and the temperature distribution of the target object can be easily calibrated through the mapping conversion from grayscale to temperature. Therefore, infrared thermal imaging cameras are widely used in non-contact measurement of target temperature distribution. [0003] The infrared temperature calibration in the prior art is carried out on the main control processor of the infrared thermal imaging system, and usually adopts a pure software processing method. First, the original frame of the image is transmitted to the main control processor for storage, and then according to the position of the area to be marked The relevant pixel grayscale is taken out...

AI Technical Summary

Problems solved by technology

[0004] 1. According to the characteristics of infrared images, the infrared image temperature calibration needs to use the original image without contrast enhancement instead of the image frame for display, which needs to be transmitted through an additional dedicated channel; in addition, in order to achieve high precision of temperature calibration, it is necessary to retain gray The high bit width of high-speed data leads to a large amount of data transmission between the core and the main control processor, and many interfaces;

[0005] 2. Additional original image frame storage requires a large memory resource overhead. With the increase in the resolution of the infrared detector, the sampling rate increases significantly, and the data transmission volume is huge, which poses a huge challenge to the interface rate and storage resources; in addition, through the software It takes a lot of time to read the frame image and then process it, which leads to poor real-time performance of temperature calibration.

[0007] As the resolution of the detector increases, the sampling rate also increases significantly while the amount of data increases, so the current traditional processing method can only be applied to low-resolution infrared images. With the development of technology, the processing capacity of this method Weaknesses will be highlighted

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