Multi-mode infrared detector image algorithm analysis and verification method

Abstract

The invention provides a multi-mode infrared detector image algorithm analysis and verification method. The method comprises the following steps of arranging an image processing board card with a network transmission function and a hard disk capable of being quickly accessed on a PC, and optimizing an infrared detector image algorithm on the PC; using an infrared detector to transmit the acquiredimages to the PC hard disk for storage, processing the image, directly displaying a processed result on a display of the infrared detector and transmitting the processed result to the PC simultaneously, using the PC to further process the image through the optimized algorithm, and displaying the optimization processing result through the PC display, so that the image effect on the infrared detector and the image effect optimized by the PC can be compared and analyzed conveniently, and the effect of the optimization algorithm is verified.

Description

technical field [0001] The invention belongs to the technical field of infrared image acquisition and processing, and in particular relates to a multi-mode image algorithm analysis and verification method. Background technique [0002] figure 1 It is an existing embedded infrared image acquisition and processing system. The infrared detector has a built-in image processing board, and the processing results are displayed through the display on the detector. Such as figure 2 As shown, the development of image processing algorithms is often designed and written on the PC first, and then transplanted to the image processing board of the embedded system after optimization. After the transplantation is completed, the hardware algorithm personnel still need to use the hardware language (FPGA or DSP) to optimize and debug the algorithm continuously on the PC. However, this debugging process is often complicated and slow, because it is impossible to conveniently observe The inter...

AI Technical Summary

Problems solved by technology

After the transplantation is completed, the hardware algorithm personnel still need to use the hardware language (FPGA or DSP) to optimize and debug the algorithm continuously on the PC. However, this debugging process is often complicated and slow, because it is impossible to conveniently observe The intermediate imaging effect after each algorithm adjustment and the more detailed intermediate data changes, and the data processed by the hardware cannot be stored in the hard disk, and it is difficult to perform re-analysis on the processing results. These have brought great benefits to the efficient development of the system. big inconvenience

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