Infrared image based hardware processing algorithm effectiveness performance evaluation device and method

Abstract

The invention discloses an infrared image based hardware processing algorithm effectiveness performance evaluation device and method. The infrared image based hardware processing algorithm effectiveness performance evaluation device is formed by an original infrared image input end, a gigabit network transmission module, an infrared image hardware algorithm processing performance evaluation board, an infrared image output end and an evaluation result display. The infrared image based hardware processing algorithm effectiveness performance evaluation method comprises transmitting an original infrared image into an upper computer and the infrared image hardware algorithm processing performance evaluation board; determining the performance evaluation index information of the infrared image after processing through the infrared image hardware algorithm processing performance evaluation board; displaying an evaluation result through the evaluation result display. According to the infrared image based hardware processing algorithm effectiveness performance evaluation device and method, the effect of the infrared image after the processing of different hardware algorithms can be objectively evaluated, the comparison can be performed on the infrared image after the processing by the algorithm in the upper computer and the hardware algorithm in the infrared image hardware algorithm processing performance evaluation board, and designers can further optimize and improve the hardware algorithms of the infrared image processing algorithm according to the comparison of the two processing results.

Description

technical field [0001] The invention belongs to the technical field of infrared thermal imaging, in particular to an infrared image-based hardware processing algorithm effect evaluation device and an evaluation method thereof. Background technique [0002] The infrared image represents the temperature distribution information of the measured target. It is a grayscale image. Generally, the infrared light signal of the target is collected by the infrared detector and converted into an electrical signal. After AD sampling, the original infrared digital image can be obtained. Due to the heat balance of the scene, long wavelength, long transmission distance, atmospheric attenuation and other reasons, the infrared image will have strong spatial correlation and low contrast; and the infrared detector is limited by material defects and technological level, and the response characteristics of each detection unit are often inconsistent. , will bring the non-uniformity of the infrared ...

AI Technical Summary

Problems solved by technology

The main disadvantages of this method are: 1. It is generally time-consuming and laborious to collect various changing scenes, and the original image collected may not always meet the requirements due to the limitation of the image acquisition card; 2. It does not take into account the hardware processing platform and software. Algorithm implementation platform differences, hardware-based image processing algorithms have different layout and wiring in chips with different resources, and the implementation effects will also vary greatly; 3. It is impossible to evaluate the implementation effects of infrared image hardware processing algorithms in different scenarios in real time

4. The effect of the hardware processing algorithm and the effect of the software processing algorithm can only be compared through the subjective observation of the human eye, and it is difficult to compare different algorithms with objective evaluation indicators

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