Infrared image-based hardware processing algorithm effect evaluation device and evaluation method

Abstract

The invention discloses an infrared image-based hardware processing algorithm effect evaluation device and an evaluation method thereof. The evaluation device is composed of an original infrared image input terminal, a gigabit network transmission module, an infrared image hardware algorithm processing effect evaluation board, an infrared image output terminal and an evaluation result display. In this evaluation method, the original infrared image is transmitted to the host computer and the infrared image hardware algorithm processing effect evaluation board respectively, and the infrared image hardware algorithm processing effect evaluation board determines the effect evaluation index information of the processed infrared image, and displays it through the evaluation result display . The present invention can objectively evaluate the effect of infrared images processed by different hardware algorithms, can compare the infrared images processed by the algorithms in the host computer and the infrared image hardware algorithm processing effect evaluation board in the infrared image processing effect evaluation board, and according to the two processing results Designers can further optimize and improve the infrared image hardware processing algorithm.

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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