Infrared image anomaly monitoring method, apparatus and device based on dual-light fusion

Abstract

The invention discloses an infrared image anomaly monitoring method, apparatus, device and system based on dual-light fusion. The infrared image anomaly monitoring method comprises the steps: acquiring a visible light image and an infrared image which are consistent in image display content and are synchronously collected; inputting the visible light image into a pre-trained neural network, and outputting a converted infrared image; respectively acquiring gray difference values of the same area in the converted infrared image and the infrared image; judging whether the gray difference value isgreater than a preset threshold value or not; and if so, determining that the region corresponding to the gray difference value is abnormal. The converted infrared image is converted from a visible light image; the gray value of each area is irrelevant to the temperature; when the temperature of a certain area is abnormal, the temperature is abnormal; and when the infrared images are abnormal, the gray values in the infrared images change, and the gray difference of the same area in the two images is obtained, and whether abnormality occurs or not is determined according to the relationship between the gray difference and a preset threshold value, and abnormality detection of all areas is achieved, and the infrared image anomaly monitoring method is not limited to the area with the highest temperature, and the abnormal area can be detected more effectively.

Description

technical field [0001] The present application relates to the technical field of image detection, in particular to an abnormality monitoring method, device, equipment and system based on dual-light fusion infrared images. Background technique [0002] Infrared imaging technology is based on the difference in infrared radiation of objects. Since different objects or different parts of the same object usually have different thermal radiation characteristics, such as temperature difference, emissivity, etc., after thermal infrared imaging, the objects in the infrared image because of It is distinguished by the difference in its heat radiation. [0003] At present, when the target object in the infrared image is monitored according to the infrared image, it is mainly through monitoring a preset monitoring area (the area with the highest temperature in the infrared image). The thermal imager searches and marks the area with the highest temperature in the current infrared image, ...

AI Technical Summary

Problems solved by technology

The thermal imager searches and marks the area with the highest temperature in the current infrared image, and sets this area as the monitoring area. When the temperature in this area is detected to rise, it indicates that the target object in this area is abnormal. For areas outside the monitoring area and It cannot play the role of monitoring, so it is impossible to detect abnormalities in other areas in the infrared image in time

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