Moving image defogging method for capsule floor heating system

Abstract

The present invention claims a moving image defogging method for a capsule floor heating system. The method comprises the steps of: acquiring a moving image of a floor heating capsule system, enhancing an original fog image by using sub-block partially overlapped local histogram equalization, and obtaining the optimized transmittance through a DCP algorithm; using constraint characteristics of anMRF model to the image structure details to perform modeling on the transmittance so as to further refine the transmittance; and through the salient features of the sky domain, obtaining the atmospheric light value by using the sub-block search method. According to the method provided by the present invention, a more accurate transmittance image can be obtained, image structure information can beeffectively maintained, and the defogged image presents rich details and a more realistic color visual effect; and the capsule floor heating system is easy and convenient to install, and an intuitiveand vivid visualized modular floor heating track is innovatively invented.

Description

technical field [0001] The invention belongs to the technical field of floor heating, and in particular relates to a moving image defogging method of a capsule floor heating system. Background technique [0002] Among the existing floor heating equipment, hydroelectric floor heating, the medium is water and electricity, heated by water and electricity, and then passed through the pipeline and the insulation layer without moving, directly buried and backfilled for secondary heat dissipation, consumes a lot of heat resources, and the initial temperature is slow , the operating cost is high, and the unsafe problem of water leakage and electricity leakage in concealed projects cannot be avoided, and the worry about the future is that it cannot be repaired. Existing floor heating uses water or electricity to flow in the pipeline, and the heat transfer is realized through the flow of water, and the heat storage time is longer. The traditional concept is that water or electricity m...

AI Technical Summary

Problems solved by technology

In addition, when the image moves under the ground, due to the temperature difference between the inside and outside, the temperature of the capsule and the temperature difference in the space inside the track, the lens captured by the camera is easy to capture a foggy image, which leads to unsatisfactory monitoring outside and cannot achieve clear monitoring. Therefore, it is necessary to propose a clear method of monitoring and processing

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