Video monitoring method based on image enhancement
A video monitoring and image enhancement technology, applied in the field of image processing, can solve problems such as difficult to accurately capture details in the furnace that cannot be seen, and achieve the effect of fast speed, simple implementation and high efficiency
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Embodiment 1
[0038] An embodiment of a video monitoring method based on image enhancement in the present invention is basically as attached figure 1 shown, including steps:
[0039] S1. Turn on the infrared night vision function of the camera;
[0040] S2, supplementing light in the calcium carbide furnace;
[0041] S3, the camera collects the video in the calcium carbide furnace in real time;
[0042] S4. Perform enhanced processing on the collected video in real time;
[0043] S5. According to whether the details in the calcium carbide furnace can be clearly seen in the enhanced video, it is judged whether the collection needs to be terminated: if the details in the calcium carbide furnace can be clearly seen in the enhanced video, the collection is ended; otherwise, if the enhanced processing If the details in the calcium carbide furnace cannot be clearly seen in the subsequent video, continue to collect;
[0044] S6. Outputting the enhanced video.
[0045] The specific implementat...
Embodiment 2
[0072] The only difference from Embodiment 1 is that when clipping the histograms obtained by statistics in each region that exceed the upper limit of 255 so that their amplitudes are lower than the set upper limit, the floating upper limit of the gray value needs to be considered, that is, After adding the floating upper limit on the basis of the set upper limit, the clipping is performed. Specifically, the floating upper limit is the difference between the gray value at the brightest position and the gray value at the darkest position in the image, such as the gray value at the geometric center of the calcium carbide furnace and the gray values at the four corners of the image. value difference.
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