Tissue culturing monitoring method and system based on image mist elimination

Abstract

The invention relates to a tissue culturing monitoring method based on image mist elimination. The tissue culturing monitoring method includes the steps of obtaining real-time monitoring image information and real-time environment information of a tissue culturing monitoring point in a tissue culturing room; preprocessing the real-time monitoring image information to obtain a preprocessed image, and then obtaining a dark channel image of the preprocessed image; carrying out bilateral filtering on the dark channel image, calculating an atmospheric optical value A according to the bilaterally-filtered dark channel image, and calculating a transmittance predicted value according to the real-time monitoring image information; obtaining a mist-eliminated monitoring image according to a mist image forming model; sending the real-time monitoring image information, the real-time environment information and the mist-eliminated monitoring image to a user. The invention further discloses a tissue culturing monitoring system based on image mist elimination. By means of the tissue culturing monitoring method and system, automatic real-time collecting is achieved in the whole process, and the labor cost is greatly saved; preprocessing and mist elimination processing are carried out on obtained tissue culturing real-time monitoring information at the server side, and therefore the influences of mist on a tissue culturing monitoring picture are reduced as far as possible.

Description

technical field [0001] The invention relates to the technical field of video monitoring image processing, in particular to a tissue culture monitoring method and system based on image defogging. Background technique [0002] At present, due to the scattering effect of a large number of suspended particles, the visibility of the atmosphere is reduced, and the color and contrast of outdoor images are degraded, which affects the extraction of information in the image, and also reduces the outdoor clarity, resulting in frequent traffic accidents. Therefore, image defogging has become an important research topic in the field of image processing and computer vision, and it is also one of the problems that people urgently solve. Removing fog in video and improving image quality is a key technology to enhance the value of video surveillance systems. With the continuous development of technology, it has become possible to defog the scene images in foggy weather, and the clarity and r...

AI Technical Summary

Problems solved by technology

It can be seen that the above-mentioned application of image defogging is mostly for the processing of outdoor foggy images, and tissue culture is closed growth, and a layer of water mist is often attached to the wall of the tissue culture bottle, which makes it difficult to clearly see the image when viewed through remote monitoring. See the real growth of plants in airtight tissue culture flasks

At present, most of them rely on manual inspection of plant diseases and insect pests, which makes it impossible to detect plant diseases and insect pests in time, and manual inspection requires a lot of manpower. However, when tissue culture is grown in a sterile environment, people themselves will bring in bacteria, which will increase the number of groups. The possibility of cultivating seedlings infected with germs, and it is not convenient for manual management, and it is impossible to view the growth of tissue culture remotely in real time, which will consume a lot of labor costs

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