6results about How to "Restore color" patented technology

The invention provides a coal mine underground video dust filtration monitoring method based on model fusion, and belongs to the technical field of coal mine underground video dust filtration monitoring. The technical problem to be solved is to provide the coal mine underground video dust filtration monitoring method based on model fusion. According to the technical scheme, video data of an underground operation area environment are collected in real time through a camera installed in an underground coal mine, the video data are uploaded to a server arranged in a roadway in real time, the server firstly intercepts image frames from the underground coal mine video, timestamp marking is conducted on the image frames, and the image frames are sent to the roadway; carrying out histogram equalization preprocessing on each image frame, and improving the brightness and contrast of the collected video image to realize image enhancement; the server further adopts a dark channel prior method to carry out data recovery on the video image, a fuzzy effect caused by dust on the image is removed, and the real definition of the image is recovered; the method is applied to coal mine underground video dust filtration monitoring.

This invention provides the application of lecithin in the preparation of drugs for the prevention and / or treatment of infertility, belonging to the field of biomedical preparation technology. Specifically, it relates to the application of lecithin in the preparation of drugs for the prevention and / or treatment of infertility, recurrent miscarriage, and / or uterine decidualization disorders. The lecithin can effectively reduce TNF-α levels in early pregnancy, improve uterine decidualization disorders, and increase endometrial receptivity, thereby increasing pregnancy rates and providing a new approach for the treatment of infertility and recurrent miscarriage.

The invention relates to the technical field of daily chemicals, in particular to an antibacterial linen detergent which comprises a surfactant, a builder, a unique composite antibacterial system and a composite biological enzyme preparation. The composite antibacterial system is formed by compounding a double-chain quaternary ammonium salt, a guanidine polymer and a plant-source antibacterial synergist according to a specific proportion, the composite antibacterial system and a biological enzyme preparation containing protease, lipase, amylase and cellulase generate a synergistic effect, and through a mechanism of first enzymolysis cleaning and then multi-target synergistic sterilization, the composite antibacterial system can be used for preparing a multi-target antibacterial agent under the low-temperature condition of 40-60 DEG C; the efficient decontamination on the linen and the broad-spectrum and lasting killing on bacteria and fungi can be realized, and the drug resistance risk of microorganisms is obviously reduced. The product does not contain a chlorine bleaching agent, is environment-friendly and safe, has small damage to fabrics, and is particularly suitable for hygienic washing of linen in the industries of hotels, hospitals and the like.

The invention discloses a deep learning-based movie image object recognition and automatic coloring restoration system, which relates to the technical field of image recognition and comprises an image input module for receiving a to-be-restored movie image frame; the object recognition module is used for recognizing a specific object appearing in the image frame based on a deep learning algorithm; the color mapping module is used for coloring and repairing the identified object; the repairing processing module is used for repairing the recognized and colored object based on an automatic algorithm and recovering the color and details of the object; and the image output module is used for outputting the repaired movie image frame. According to the method, the object in the image is automatically recognized and colored and repaired, the complexity and low efficiency of the traditional manual repairing process are avoided, the color and details of the object can be intelligently recovered by the system according to the object features in the image through the deep learning model, feature extraction and object detection are carried out through the multilayer convolutional neural network, and the image quality is improved. The system can efficiently identify the specific object in the image.

The invention relates to the technical field of whitening gels, in particular to an oral cavity cleaning and nursing composition for tooth whitening, which is prepared from the following components: a thickening agent, an activating agent, an auxiliary agent, a grafting modified compound, urea peroxide, phthalimide peroxyhexanoic acid, glycerol, ammonium persulfate and water, the tooth bleaching and whitening gel prepared by the invention has the effect of removing exogenous stains, and the active ingredients in the tooth bleaching and whitening gel are subjected to chemical reaction with attached colors on the surfaces of the teeth to play a role in decomposing and removing hyperpigmentation on the teeth by coating the surfaces of the teeth with the tooth bleaching and whitening gel, so that the tooth bleaching and whitening gel can be used for whitening the teeth. Therefore, the tooth whitening agent is separated from the tooth surface and recovers the original color of the tooth, so that the whitening effect is achieved.

The application provides an effect and application of CREPT in fatty liver disease and complications thereof, in particular, application of CREPT gene or protein as a target or a reagent for targeting the CREPT gene or protein in treatment of metabolic-related fatty liver disease and fatty liver disease complications or in preparation of a medicine for treating metabolic-related fatty liver disease and fatty liver disease complications, and the metabolic-related fatty liver disease and fatty liver disease complications are treated by reducing the expression of the CREPT gene or reducing the function or inactivating the CREPT protein. The present application firstly finds that the CREPT is closely related to the metabolic-related fatty liver disease: the systemic or local medication can effectively treat the metabolic-related fatty liver disease and fatty liver disease complications by reducing the expression of the CREPT.