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78results about How to "No artifacts" patented technology

Method for spraying to green side slope of hard rock with joints being not developed

A method for spraying to green a side slope of hard rock with joints being not developed comprises the steps of processing a slope surface, setting up a simple scaffold, using a compressed air drilling machine for drilling vegetative holes, filling nutrient soil in the vegetative holes, laying a metal net and binding vegetative strips, spraying and seeding matrix materials which can instantly make artificial soil with good water stability performance in the slope surface, and conducting necessary maintaining management in the seedling stage of plants. The method is a spray-seeding technology directing at the side slope of the hard rock with the joints being not developed, and common construction methods can not be implemented on the slope surface of the type. The method for spraying to green the side slope of the hard rock with the joints being not developed has the advantages of being simple, strong in operability, low in cost and suitable for various hard rock side slopes with the gradient less than 80 degrees. After spray-seeding, phytocoenosium is formed, wherein ligneous plants are mainly included, shrub and herbaceous plants are combined, the phytocoenosium is long lasting and stable, and is in harmony and consistency with the surrounding ecological environment, after closing of the plants, cultivating does not need any more, and the slope surface of the hard rock with the joints being not developed can be greened and beautified permanently.
Owner:青岛冠中生态股份有限公司

Medical CT (computed tomography) machine

The invention provides a medical CT (computed tomography) machine, which can realize the whole body scanning in a standing state. The medical CT machine comprises a scanning host machine, wherein the scanning host machine is provided with a scanning hole allowing a human body to enter, the scanning hole extends in a vertical direction for forming a human body accommodating cavity, and the scanning host machine is connected with an ascending and descending device used for driving the scanning host machine to ascend and descend. The direction of the human body accommodating cavity is the same as the human body supporting direction by the ground, so the human body can directly sand or sit on the ground, components for supporting the human body are prevented from entering the scanning hole, fake images cannot be generated, and the scanning agent quantity addition for generating clearer images is also not needed. When the human body is in the standing body posture, the symptoms such as knee joint standing pain only generated in the standing or sitting posture can be more really shown, the effective examination and pain part state confirmation can be conveniently carried out, the ascending and descending device can drive the scanning host machine to ascend and descend, different positions of the human body are scanned under the condition that the human body stilly stands, and the whole body scanning is realized.
Owner:NEUSOFT MEDICAL SYST CO LTD

Series of multi-layered zebra color changing glaze and product preparation method

ActiveCN109180001AAppropriate thicknessCrystalline substances are stableProduct patternNepheline syenite
The invention discloses a series of multi-layered dappled color changing glaze. The color changing glaze is composed of bottom glaze, middle glaze and surface glaze. The bottom glaze comprises: 15-20parts of medium temperature 1# lead-free frit, 15-20 parts of nepheline syenite, 35-40 parts of medium temperature 2# lead-free frit, 5-10 parts of quartz, 5 parts of calcium carbonate, 3 parts of barium carbonate, 10 parts of kaolin, and 3-6 parts of a coloring oxide or lead-free ceramic coloring material. The middle glaze comprises 40-45 parts of nepheline syenite, 15-20 parts of medium temperature 1# lead-free frit, 10 parts of calcined talcum powder, 8-10 parts of quartz, 15 parts of calcium carbonate, 7 parts of calcined zinc oxide, 5 parts of kaolin and 3-12 parts of a coloring oxide orlead-free ceramic coloring material. The surface glaze comprises 20-25 parts of nepheline syenite, 10-15 parts of boron silicate, 10-15 parts of low temperature lead-free frit, 8-10 parts of quartz, 15 parts of calcium carbonate, 3 parts of barium carbonate, 7 parts of calcined zinc oxide, 7 parts of glass powder, 10 parts of kaolin and 3-5 parts of vanadium pentoxide. A preparation method comprises preparation of three layers of glaze, glazing and firing. The product patterns have three-dimensional aesthetic feeling.
Owner:FUJIAN JIAMEI GRP

TR (Transverse Rotation) tomography scan projection rearrangement method and device

The invention provides a TR (Transverse Rotation) tomography scan projection rearrangement method and device. The method comprises the steps of determining a projection region range of a parallel beamsinogram of an object according to a TR scan sinogram of the object and determining a coordinate of each unknown sample point in the parallel beam sinogram within the projection region range, whereinthe TR scan sonogram is obtained by scanning the object through utilization of a fan beam scanner; for any unknown sample point, carrying out coordinate conversion on the coordinate of the unknown sample point and mapping the obtained coordinate of the unknown sample point to a target coordinate position in the TR scan sinogram; and interpolating the TR scan sonogram, obtaining a gray value of the target coordinate position, and taking the gray value of the target coordinate position as the gray value of the unknown sample point. According to the method and the device, the parallel beam sonogram obtained through conversion according to the TR scan sinogram is relatively accurate, a sectional image obtained through CT reconstruction based on the parallel beam sonogram is smooth in edge, anartifact phenomenon is avoided, and accurate image reconstruction can be realized when a fan beam angle is relatively large.
Owner:BEIHANG UNIV

Method for converting high-resolution monocular 2D video into binocular 3D video

The invention discloses a method for converting a high-resolution monocular 2D video into a binocular 3D video, and the method comprises the steps: training a convolution network of a U-shaped structure at a depth information extraction stage through employing a conventional 3D film as a source data set, obtaining a network model with excellent performances, and carrying out the frame-by-frame depth estimation of the 2D video; and performing edge-preserving smooth optimization processing on the depth map by using a small neural network. In the viewpoint synthesis stage, a camera-parameter-freeviewpoint synthesis algorithm based on a depth map is provided, and left and right virtual viewpoints are synthesized by adopting a symmetric strategy of rendering from the middle to two sides. And finally, in an image restoration stage, an image restoration algorithm based on block matching in combination with time domain information is proposed, and crack holes in left and right viewpoints arefilled and restored. According to the invention, 2D-to-3D video conversion can be carried out on an original 2D video without any related parameter information, so that not only can a high-resolutionpicture be effectively processed, but also the conversion effect is good and the conversion speed is high.
Owner:SOUTHEAST UNIV

Image enhancement method based on deep learning

The invention discloses an image enhancement method based on deep learning, and the method comprises the steps: selecting an image shot by a professional photographer, enabling a professional retouching person to carry out the retouching of the image, constructing a neural network training data set, and dividing the neural network training data set into a training set Ttrain and a test set Ttest; adopting a U-Net neural network S(.) with global features; inputting an original image SINput subjected to data enhancement and priori illumination estimation I, and outputting enhanced Routput and Ioutput; randomly initializing related parameters such as weight parameters, learning rates and batch sizes in the neural network S(.); training the image enhancement neural network model by adopting an error back propagation algorithm, and calculating loss based on the weight map so as to obtain a depth image enhancement model. Compared with the prior art, the method has the advantages that the color is more natural, the method is more attractive, the contrast ratio is better, the difference between images modified by a professional image retoucher is smaller, the artifact phenomenon is avoided, the reasoning time is very short, and the method can be operated in real time at the ms level on equipment such as a mobile phone and the like.
Owner:杭州喔影网络科技有限公司

Underwater image enhancement and restoration method based on convolutional neural network

ActiveCN111462002ASolve the problem of missing training dataQuality improvementImage enhancementImage analysisTexture enhancementImage pair
The invention discloses an underwater image enhancement and restoration method based on a convolutional neural network, and the method comprises the steps: degrading a plurality of conventional imagesthrough a to-be-processed underwater image, forming a training set through the plurality of conventional images and the corresponding degraded conventional images, and sequentially inputting the training set into the convolutional neural network for training; then, inputting the underwater image to be processed into the trained convolutional neural network, and outputting a first image; carryingout CIELAB color space transformation on the image, and extracting an L brightness channel, an A color channel and a B color channel of the image; and finally, performing texture enhancement on the to-be-processed underwater image, replacing the L brightness channel of the first image with the image after texture enhancement, and combining the image after texture enhancement with the A color channel and the B color channel in the first image to obtain a final image. According to the method, the problem of missing of underwater image training data is solved, complex calculation of a traditionalunderwater imaging model is avoided, and the quality of underwater images is well improved.
Owner:CHONGQING UNIV OF TECH

Control system and method of ultrasonic probe capable of automatically smearing coupling agent

InactiveCN110115598AOvercoming scanning errorsImprove efficiency and convenienceInfrasonic diagnosticsSonic diagnosticsSystem monitorUltrasound image
The invention belongs to the technical field of ultrasonic probes and discloses a control system and method of an ultrasonic probe capable of automatically smearing a coupling agent. The control system of the ultrasonic probe capable of automatically smearing the coupling agent comprises an ultrasonic image acquisition module, an operation module, a central control module, a calibration module, animage amplification module, a switch trigger module, a coupling agent injection module and a display module. The system monitors the compensation time difference of signal transmission in each transmission channel in real time through the calibration module; the time interval generated by current equipment is precisely monitored, and then alignment compensation is automatically carried out on each channel according to the compensation time difference; the convenience and use efficiency of clinical diagnosis of ultrasonic imaging equipment are improved, and the quality of ultrasonic diagnosisimages is improved; meanwhile, ultrasound images amplified by the image amplification module can maintain the details of original images, and pseudomorphism cannot occur; the medical clinical requirements are met, and convenience is provided for the diagnosis of doctors.
Owner:QINGDAO WOMEN & CHILDREN HOSPITAL

Guided filter parameter automatic adjustment-based remote sensing image fusion method

The invention provides a guided filter parameter automatic adjustment-based remote sensing image fusion method, and aims to improve the resolution of a fused image. The method is implemented by the steps of obtaining to-be-fused remote sensing images; performing multi-scale transformation on the to-be-fused remote sensing images; obtaining low-frequency weight graphs of the to-be-fused remote sensing images; obtaining high-frequency weight graphs of the to-be-fused remote sensing images; setting guided filter adjustment parameters, and calculating an iterative frequency of a window radius of aguided filter; obtaining redefined low-frequency weight graphs of the to-be-fused remote sensing images; performing weighted fusion on corresponding low-frequency coefficients by utilizing the redefined low-frequency weight graphs of the to-be-fused remote sensing images; obtaining redefined high-frequency weight graphs of the to-be-fused remote sensing images; performing weighted fusion on corresponding high-frequency coefficients by utilizing the redefined high-frequency weight graphs of the to-be-fused remote sensing images; obtaining the fused remote sensing image; and obtaining the optimal fused remote sensing image. The method can be used for image analysis and processing in the fields of geology, weather and the like.
Owner:XIDIAN UNIV
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