1892results about How to "Enhancement effect is good" patented technology

The invention discloses a liver division method based on a CT image, which comprises the following steps: firstly, an MSCTP artery sequence image and a hepatic portal vein sequence image of the abdomen are pretreated, and the outline of the liver is automatically divided to obtain the liver image; secondly, a multi-scale filtering method based on a Hessian matrix is used for strengthening blood vessels, a dividing method such as region enlargement, and the like is used for dividing the hepatic portal vein, and a three-dimensional topology thinning method is used for picking up the central line of the hepatic portal vein; the blood vessels are identified mutually in classification; distance change and Voronoi arithmetic are then used for calculation, and the outline of the liver is used for covering values to obtain division results; the three-dimensional liver division results are finally reconstructed. The system comprises a liver division module, a blood vessel strengthening dividing and a thinning module, a blood vessel classifying module, a liver dividing module and a three-dimensional reconstructing module. The invention can reduce noise as well as avoid the vagueness of the boundary of the liver, effectively and exactly divides the outline of the liver, improves the division quality of the hepatic portal vein tree, and realizes accurate and rapid division of the liver.

The invention discloses a method and a system for enhancing features by the aid of bidirectional long-term and short-term memory recurrent neural networks. The method includes steps of training inputted features with noise and corresponding features without noise by the aid of bidirectional long-term and short-term memory recurrent neural network models; enhancing the features by the aid of the bidirectional long-term and short-term memory recurrent neural network models. The method and the system have the advantages that the long-term and short-term memory recurrent neural network models can be built in two directions by the aid of the inputted features, and accordingly models of contexts of current frames can be effectively built; long-term and short-term memory cells and certain control variables are introduced into the neural networks, and accordingly the models can be built in the dependence on the long contexts; excellent enhancement effects can be realized by the models owing to long-term dependence when the features are enhanced by the aid of the models, and accordingly the performance of voice recognition systems and audio event classification systems can be improved.

The invention discloses a hepatic vein vascular tree modeling method and a system thereof. The method comprises the following steps: using a liver model to obtain a liver image, and utilizing the multi-scale filtration method to strengthen a blood vessel; cutting a hepatic vein; extracting a central line of the hepatic vein; detecting and removing a link in the central line; and utilizing OSG/VTK to rebuild the hepatic vein vascular tree after pruning. The system comprises an image acquisition module, a blood vessel strengthening module, a blood vessel cutting module, a vascular tree central line extracting module and a vascular tree rebuilding module. The invention improves similarity functions in the filtering process, analyzes the characteristics of the ring and adopts corresponding unlinking methods for different links; and utilizes the relation of radius of blood vessel and the branch length when pruning. The invention effectively enhances the hepatic vein, improves the contrast between the blood vessel and liver parenchyma, and can extract more than five class branches, effectively unlink and prune the central line of the hepatic vein, rebuild the hepatic vein vascular tree and directly display the branches of the heptatic vein.

The invention relates to a low warping high surface gloss glass fiber reinforced polyester composite material and preparation method thereof. The composite material comprises the following components (wt%): 10-35% of polycarbonate, 20-45% of polybutylece terephthalate, 1-10% of flexibilizer, 3-10% of kaolin and 15-38% of glass fiber; 0.1-1% of antioxidant, 0.1-0.5% of ester exchange inhibiting agent and 0.1-3% of processing agent are prepared, silane coupling agent is utilized to process kaolin, then raw materials are placed into a mixing machine to be mixed for 2-5min, then mixture is placed into a screw machine for extrusion granulation, and meanwhile side charging is carried out on the glass fiber, the rotating speed of screw machine is 180-600rpm, and temperature is 240-280 DEG C, thus obtaining the product. The invention can obtain products with high surface gloss, excellent comprehensive mechanical properties and dimensional stability and especially ensures low warping property of product when being produced into injection moulding product.

The invention discloses an image type fire flame identification method. The method comprises the following steps of 1, image capturing; 2, image processing. The image processing comprises the steps of 201, image preprocessing; 202, fire identifying. The fire identifying comprises the steps that indentifying is conducted by the adoption of a prebuilt binary classification model, the binary classification model is a support vector machine model for classifying the flame situation and the non-flame situation, wherein the building process of the binary classification model comprises the steps of I, image information capturing;II, feature extracting; III, training sample acquiring; IV, binary classification model building; IV-1, kernel function selecting; IV-2, classification function determining, optimizing parameter C and parameter D by the adoption of the conjugate gradient method, converting the optimized parameter C and parameter D into gamma and sigma 2; V, binary classification model training. By means of the image type fire flame identification method, steps are simple, operation is simple and convenient, reliability is high, using effect is good, and the problems that reliability is lower, false or missing alarm rate is higher, using effect is poor and the like in an existing video fire detecting system under a complex environment are solved effectively.

The invention discloses novel nano calcium carbonate used for a plastic film and a preparation method thereof. A Ca(OH)2 suspension and CO2 are carbonized in a reactor to generate the nano calcium carbonate, and then the obtained nano calcium carbonate is subjected to liquid phase coating treatment or is directly subjected to mixed coating by using dried nano calcium carbonate and a surfactant to obtain nano calcium carbonate powder which is highly dispersed and surface-activated. The invention has the advantages that: the process is simple, the nano calcium carbonate is effectively dispersed in a polymer and a remarkable enhancement effect can be achieved on the premise of ensuring the transparency. The nano calcium carbonate prepared by adopting the invention can remarkably improve the mechanical property of a polyolefin material; after the nano calcium carbonate is used for polyethylene plastic, the tension strength of the material is greatly improved; and after the nano calcium carbonate is used for a polyolefin film, a fish eye is free, and the high transparency of the film is maintained.

The invention discloses a high-performance continuous synthetic fiber reinforced thermoplastic composite and a preparation method thereof. The composite comprises the following components including, by weight, 35-60 parts of reinforcing filler, 35-60 parts of thermoplastic resin and 0.5-5 parts of aids, wherein the reinforcing filler includes synthetic fibers which include, by weight, 55-95% of inorganic fibers and 5-45% of organic fibers. The continuous inorganic fibers and the high-performance organic fibers are mixed to reinforce the thermoplastic resin so as to improve the performance of the composite, and advantages of various fibers are integrated to obtain the continuous fiber reinforced thermoplastic composite which is light in weight, high in strength and high in modulus while impact resistance and fatigue resistance are particularly improved. Mixing a small quantity of expensive high-performance organic fibers with the inorganic fibers can achieve better enhancing effect while cost is effectively reduced, so that higher using requirements of materials can be met.

A system, device within a system, and a method for enhancing visual perception in a two-dimensional image is disclosed, providing the induction of retinal disparity in the viewer by a device with which the two-dimensional image is viewed. With fusion of the retinally disparate images of the two-dimensional image, the viewer experiences the enhancement of his or her visual perception in the two dimensional image, which includes enhancement of depth perception and enhancement in clarity perception.

The invention relates to a basalt fiber reinforced wood-plastic composite material. The composite material is characterized by comprising 5 to 30 parts of chopped basalt fiber with length of 2 to 15 millimeters and diameter of 2 to 25 microns, 21 to 66 parts of wood fiber and 21 to 66 parts of plastic material in part by weight. A preparation method comprises the following steps of: weighing each component according to a proportion, mechanically mixing the components and then feeding the mixture into a double-roll open mill to perform plasticizing and mixing, controlling the temperatures of front and rear rolls at 160 DEG C and 170 DEG C respectively, and mixing the components for 10 minutes till the system is mixed uniformly, namely no BF is observed from the surface; crushing the uniformly plasticized material by using a crusher till the diameters of the particles of the material are not more than 20 millimeters; and heating, mold-pressing and molding the crushed material by using a flat vulcanizing machine to obtain a plate sample. The tensile strength, bending strength and impact strength of the basalt fiber reinforced wood-plastic composite material obtained by the method are improved by over two times, and the composite material has good economic and social benefits.

The invention belongs to the technical field of rubber sealing material, and relates to a preparation method of a high temperature and high pressure resistant rubber sealing material which can be applied to an oilfield deep oil production engineering process; first, 100 parts of hydrogenated nitrile rubber is weighed by parts in weight, put into a mixing mill to be plasticated; and then 2 to 20 parts of metal oxide, 1 to 5 parts of stearic acid, 5 to 100 parts of acrylate, 10 to 70 parts of carbon black, 1 to 6 parts of aging inhibitor, 5 to 30 parts of plasticizer, 2 to 10 parts of antiscorcher, 2 to 10 parts of vulcanizer and 2 to 10 parts of vulcanization aid are sequentially added into the mixing mill to be mixed uniformly; mixing rubber is vulcanized primarily in a plate vulcanizing press, the vulcanizing temperature is controlled to be 150 to 180DEG C, the vulcanizing time is 20 to 40min, and the vulcanizing pressure is 10 to 20MPa; after being taken out from the plate vulcanizing press, the rubber is secondarily vulcanized at 150 to 180DEG C to obtain vulcanized rubber with excellent performance; and the preparation method of the high temperature and high pressure resistant rubber sealing material has the advantages of simple process, convenient operation and use, low preparation cost, excellent mechanical performance, and in particular better high-temperature mechanical performance.

The invention discloses a rapid color image enhancement method based on Retinex theory. In the method, firstly, a new color space is structured, thus simplifying the complicated operation in format conversion and also ensuring bright color; secondly, the convolution operation is simplified into averaged value calculation by pre-structuring an average template, thus greatly reducing operation frequency; finally, in the post-treatment stage of the image, the distribution of the pixel value is adjusted through the adaptive parameter selection. The adoption of the invention can greatly reduce operation frequency, enhance the processing efficiency and effectively avoid the phenomenon of color distortion possibly existing in the ordinary multi-scale Retinex method. The method is in particular suitable for rapid and enhancement processing of images in the weather such as fog, mist, etc.

The invention discloses an alkali-activated high-performance water reducer and a preparation method thereof. The alkali-activated high-performance water reducer comprises a composite alkali-activator, a composite water reducer, black liquor of a paper mill, a composite retarder, a composite air entraining agent, a composite thickener, a composite regulator and the balance of water. The preparation method for the alkali-activated high-performance water reducer comprises the following steps of: adding the components and water to a reaction kettle in sequence; and mixing and carrying out a reaction on the components and the water under the room-temperature environment to obtain the finished product. The alkali-activated high-performance water reducer disclosed by the invention can activate the cementitious activity of the mixed materials such as slag, coal ash, gangue and the like, has excellent adaptability to different cements and highly doped concrete, and can greatly reduce the adding amount of cement clinker. The alkali-activated high-performance water reducer has the characteristics of a high water-reducing agent, good peaceability, a remarkable reinforcing effect, a good collapse preventing effect, adjustable setting time and the like. Moreover, the external additive has a simple production process, no pollution, low energy consumption and low cost, can solve an environmental pollution problem of the black liquor of the paper mill, and has good practicability.

The invention discloses an image enhancement and partition method, which comprises the following steps of I, image enhancement: a processor and an image enhancement method based on fuzzy logic are adopted for performing enhancement processing on an image needing to be processed, and the process is as follows: i, converting from an image domain to a fuzzy domain: mapping the grey value of each pixel point of the image needing to be processed to a fuzzy membership degree of a fuzzy set according to a membership function (shown in the specifications); ii, performing fuzzy enhancement processing by utilizing a fuzzy enhancement operator in the fuzzy domain; iii, converting from the fuzzy domain to the image domain; II, image partition: partitioning a digital image subjected to enhancement processing, i.e. a to-be-partition image, according to an image partition method based on a three-dimensional fuzzy division maximum entropy. The method is simple in steps, reasonable in design, convenient to realize, good in processing effect and high in practical value, and an image enhancement and partition process can be simply, conveniently and quickly completed with high quality.

The invention discloses a preparation method of a nanocrystals cellulose/carbon black/rubber composite. The nanocrystals cellulose (NCC) is prepared through the acidolysis of microcrystalline cellulose, is a rod-like crystal product with the diameter of 20-60nm and the average length of 300nm, is characterized by reproducibility, low density, orientation, high strength and the like and can be used as the novel reinforced material of rubber; the NCC has simple preparation method and low price and is accessible. Researches prove that the reinforcing effect of the NCC to rubber is better than carbon black, the thermal-oxydative aging property of rubber can be well improved, the heat build-up of the composite can be reduced, and the traditional rubber process technology can also be adopted to prepare the NCC/carbon black/rubber composite. The NCC/carbon black/rubber composite prepared by the method can be used to prepare various vulcanized rubber products.

The invention belongs to the technical field of building materials and particularly relates to low-shrinkage, low-viscosity and ultrahigh strength concrete. Based on a single formula proportional dosage, the low-shrinkage, low-viscosity and ultrahigh strength concrete comprises the following components by weight: 250-300kg of cement, 120-180kg of microspheres, 90-120kg of mineral powder, 820-860kg of machine-made sand, 950-1000kg of gravels, 7-11kg of a water reducer and 115-125kg of water. The components are mixed with stirring for 1.5-2 minutes to obtain a concrete mixture. The concrete provided by the invention is less in binding material use, the total shrinkage percentage is less than (0.03-0.04per mill), the emptying time of an inverted slump cone is 5-10 seconds, the viscosity of mortar in same proportion is 20-28 Mp.s, the 28d compressive strength is 110-130MPa, and the 56d compressive strength is 120-135MPa. The concrete has the characteristics of being low in bonding material use, short in stirring time, excellent in working performance and low in comprehensive cost, and can be produced on a large scale and has a broad application prospect.

The invention discloses a preparation method for a nanocrystals cellulose/white carbon black/rubber composite material. The nanocrystals cellulose (Nanocrystals Cellulose, called NCC for short) is a rod-shaped crystallized product which is obtained by performing acidolysis on microcrystalline cellulose, has the diameter of between 20 and 60 nm and the average length of 300 nm, can serve as a novel reinforcing material for rubber, and has the characteristics of reproducibility, low density, orientation, high strength and the like; moreover, the preparation method is simple and convenient; the cost is low; and the NCC is easy to obtain. Researches discover that a reinforcing effect of the NCC to natural rubber is superior to that of white carbon black; the thermal-oxidative ageing property of the natural rubber is improved very well; simultaneously the heat generation of the composite material is reduced; and the nanocrystals cellulose/white carbon black/a rubber composite material can be prepared by adopting a conventional rubber processing process. The nanocrystals cellulose/white carbon black/a rubber composite material prepared by the invention can be used for manufacturing various vulcanized rubber products.

The amphoteric carboxylic acid comb grafted copolymer as concrete super-plasticizing agent is prepared through the following steps: 1) free radical copolymerizing reaction of four kinds of monomers in certain proportion in water soluble medium; 2) crosslinking reaction through introducing crosslinking agent after the polymerization. The present invention proposes that the amphoteric ionic polymer can raise the saturated added amount of concrete super-plasticizing agent, and introduces amphoteric ion concept into the molecular design of concrete admixture. The concrete super-plasticizing agent of the present invention has high water reducing rate, can eliminate the environmental pollution caused by concrete water reducing agent and reduce the added amount while ensuring the outstanding dispersivity and slump maintaining capacity.

The invention provides a preparation method of a surface-enhanced Raman scattering substrate of a metal particle array. The preparation method comprises the following steps of: preparing a porous silicon nanometer wire array (PSNWA) as a substrate material through a metal-assisted chemical corrosion method; reducing metal ions in a metal salt solution to elementary substance through an impregnation-reduction method, and obtaining the surface-enhanced Raman scattering substrate after uniformly depositing the elementary substance on the surface of the PSNWA in a nanometer particle manner; and inducing a substance to be detected into an active substrate surface through an infiltration or titration method, namely carrying out Raman spectrum detection. The preparation method provided by the invention has the advantages of low cost, simple process, simplicity and convenience in operation, high sensitivity of SERS (Surface-Enhanced Raman Scattering) signals, and good repeatability; and an SERS light spectrum has very good stability and repeatability. The invention provides a molecule detection and trace quantity analysis method with high speed, high sensitivity and high reliability. The preparation method provided by the invention needs extremely less sample amount, is suitable for various liquid samples, and has wide application prospects of rapid identification of clinical biological molecules, trace quantity chemical substance detection, biological sample analysis and the like.

The embodiment of the invention discloses an image enhancement method and an image enhancement device. The method comprises the following steps of: performing gray level stretching on a target image and performing gray level mapping on the stretched image to obtain an overall gray level mapping value of the target image; segmenting the target image into image units, wherein a square area consisting of every nine image units is a local block, and a square area consisting of every four image units in the local block is an image block; performing gray level stretching on four image blocks in each local block and performing gray level mapping on the stretched image blocks respectively to obtain gray level mapping values of the image blocks; weighting and summing the gray level mapping values of the image blocks to obtain a local gray level mapping value of the target image; and performing arithmetic average on the overall gray level mapping value and the local gray level mapping value to obtain a gray level enhancement value of the target image. According to the embodiment of the invention, the enhancement effect of images can be improved and the user requirements can be met.