813results about How to "Improve the experimental effect" patented technology

The invention discloses an automatic image defogging method based on dark primary color, which is used for solving the problem of information loss because the traditional defogging method highlights details by improving foggy day image contrast. The method provided by the invention comprises: A. calculating the dark primary color of the primary fog images and relevant atmosphere light value; B. according to the luminance component image of the original fog image, calculating a transmission image reflecting local fog concentration in an atmospheric scattering model; and C. determining the defogged primary image according to the fog image, the transmission image and the atmosphere light value in the atmospheric scattering model. Because of being built on the basis of a physical model, the invention can process various fog images in a self-adaption mode; and defogged images have favorable edge details and ideal contrast, and the clarifying effect is superior to the traditional defogging method based on image enhancement.

The invention discloses a CNN (Convolution Neural Network) based quick image search method. The method includes: a first step, extracting features of an image to be searched through a CNN so as to obtain a vector feature representing the image; and a second step, performing k neighbor search on the vector feature in a feature database. The method selects CNN features based on a GOOGLENET network, which is a breakthrough in the field of computer vision after deep learning rising; the method is good in robustness; after the CNN features are extracted, based on the PQ quick search idea and an inverted strategy of text search, the method considers the personal data size during application, reasonably arranges a system parameter, and improves reordering of search results; a quick ordering strategy is adopted, and then the detection time is shortened, and the detection efficiency is improved.

The invention discloses a carbon-based compound fertilizer containing probiotic organisms. The carbon-based compound fertilizer comprises biomass carbon black and probiotics, wherein the biomass carbon black is prepared by the following method: carrying out low-temperature carbonization on agricultural wastes as biomass raw materials to form porous biomass carbon black. The probiotics are prepared by the following method: carrying out amplification culture on beneficial microorganisms and fermenting to form probiotic liquid; and mixing and then carrying out solid-liquid separation and expansion drying to form the probiotics, wherein the beneficial microorganisms are selected from one or more of peanibacillus ploymyxa, trichoderma, nitrogen-fixing bacteria, root nodule bacteria, phosphate-solubilizing bacteria, potassium bacteria, cellulose decomposition bacteria, antibiotic-producing strain and photosynthetic bacteria. The carbon-based compound fertilizer disclosed by the invention is made of microporous biomass carbon, and thus the carbon-based compound fertilizer has extremely-strong adsorption capacity and favorable light absorbing and temperature increasing effects; in addition, the probiotics of the carbon-based compound fertilizer are high in cell viability; and the carbon-based compound fertilizer can be preserved at normal temperature for a long time, can be mixed, granulated and dried with other organic and inorganic fertilizers without being influenced and is remarkable in synergistic action.

The invention discloses a biochar base soil modifier and a preparation method thereof. The biochar base soil modifier comprises the following components in percentage by weight: 95.5-98.5% of biomass carbon black and 1.5-4.5% of probiotics agent. Agricultural waste serves as a biomass raw material to carry out low-temperature carbonization to form the porous biomass carbon black; beneficial microorganism is enlarged and cultivated and is fermented into probiotics liquid; after mixing, solid and liquid separation, flash evaporation and drying are carried out to obtain the probiotics agent; the beneficial microorganism is selected from one or more of paenibacillus polymyxa, trichoderma strains, nitrogen-fixing bacteria, rhizobium, phosphate solubilizing bacteria, potassium bacteria, cellulose decomposition bacteria, antibiotic generation bacteria and photosynthetic bacteria. The biochar base soil modifier disclosed by the invention adopts the microporous biomass carbon which has strong adsorption capability and good light absorption and temperature-increasing effect. The probiotics agent has a high survival rate and can be stored for a long time at the normal temperature, the fertilizer synergy action is obvious, and the soil borne disease can be effectively prevented and cured.

The invention belongs to the field of small unmanned gyroplane autonomous flight control research, provides a multi-sensor information fusion-based method for measuring the height of a small unmanned gyroplane, and aims at providing real-time, precise and reliable height information for the small unmanned gyroplane. The adopted technical scheme is as follows: a sonar arranged at the bottom of the unmanned gyroplane is used for acquiring the distance from the sonar to the ground, and the distance is used as a sonar measurement height; an accelerometer is utilized for acquiring the triaxial accelerated speed of the unmanned gyroplane under an object coordinate system, thereby acquiring the vertical acceleration in a geodetic reference system; a barometer is used for measuring barometric pressure information of the unmanned gyroplane at certain height, comparing the barometric pressure information of the unmanned gyroplane at certain height with ground barometric pressure information, substituting a comparing result into a standard atmosphere model to obtain the height measurement information based on the barometric pressure measurement; and the multi-sensor information fusion height measurement method is adopted for obtaining the high-frequency real-time height and vertical velocity information by use of the inputs. The method is mainly applied to the unmanned gyroplane autonomous flight control.

The invention discloses a method for detecting network attack behaviors, which comprises the following steps: (1) reconstructing a network traffic time sequence to be detected to a multi-dimensional phase space according to the complicated non-linear property of network traffic, and establishing a statistic distribution module according to a normal network traffic time sequence; (2) carrying out smoothing treatment on the network traffic time sequence to be detected, and dividing into sub-windows; and (3) obtaining a parameter sequence according to parameters of all the sub-windows of the network traffic time sequence after the smoothing treatment according to the calculation of the statistic distribution module, and establishing a comprehensive decision module according to the parameter sequence for detecting abnormality. The network traffic is re-constructed to the multi-dimensional space, thereby fully displaying information hidden in a one-dimensional space, reducing the computational complexity of each dimensional space and improving the running speed; and the method can improve the robustness and the accuracy of a system and is characterized by low computational complexity, high detection rate and low false detection rate.

The invention relates to a large-size and multi-crack simulation device and method for propping agent transportation. The device comprises a crack unit (20), wherein the crack unit (20) comprises a main crack (201) and multi-stage branch cracks (202) arranged on at least one side of the main crack. The device is characterized in that the main crack (201) and the branch cracks (202) are connected through connection parts (203), and the connection parts (203) are provided with control valves (204) which are used for controlling the communicating state between the main crack (201) and the branch cracks. According to the experimental scheme, the control valves (204) are opened or closed, the connection angle between the main crack (201) and the branch cracks (202) is set through angle regulators (205), and the settlement laws of a propping agent in different crack shapes are researched.

The invention discloses a biological carbon base compound fertilizer which is mainly composed of biomass carbon black and a compound fertilizer. The preparing method of the biomass carbon black includes subjecting agricultural wastes which serve as biomass raw materials to a low-temperature carbonization so as to form the porous biomass carbon black. The invention also discloses a preparing method of the biological carbon base compound fertilizer. The biological carbon base compound fertilizer adopts microporous biomass carbon, has high adsorptive capacity, good light absorption, temperature increasing and sustained release effects, is capable of reducing leaching loss waste of the fertilizer effectively, can be stored for a long time at a normal temperature and subjected to mixing granulation and drying with other organic and inorganic fertilizers without being influenced, and has an obvious synergistic function.

The invention relates to multiple kinds of alkaline ionic liquids as well as preparation methods and application thereof. The alkaline ionic liquid provided by the invention mainly comprises a cation X<+> and an anion Y<->, wherein the precursor of the cation X<+> is choline, phosphine, guanidine or amine; and the precursor of the anion Y<-> is imidazole, phenol or alcohol. The alkaline ionic liquid is prepared from the precursors of the cation and anion at room temperature in a certain ratio. The ionic liquid synthesized in the invention can be applied to the absorption of acidic gases such as carbon dioxide and sulfur dioxide, the absorption and desorption effects are good and the ionic liquid can be recycled.

The invention discloses a biomass charcoal based probiotic preparation, which is composed of biomass carbon black and concentrated probiotic preparation based on a weight ratio of (8.85-9.15): (0.85-1.15). The preparation is prepared by using agricultural wastes as biomass raw materials, conducting low-temperature carbonization to form porous biomass carbon black; conducting amplification culture to beneficial microorganism, and fermenting to produce probiotic solution; mixing above materials and separating solid from liquid; and drying by flash evaporation to obtain concentrated probiotic preparation, wherein the beneficial microorganism is one or more of paenibacillus polymyxa, trichoderma, nitrogen-fixing bacteria, rhizobium, phosphate dissolving bacteria, potassium dissolving bacteria, cellulose decomposition bacteria, antibiotic producing bacteria, and photosynthetic bacteria. In addition, the invention also discloses a preparation method for the biomass charcoal based probiotic preparation. The biomass charcoal based probiotic preparation provided by the invention uses microporous biomass charcoal, which has very strong absorption capacity and very good light absorption and warming effect. The probiotic preparation is high in survival rate of live bacteria, can be preserved for a long time at normal temperature and has evident synegistic effect for fertilizer.

An artificial rainfall runoff and soil water motion simulation experimental system comprises a rainer, a runoff and soil water forming device, a water drainage device and a runoff volume measuring device. The rainer comprises a water supply device and a raindrop forming device; the water supply device adjusts water outlet strength by an adjusting valve and a flow meter; the raindrop forming device is a group of pipes with holes; the runoff and soil water forming device is a vertical container with a soil layer; the group of pipes with holes is arranged on the top of the vertical container and can be adjusted in a lifting manner; and the container comprises an inner wall on the inner layer and an outer wall on the outer layer, the inner wall consists of a water permeable steel wire gauze, the outer wall is made of a transparent material, the inner wall and the outer wall are connected with each other by a water impermeable layering steel plate, the water drainage device is arranged below the soil layer, a water leading pipe which is connected with the runoff volume measuring device is arranged outside the container, and the runoff volume measuring device performs data processing and operation by a computer. The artificial rainfall runoff and soil water motion simulation experimental system is convenient to carry, high in experimental efficiency, accurate and fast in operation and high in adaptability.

The invention relates to a formula and a film-coating preparation method for biological carbon coated urea. The biological carbon coated urea is characterized in that the outside of a fertilizer core is coated with solid-powder-shaped biological carbon, sulfur, dicyandiamide and bentonite by using granular urea with a size of 3 to 4 mm as the fertilizer core and oxidized corn starch as bonding liquid, wherein the above-mentioned components have weight proportions as follows: 50 to 80 parts of the urea, 10 to 30 parts of the biological carbon, 2 to 10 parts of the sulfur, 2 to 3 parts of the dicyandiamide, 2 to 3 parts of the bentonite and 3 to 5 parts of the corn starch. The film-coating preparation method for the biological carbon coated urea comprises the following steps: placing the urea into a disc granulator, carrying out preheating with hot air for 5 min, spraying the bonding liquid on the surface of the urea with a high-pressure spray gun, blowing the hot air for 3 to 5 min, adding a mixed film-coating material into the disc granulator in batches and carrying out rotating for 10 min, then spraying the bonding liquid again, and carrying out drying in the air so as to obtain the biological carbon coated urea. According to the invention, the biological carbon can improve physical and chemical properties of soil and adsorb ammonium-nitrogen and nitrate-nitrogen ions; the dicyandiamide reduces nitrification; and S4O62- generated by decomposition of the sulfur can delay decomposition of the dicyandiamide, and H+ and S2O32- generated by decomposition of the sulfur can inhibit nitrification. The biological carbon coated urea provided by the invention has the advantages of low ammonia volatilization, slow generation of nitrate nitrogen, low nitrogen loss and high nitrogen effectiveness.

The invention discloses a video GIS data retrieval method based on deep learning. The video GIS data retrieval method comprises the steps of firstly, calculating Euclidean distance of a video GIS frame-frame difference under space and time sampling of video GIS data and conducting key frame extracting on a video lens; then building a deep convolutional neural network model alternatively constituted by a convolutional layer, an activating layer and a pooling layer, conducting layer-layer mapping on input video GIS frame images and achieving deep characteristic representing of the video GIS frame images; finally, conducting layered retrieval, wherein in the first layer, a Hash method and Hamming distance are subjected to coarse retrieval, in the second layer, the result of the coarse retrieval in the first layer is filtered, and the first m video GIS frame images are subjected to fine retrieval from a candidate pool. The frame difference Euclidean distance is adopted to extract key frames, so that the retrieval efficiency is greatly improved, the deep convolutional neural network model is adopted for training, characteristic representing of a higher layer is extracted, so that the retrieval time is shortened by a large margin, and storage expenditure is reduced by a large margin.

The invention discloses a semantic segmentation method for a low-illumination scene, and belongs to the technical field of computer vision. According to the semantic segmentation method, a semantic segmentation problem of a normal image is used as a source domain problem; the semantic segmentation problem of the low-illumination image is used as a target domain problem; a feature migration methodin migration learning is used; and the advantage of sufficient information of a normal scene image is brought into full play, and useful information in a normal scene is extracted, and the useful information is converted and combined with feature information of a low-illumination image to obtain more image information beneficial to semantic segmentation, so that a deep neural network is trained. Based on the idea, on the basis of the generative adversarial network, a network model for direct semantic segmentation of a low-illumination scene is designed and realized by utilizing a transfer learning method. By utilizing the model, the semantic segmentation task of the low-illumination picture can be effectively solved.

The invention discloses an experimental device and a method for measuring rock mechanics parameters under action of ultrasonic wave and chemistry. The experimental device comprises a closed box body for placing a rock core to be tested, a rock mechanics testing machine for symmetrically loading the rock core to be tested from a left side and a right side through a left side loading shaft and a right side loading shaft, an ultrasonic transducer, an ultrasonic generator, a hydraumatic pressurizer, a vent valve arranged on the upper part of the closed box body, a pressure measurement unit, an ultrasonic power detector, an ultrasonic amplitude measuring instrument and a display unit. The experimental method comprises the following steps of: 1, preparing an experiment; 2, adding a chemical reagent; 3, carrying out ultrasonic treatment; and 4, booting loading and simultaneously carrying out rock mechanics parameter measurement in a loading process. The experimental device has a reasonable design, is convenient to install and arrange, has complete functions, is simple and convenient to use, has good use effect, and can be used for efficiently and quickly finishing a rock mechanics parameters measuring experiment of the rock core to be tested under the joint action of the ultrasonic wave and the chemical reagent.

The invention discloses a deep learning-based haze visibility detection method. The method comprises the following steps of: firstly creating a road traffic haze image library which comprises a training sample set and a cross validation sample set; preprocessing all the haze images in the traffic haze image library; extracting farthest visibility edge features of the preprocessed haze images I the training sample set by adoption of a convolutional neural network so as to obtain a plurality of feature maps; forwardly propagating the feature maps to a configured convolutional neural network to be trained, adjusting weights between layers in the convolutional neural network through a counter-propagation algorithm, carrying out repeated iteration to solve a convolutional neural network model for haze image classification, and optimizing the convolutional neural network model through the preprocessed cross validation sample set so as to finally obtain a visibility detection model for haze image classification; and carrying out classification judgement on pictures shot by a pavement by utilizing the obtained visibility detection model so as to detect the haze condition in real time.

The utility model relates to a nuclear physics experiment simulation system. The nuclear physics experiment simulation system includes a simulated nuclear radiation source, a simulated nuclear radiation detector and a nuclear electronics processing system; the simulated nuclear radiation detector receives simulated nuclear optical pulses emitted by the simulated nuclear radiation source and photomultiplier tube high voltage emitted by the nuclear electronics processing system; and the nuclear electronics processing system receives simulated nuclear voltage pulses which are emitted by the simulated nuclear radiation detector which is electrically connected with the nuclear electronics processing system. According to the nuclear physics experiment simulation system, the simulated nuclear radiation source generates optical pulses with corresponding nuclear radiation characteristics according to different selected nuclear radiation types through utilizing an electronics method so as to simulate a nuclear radiation source; the simulated nuclear radiation detector receives the optical pulses and processes the received optical pulses according to different selected experiment processes so as to generate nuclear physics experiment data, and generates simulated nuclear voltage pulses according to the nuclear physics experiment data; the nuclear physics experiment data can be provided for the subsequent nuclear electronics processing system so as to be analyzed and processed; and the analyzed and processed data can be available for observation and sensation of learners. The nuclear physics experiment simulation system has the advantages of high simulation of nuclear physics experiments, being more approximate to real nuclear physics experiments, excellent experiment effect and favorable teaching effect.

The invention relates to a temperature difference-sediment coupling density flow simulation test system. The test system comprises a muddy water tank, a water pump, a heating device, a water channel, a turbine flowmeter, a plurality of thermographs and a circulating water pond; the water channel is connected with the water pump and the muddy water tank through a duct, the turbine flowmeter is connected with the duct, temperature probes of each thermograph are arranged at two vertical water temperature measurement positions of the side wall inside the water channel, and the heating device is installed above the water channel. The test system is simple in structure and convenient to operate; by the aid of the test system, the interference of the heating device to a flow field inside the water channel at the density flow test stage in the past is reduced, and the motion process of a sediment density flow in a temperature-layered water body is simulated successfully; special phenomena of advancing of the sediment density flow in the middle layer and the surface layer of the water channel under the influence of vertical water temperature laying are achieved, and in addition, the reliability and the accuracy of density flow analysis and research can be improved.

The invention relates to a stratified flow simulation test water channel system which includes a reservoir, a submersible pump, a flowmeter, a valve switch, a water channel, a hydraulic jack, a position regulator in the water channel, a position-adjustable water inlet, a grid net, a pulling gate, a digital temperature chain and a sampling tube, a backwater sand punching pipe, a multi-channel recorder outside the water channel, a pump-absorption water sample acquisition case, a drain aperture elevation adjusting device and a position-adjustable water outlet. The water channel system has a simple structure and is easy to operate. The system can simulate a moving process of a stratified flow at the beginning of an inflow stage, and can also simulate the moving process of a stratified flow under the release of a valve flow, a stratified flow having the water inlets at different depths, a stratified flow having different bottom slop coarse degrees, and a stratified flow caused by different shapes and different factors. The system, through addressing the problem of singularity in stratified flow simulation types in traditional stratified flow tests, successfully achieves tests of different stratified flow simulation types, and increases reliability and accuracy of density flow analysis and research.

The invention discloses a biomass charcoal based urea which mainly comprises of biomass carbon black and urea. The biomass carbon black is prepared by using agricultural wastes as a biomass material for low-temperature carbonization to form porous biomass carbon black. By using microporous biomass carbon, the biomass carbon based urea has strong adsorption capacity and pretty good light absorbance and warming effects. The biomass carbon based urea has very good slow release ability to effectively reduce leaching loss and waste of the fertilizer, can be preserved for a long time at the normal temperature, and can also be mixed with other organic or inorganic fertilizers for granulating and drying without being affected but with remarkably increased fertilizer effect.

The invention discloses a digital laser explosion loading dynamic photoelastic experiment system, which comprises a laser, a beam expanding mirror, a field lens combination, a left 1 / 4 wave plate, a right 1 / 4 wave plate, an analyzer, an explosion loading device, an exploder, a digital high speed video camera and a computer. The laser sends out continuous line beams which are converted into circularly polarized light through the beam expanding mirror, a field mirror and the 1 / 4 wave plate to be illuminated on a test sample of the explosion loading device, the circularly polarized light are converged through the right 1 / 4 wave plate, the analyzer and the field mirror to be illuminated into a lens of the digital high speed video camera, and finally, the circularly polarized light is exploded by the exploder and shot by starting the digital high speed video camera to form an explosion loading image. The system record and analyze the broadcast information including process of stress saves in the test sample under explosion loads, stress time and space distribution and the like, an optical path is simple, requirements for experiment environment and experiment cost are low, period is short, precision is high, and continuous observation of the whole fracture process is achieved.

The invention discloses a closed rotary maze device for an animal memory training system. The maze device comprises a round box body and a circuit control system. Key technical points of the maze device are that: the bottom of the box body of the maze device is provided with a turntable driven by a motor; the motor is arranged on a central cylinder, and an output shaft of the motor is in fastenedwith the turntable along the axial direction of the central cylinder; the turntable rotates around the central cylinder under the driving of the motor; the periphery of the lower part of a frame of the box body is provided with a plurality of pulleys for supporting the turntable; and a sieve-shaped supporting net is arranged above the turntable. The maze device overcomes the defect of the lateralization in the detection of the conventional maze devices such as a Y-maze and a T-maze. In addition, a device driven by gradient voltage is removed; the maze device effectively prevents animals from finishing experiments by means of smell, and respective disadvantages of a Morris water maze, the Y-maze and a drought maze are weighted; the starlight detection can be performed through program control according to the nocturnal habits of the experimental animals; and the maze device can ensure that the experimental animals are subjected to sensory stimulation in real environment, which is more favorable for acquisition of experimental data.

The invention discloses an icing-deicing process force measurement test device which comprises an experiment model, an electric heating deicing device, an external balance, a heat insulation device, a protecting shell and a cover plate. The device is based on an icing wind tunnel experiment platform. By arranging the electric heating deicing device in the experiment model, a deicing process is simulated, deicing of the surface of the model is achieved, the external force measuring balance which is calibrated in a low-temperature high-humidity environment is used, and changing of experiment model pneumatic parameters during an icing / deicing process is measured. The main function of the device is that force measuring experiment sturdy during the icing / deicing process of a plane part is carried out.

The invention discloses a 3D (three dimensional) printing method of transparent pervious concrete samples based on CT scanning. The method comprises the following steps: collecting pervious concrete samples, carrying out CT scanning on the pervious concrete samples to generate two-dimensional slice images, carrying out gray processing on the two-dimensional slice images, characterizing distribution of different colors by using different grey levels, and carrying out filtration and noise reduction treatment; reconstructing a three-dimensional model by using a three-dimensional visualization technology according to the treated two-dimensional images; multiplying according to the number of voxels and the number of images to calculate the size of a required sample model, and cutting the reconstructed three-dimensional model according to the calculated size; and carrying out binary segmentation on the cut model, extracting an aggregate structure, and printing the pervious concrete samples layer by layer by using a 3D printing technology according to an obtained pervious concrete aggregate model. Through the method, the original pervious concrete samples are subjected to CT scanning, 3D modeling and 3D printing technologies and are finally produced into a transparent pervious concrete material; the method provides great help to the research of blockage mechanism and process of the pervious concrete.

The invention discloses a seal circulating using technique of waste water in the dicalcium orthophosphate making course after three-segment neutralizing, which is characterized by the following: adopting phosphorus ore and sulfuric acid as raw material; adding phosphoric acid into sodium sulfate, diatomaceous soil and amino-hydroxy complexing agent to predispose the impurity; adding limestone to do preliminary defluorinating and impurity removing reaction; controlling pH value between 2. 0 and 2. 5; sedimenting the dense slurry; centrifuging; separating; making the liquid do two-segment and three-segment neutralizing reaction; defluorinating and removing impurity within one step; accumulating the residual water in the reservoir; transmitting the water to each segment to circulate and use through pump. The invention can save water by 10t per ton of calcium hydrophosphate, which makes business obtain the profit and benefit and solves the discharge problem of industrial waste water.

The invention relates to a portable multifunctional rock-soil body seepage experiment table which mainly comprises an experiment table body, a water supply system and an experiment data measuring device, wherein multiple rows of water inlet and outlet seepage channels which are parallel to each other are arranged on the experiment table base of the experiment table body and are intersected and communicated in the middle of the experiment table base; prefabricated crack blocks are arranged in the water inlet and outlet seepage channels; water pipes forming circulation paths with a water pump are respectively arranged at the water joints of the two sides of each of the flowing water seepage channels; and a pressure sensor, a liquid filter valve, a flow sensor and a control valve are respectively arranged on each of the water pipes at the two sides of each of the flowing water seepage channels in turn. The migration condition of fluid and grains in the fluid in an experiment can be observed in real time; the change of infiltration capacity of a crack or pore medium under a vibrating condition can be measured in real time by placing the experiment table on a vibrating platform; and the portable multifunctional rock-soil body seepage experiment table has the advantages of simple structure, small size and good experiment effect, is portable, is convenient to operate and can be placed at random.

The invention discloses a pear surface defect detection method based on machine vision. Three varieties of pears are used as objects, and an appropriate mean detection is taken for completion of the pear surface defect detection task. The pear surface defect detection method comprises various kinds of pretreatment operation on collected pear images, after binaryzation, a morphological filtering method is used, a background removing method based on a template is firstly used in the pears; a background removed pear I component figure and a simple morphological addition method are used for defect extraction, in the process, an Otsu segmentation threshold method is chosen for binaryzation, and in order to meet the requirements of an automatic packaging line, the one-time property is adjusted in the method. The method can be used in defect extraction of a variety of pears, is universal, and plays the key role of ''eyes'' in the automatic packaging line.

The invention discloses a light pressure demonstrating and measuring system based on a fiber optical path. A light source is included, light emitted by the light source passes a first fiber coupler, the first fiber coupler transmits 90% of optical signals to a light pressure demonstrating part and 10% of optical signals to the light pressure measuring part, the light pressure demonstrating part comprises an attenuator, an optical switch, a collimator and a slice successively, the optical switch converts continuous laser into pulse laser, and the attenuator is adjustable. According to the invention, the flexibility of the light pressure demonstrating and measuring system based on the fiber optical path is improved, and requirements for the laser power, the detector flexibility and test environments of the system are lowered. The optical path is easy to adjust and compact in structure, the experiment effect and the success rate are both improved, and the power loss of the light source is reduced. The signal processing function is flexible, data is processed via a computer, and possible errors of manual measurement can be avoided.

The invention discloses a simplified loop filtration method for video frequency coding technology, wherein the video frequency data stream is processed by video camera and video frequency collection card, and is inputted into computer for sequent transformation and quantization, then is passed through video frequency processing sub-program for input portion return and continuous conversion, quantization and entropy encoding, finally the encoded video frequency data stream is outputted.

The invention provides a monocular image depth information estimation method based on contour acuity. The method uses edge contour acuity as a fuzzy information estimation characteristic, and through low-level cue information, depth information extraction is carried out. Edge detection is firstly carried out on the image; edge energy and contour acuity are calculated for the edge in the image, the edge energy and the contour acuity serve as outer energy of the contour, inner energy, contour line characteristic energy and contour line distance energy, of the contour is combined to build a contour tracking model, the minimal value of an energy function is solved, and an image contour is searched; then, depth gradient hypothesis serves as a priori assumed gradient model, depth value filling is carried out on an area with different contour lines, and depth distribution is obtained through calculation; and finally, the original image information and the obtained depth image information are used for optimization on the obtained depth image, and a final disparity map is obtained. As is proved by an experimental result, the depth estimation algorithm is simple, and the depth image for the monocular image can be quickly and accurately estimated.