643results about How to "Clear outline" patented technology

The invention discloses a traffic scene multi-target classification method, to be specific, discloses a traffic scene classification method based on a multi-scale convolution neural network. The traffic scene classification method is characterized in that recessive characteristics based on the multi-scale convolution neural network are extracted; and an optimal covering segmentation tree is acquired. During the realizing of the traffic scene classification, the multi-scale convolution neural network is adopted, and the excellent recessive characteristics having the invariance property are effectively extracted from an original image in different scales, and by comparing with the single-scale convolution neural network, the acquisition of the abundant and effective characteristic information of the image is realized. The effective information extracted by the convolution neural network is combined with the original segmentation tree of the image to form an optimal purity price tree, and the covering having the optimal purity is carried out, and therefore a clearer target contour is acquired, and the classification accuracy is increased. The RGB-D is used as the convolution neural network input, and by comparing with the conventional RGB convolution neural network input, the training characteristic is additionally provided with the depth information, and the classification of the input image is more accurate.

The invention discloses an improved image edge detection method. The improved image edge detection method comprise steps of S1, performing smoothing processing on an image and using an improved media filter to suppress noise, S2, obtaining a difference between a horizontal direction and a perpendicular direction through first-order-partial derivatives of directions of x,y,45 degrees and 135 degrees and thus obtaining a gradient amplitude and a gradient direction, S3, performing non-maximum value inhibition on the gradient amplitude, S4, using a gradient histogram to solve a high threshold and a low threshold and then using a double-threshold algorithm to perform edge detection on the image, and S5, performing sharpening processing and connecting the edges to obtain a final edge image. The improved image edge detection method use weighted media filtering to replace gauss filtering, uses the partial derivatives of four directions, uses the gradient histogram to determine the high threshold and the low threshold, reduces detection errors, improves detection accuracy, and makes the counter of the edge image more clear and continuity better.

The invention relates to a display and quantitative detection method of residual austenite or island martensite-austenite (MA island for short) in TRIP steel. The method comprises the steps: (1) a TRIP tapping sample is prepared into a metallographic specimen; (2) after grinding and polishing, the metallographic specimen is light etched for 5 to 8 seconds in Nital of 1 to 3 percent by weight, and water is sprinkled on a flannel polishing disk for 1 to 2 seconds; sodium pyrosulfite water solution of 1 to 3 percent by weight and picral of 2 to 6 percent by weight are mixed by volume ratio of 1:1 to prepare corrosive liquid, then the metallographic specimen is put into the corrosive liquid for etching of 55 to 65 seconds; (3) the structure of the TRIP steel is observed under a metallurgical microscopy: the delta ferrite is minus blue, the residual austenite or MA island is white, and bainite is brownish-black; and (4) each phase in the structure is carried out quantitative analysis. The method presents different colors, each phase of structure has distinct layers which are easy to distinguish; and a quantitative image analysis method is utilized to fix amount of the feature object structure, which is objective and accurate and has good repeatability.

The invention discloses a high-precision precise workpiece detecting-sorting machine. The machine comprises a first stander and a second stander, wherein a loading mechanism is arranged on the first stander; a first metal rotating disc, a second transparent rotating disc, a first conveying mechanism and an electric control unit are arranged on the second stander, the first metal rotating disc and the second transparent rotating disc are respectively driven by power devices, and the first conveying mechanism is used for conveying a workpiece from the loading mechanism to the first rotating disc; a first sensor, a longitudinal surface size detection mechanism, a second conveying mechanism and a first receiving mechanism are circumferentially arranged on the first rotating disc, and the second conveying mechanism is used for conveying the workpiece on the first rotating disc to the second rotating disc; a second sensor, a transverse surface size detection mechanism, an appearance detection mechanism and a second receiving mechanism are circumferentially arranged on the second rotating disc; the electric control unit is used for coordinating and controlling the action of each component. According to the high-precision precise workpiece detecting-sorting machine, the mechanical production line automatic detection is realized, and the first rotating disc can be subjected to surface polishing in a later machining period, so that the longitudinal surface size detection precision is improved, and the detection and sorting efficiencies are further increased; meanwhile, as workpieces with different shapes can be detected, the universality is enhanced.

The invention discloses a nano-level formaldehyde-free paint dye printing adhesive and the preparing method and application thereof. And it comprises N-epoxy propyl acrylamide cross-linking monomer, butyl acrylate, isooctyl acrylate, ethyl acrylate, methyl methacrylate, styrene, vinyl acetic acid, crylic acid, methacrylic acid, reactive surface active agent, unsaturated strongly hydrophilic monomer, vinyl- containing organosilicon monomer, etc. and its grain size can reach nano level and it does not comprise formaldehyde. And it can be used for paint printing and for paint dyeing, as well as for other fields, such as building field.

The invention relates to a low-contrast image enhancement method based on YCrCb. The low-contrast image enhancement method comprises the following steps: (1) performing image de-noising on an obtainedoriginal image by utilizing a trapezoidal low-pass filter; (2) performing conversion between a RGB color space and a YCrCb color space on the de-noised image to obtain an image brightness component;(3) performing piecewise linear transformation on a brightness component image by adopting a traditional spatial domain linear transformation method; (4) performing Gamma correction on the transformedimage; (5) performing Gaussian filtering on the corrected image by utilizing a single-scale Retinex algorithm and estimating illumination component and reflection component images; (6) performing image sharpening by utilizing a Gaussian sharpening algorithm aiming at the reflection component image; and (7) performing conversion between the YCrCb color space and the RGB color space on the sharpened image.

The invention discloses an interpolating method of self-adapting medical sequence image among fault space based on interesting area, which utilizes tissue relativity and body relativity to judge whether the interpolated point belongs to the interesting area to select fitful interpolating method. The invention considers the change of grey and structural outline, which solves the insufficiency of traditional interpolating method to make new interpolated image approach actual condition. The interpolating method modifies the visual effect and image quality greatly, which reduces the noise and shortens the calculating time to be applied in three-dimensional reconstruction and display system.

The invention discloses an image super-resolution reconstruction method based on double-dictionary learning, which mainly solves the problem that detailed information cannot be effectively supplemented in the prior art when super-resolution reconstruction is performed on a low-resolution image. A realization process comprises the following steps of: firstly, inputting a low-resolution image XL to be processed, constructing five pairs of high-resolution dictionaries and low-resolution dictionaries (Dh1, Dl1), (Dh2, Dl2),..., (Dh5, Dl5), and reconstructing five high-resolution estimation images under the five pairs of dictionaries; constructing one pair of high-frequency dictionary and low-resolution dictionary Df={Dhf, Dlf} by virtue of the high-frequency information and low-frequency information of the input low-resolution image, and reconstructing five pairs of high-resolution estimation images with different neighbor parameters; and finally, performing low-rank decomposition on the ten pairs of reconstructed high-resolution estimation images, and solving a mean value of a low-rank matrix obtained from the decomposition to obtain a final reconstructed high-resolution image XH. The method provided by the invention can be used for obtaining the high-resolution image with clear edges and rich details when being used for performing the super-resolution reconstruction on the low-resolution image and is suitable for super-resolution reconstruction on various natural images.

The invention relates to an image defogging method. To solve the problems that city streetscape/traffic monitoring images shot in foggy days are not clear, target objects such as vehicles and pedestrians in the images are not easy to recognize and the like, foggy-day images are integrally enhanced, and then high-frequency information of the images is extracted to strengthen details to finally acquire clear defogged images. The method includes collecting the foggy-day images, performing overall image enhancement on the foggy-day images by the Retinex algorithm, adjusting the details of the images and integrating the images. Tests prove that defogging effect of the Retinex<+> wavelet transform method is better than that of the Retinex algorithm and the Dark Channel algorithm. According to the image defogging method, auxiliary information such as depth information is not needed, and complex methods such as 3D (three-dimensional) modeling are not needed, so that defogging can be realized simply and quickly, and good real-time performance is realized.

The invention discloses a ceramic core for silica sol precision casting and a manufacturing process thereof. Main body components of the ceramic core comprise refined quartz powder and a proper amount of collapsing agent, and the surface of the ceramic core is coated with high-temperature resistant paint with a thickness of 0.1 to 0.2 millimeter; and at the same reasonable manufacturing processes such as mixing, core making and roasting are adopted. In the ceramic core for casting, the unique material mixing and manufacturing processes are adopted, and the reasonable use of the refined quartz powder and the collapsing agent improves the collapsibility of the ceramic core after casting considerably, the high-quality high-temperature resistant material in ingredients enables the core to resist the erosion of high-temperature molten metals, and the high-temperature resistant paint on the surface of the ceramic core not only improves the high temperature resistance during casting, but also increases the cooling speed of the molten metal.

The invention provides a method for preparing a dry adhesive in order that the existing wet adhesive has the disadvantages that the wet adhesive is prone to deterioration, pollution, self-adhesion and non-reusability after being torn open. Based on the research into the structural characteristics of micron-level and nano-level foot hair of a gecko in the nature, micron-level and nano-level fiber arrays can be molded and drawn in a way that the fiber arrays are molded successively for twice, thus obtaining the micron-level and nano-level structure of the bio-mimetic gecko hair, which is characterized by powerful adhesion. The method of the invention comprises the following steps: preparing a micron-level silicon mother stamp; preparing a micron-level mold; preparing micron-level fiber arrays; preparing a nano-level silicon mother stamp; preparing a nano-level mold; and preparing nano-level fiber arrays. The method of the invention is capable of preparing the micron-level and nano-level structure with the parameters thereof being close to those of the foot hair of the gecko in the nature; and the prepared powerful dry adhesive is capable of being fitted with various surfaces and easily detached in an active manner.

The invention belongs to the technical field of program control, and discloses a system and a method for efficiently controlling a robot. The system for efficiently controlling the robot specificallycomprises a binocular stereoscopic vision module, a path planning module, a remote operation module, an upper computer control module and a communication module, wherein the binocular stereoscopic vision module is used for acquiring an image by using a camera, and a three-dimensional coordinate of an object point is calculated; the path planning module is used for finding an optimal path which isfree from collision and arrives at the target object position for the robot in a specific environment; the remote operation module is used for improving the operation efficiency and operability of therobot by using a Teleoperation and Remote Control operation mode; the upper computer control module is used for packaging each module in a program through MFC programming; and the communication module is used for completing the two-way information exchange between an upper computer and a rear lower computer. According to the system for efficiently controlling the robot, the robustness and the fault-tolerant processing of the system are effectively improved, and the operability, the operation efficiency and the operation precision degree of the robot can be improved.

The present invention provides a precise casting technology for a green sand vacuum sealing model, which belongs the vacuum casting technical field. The invention is characterized in that the green sand is taken as a molding material, quantity of the sand core can be minimized through an effective usage of foamed materials, which is suitable for producing medium and small sized comparative precision castings. The problems of serious dust pollution, long vacuum-pumping time and production efficiency affected by using paint in a present V method can be solved. When a complex cavity is casted, the foamed material is provided at the position unsuitable for drafting to form a portion of the cavity, the foamed material is melted when casting, therefore the purposes of minimizing sand core quantity and weight can be reached, so that the production technology can be simplified as well as cost can be saved. The produced casting has the advantages of high dimensional precision, clear contour and smooth surface.

The invention relates to a plaster casting method for a large-sized complex thin-walled magnesium alloy part. The method comprises the following steps of coating the surface of an assembled form with a coating in situ, and arranging shapeless cold iron on a hot spot part, wherein a mixture for manufacturing the shapeless cold iron comprises the following components in percentage by mass: 1.25 percent of phenolic resin, 0.4 percent of toluenesulfonic acid, 1 to 1.5 percent of boric acid, 2 percent of bentonite and the balance of 70 to 140-mesh chromite sand; pouring a casting in an adjustable pressure casting device, arranging a plaster mold poured by the form at the casting position of the adjustable pressure casting device, filling a tank with dry air or a CO2 atmosphere with SF6 content of 0.1 to 1.0 percent, and performing vacuum casting and pressurized solidification, wherein the casting temperature is 710 to 750 DEG C, vacuum degree for primary mold filling is minus 0.6Mpa to minus 0.8Mpa, and the solidification pressure is 0.020 to 0.025Mpa. According to the method, oxidization can be prevented, the mold filling capability can be improved, shrinkage cavities and shrinkage porosities in the casting are reduced, and the obtained magnesium alloy casting is higher in density.

The invention discloses a face identification algorithm under different illumination conditions, comprises the steps that: (1) the inputted face original image F(x, y) is subjected to Gaussian filter so as to eliminate noise point in the image and smooth the image, thereby obtaining a new image F'(x, y); (2) the F' (x, y) is subjected to feature extraction by using a Weber local operator description; (3) an edge is extracted from a new image WF(x, y) by LoG operator operation; (4) the inputted image is converted to a principal component space by using fast PCA algorithm; (5) in the PCA transform space, a inter-class scatter matrix is calculated (img file='DDA0000447013750000011.TIF' wi ='45' he='65'/); (6) the obtained new image feature WF'(x, y) is projected on a feature projection vector group Phi; (7) finally, a nearest neighbor classifier carries out classification. The invention carries out feature extraction of the image operated by the LoG operator, more complete identification information of the original imagely can be extracted, the data from the above experiment shows that the new algorithm can obtain the prominent face identification rate from all three face databases, and also completely meet the real-time requirements in the speed.

The invention discloses a retained austenite contained dual phase steel color metallography coloring agent and a coloring display method and belongs to the technical field of steel and iron material microscopic structure metallographic dyeing. The coloring display method comprises the following steps of configuring sodium metabisulfite and water into an aqueous solution A with the concentration, by mass percent, being from 1 to 10% and configuring picric acid and ethyl alcohol into a solution B with the concentration, by mass percent, being from 2 to 4%; mixing the above aqueous solution A and B according to a volume ratio of 1:1, meanwhile adding 0.2 to 1ml concentrated hydrochloric acid with the concentration being from 37 to 38% and uniformly stirring after being fully mixed; arranging a dual phase steel sample into the above configured etching liquid, wherein the etching temperature is from 20 to 30 DEG C and the etching time is form 3 to 10s; washing through a large amount of fresh water, sprinkling through the ethyl alcohol and drying after moisture removal; observing under a metallographic microscope; measuring phase volume fractions. The coloring display method has the advantages of enabling ferrite, martensite, retained austenite and bainite tissues to be displayed in different colors, being clear in outline, distinct in gradation and easy to identify; being simple, reliable and rapid in process and easy to operate.

The invention discloses a method for preparing nano porous copper by adopting Cu-Zn alloy. The method comprises the following steps of: preparing copper and zinc in a proportion that the copper is 60 weight percent or 70 weight percent or 80 weight percent of the zinc under the protection of nitrogen to obtain alloys by adopting a smelt technology; carrying out Tafel curve testing by taking a 1M NaCl solution as an electrolyte and utilizing a three-electrode method to obtain easies corrosion voltages of different alloys; carrying out water bath at 50-70 DEG C in the 1M NaCl solution under the condition that the volume ratio of corrosive liquid to the alloy volume is (1,000-1,500):1; carrying out electrochemical corrosion on the alloys under the easies corrosion voltages; dropwise adding 1-2ml of concentrated NH3.H2O solution every other 20 minutes to ensure that the electrolyte contains certain complex compounds to promote the reaction; and stopping the reaction until the cathode does not discharge obvious bubbles any more to obtain the nano porous copper. The nano porous copper prepared through the method has the advantages that the aperture is fine and small, the ligament outline is clear, the aperture is 50-200nm, and the ligament width is 70-100nm.

The invention discloses a method for reconstructing a single-image super-resolution based on a double-layer model. The method comprises the following steps: (1) using the L0 gradient minimizing method and a HoG operator to generate K training clusters, then training corresponding dictionary pairs of the clusters, (2) selecting a geometrical dictionary pair corresponding to a low-resolution image block for testing in a self-adapting mode according to the HoG operator, solving a high-resolution line detail image corresponding to a low-resolution image, (3) using the L0 gradient minimizing method to solve a high-resolution edge structure image corresponding to the low-resolution image for testing, (4) adding the solved high-resolution line detail image to the high-resolution edge structure image to obtain an initial high-resolution image, and (5) carrying out global restriction and local restriction on the initial high-resolution image to obtain a final high-resolution image. According to the method for reconstructing the single-image super-resolution based on the double-layer model, a reconstructed image contour is clear, detail information is abundant, and quality of the reconstructed image is improved.

The invention discloses a '|'-shaped free surface holing one-step well completion technology, which comprises the following steps: (1) confirming the holing way and arranging blasting holes, wherein holing holes and peripheral holes and assistant holes are formed in the position needed to complete the well at the end part of a mining roadway, the number of the holing holes is 8, and the total number of the peripheral holes and the assistant holes is 9; and the specific way is that four hollow holes are longitudinally formed in the center line at the end part in a '|'-shaped manner to be taken as a blasting initial free surface and compensation space, four explosive filling holes are formed in the periphery of the four hollow holes under a principle to the benefit of the forming of the groove cavity and not to mutually blast, and the nine peripheral holes and assistant holes are formed in the periphery of the groove cavity; (2) drilling; (3) filling explosive; and (4) blasting. The technology can reduce the lose of the ore, improves the ore recovery rate, can also guarantee the blasting quality, reduces the construction number of the blasting holes, reduces the groove-pulling blasting times, reduces the explosive consumption, relieves the labor intensity of the blaster, improves the safety performance, reduces the manufacturing cost, and meanwhile can also be directly used for constructing vertical wells.

The invention relates to the field of airbrushing equipment used for airbrushing the surface of a stereoscopic object and provides an airbrushing method and an airbrushing head which are used for airbrushing the surface of a special-shaped stereoscopic object and are high in airbrushing efficiency in order to overcome the defects in the prior art. The airbrushing head structurally comprises at least two sets of airbrushing head modules, airbrushing holes are distributed in each set of airbrushing head module in a matrix mode, and a certain angle exists between the airbrushing head modules. According to the method, the angle between the airbrushing modules is controlled to change so that the distance between any working airbrushing hole in the airbrushing head modules and airbrushing points on a printing medium is 1-15mm. The distance between the airbrushing holes and the concave-convex surface of the printing medium is kept in a reasonable range, and it is ensured that an airbrushed picture is not deformed.