105 results about "Color gradient" patented technology

The invention discloses a WebGL-based mass data particle system rendering method and device, and belongs to the technical field of computer graphic processing. The method comprises the following steps: firstly, selecting the type of a particle emitter according to scene requirements, then constructing a primitive object based on points or quadrangles, and configuring three-dimensional coordinates and texture parameters; aggregation rendering is carried out on a single-frame primitive array through a WebGL vertex shader and a fragment shader, and the drawing calling frequency is reduced; the method comprises the steps of dynamically adjusting particle attributes, including position compensation, color gradient and explicit-implicit control, determining a rendering form and playing time of an animation according to requirements of an actual application scene, and supporting fine configuration of a single particle, including texture animation, dynamic scaling and rotation parameters. When a large amount of data is processed, on the premise of ensuring the rendering quality, the rendering efficiency can be remarkably improved, the consumption of a memory and GPU resources can be reduced, the response time of the system can be optimized, and meanwhile, the interaction experience of a user can be improved.

The invention discloses a liquid chromatographic peak intelligent analysis method and system based on deep learning, and relates to the technical field of data processing. The method comprises the following steps: constructing a chromatographic peak intelligent analysis network based on deep learning, and training the network by using a sample chromatogram until convergence; inputting a to-be-analyzed chromatographic signal into the chromatographic peak intelligent analysis network, and evaluating the reliability of a prediction result based on the probability distribution of the key physical parameters output by the chromatographic peak intelligent analysis network to obtain a result confidence coefficient; dynamically adjusting the number and composition of the sample chromatograms based on the result confidence and a preset confidence threshold, and continuously updating the chromatographic peak intelligent analysis network; and recording an attention mechanism of the chromatographic peak intelligent analysis network as a weight fraction allocated to each data point, mapping the weight fractions back to a time sequence of an original chromatographic signal, carrying out visualization through a color gradient, and superposing the weight fractions on an original chromatographic curve in a semitransparent layer form to generate a chromatographic peak thermodynamic diagram. According to the invention, the efficiency and precision of liquid chromatography analysis are effectively improved.

The invention discloses an unmanned aerial vehicle formation dynamic light control method and related components. The method comprises the following steps: taking a geometric center of an unmanned aerial vehicle formation in a three-dimensional space as a reference origin; constructing a corresponding orthogonal basis according to a specified scanning direction, and defining a plane formed by the orthogonal basis as a dynamic plane where a scanning effect is located; converting the position projection of the unmanned aerial vehicle in the three-dimensional space into a polar coordinate angle on the dynamic plane; calculating the absolute scanning angle of each light beam according to the animation time axis length, the preset number of light beams and the total number of scanning turns; calculating the final illumination intensity of each unmanned aerial vehicle after being influenced by all the light beams, and performing interpolation according to a preset color gradient to obtain a final light color; and assigning the final light color to a light material attribute corresponding to the unmanned aerial vehicle, and inserting a key frame on an animation time axis to generate a dynamic light animation sequence. According to the invention, the multi-beam dynamic scanning effect of the unmanned aerial vehicle formation in the three-dimensional space is realized, and the spatial stereoscopic impression of light performance is improved.

The invention provides a cyanide generation and absorption efficiency monitoring method based on double-color indicator gradient change, and belongs to the technical field of cyanide monitoring, the absorption process is visually reflected through the double-color indicator gradient change, the absorption efficiency can be rapidly judged through color change without a complex instrument, the operation is simple and convenient, and the cost is low. And gradient color development and spectral analysis are combined, so that the detection limit can reach a mu g / L level, the trace detection requirement is met, and the absorption condition of the low-concentration cyanide can be accurately monitored. Through real-time change of the color gradient, the concentration distribution and the reaction process of the cyanide in the absorption process can be dynamically reflected, real-time data support is provided for industrial process control and environmental emergency monitoring, expensive detection equipment is not needed, the reagent cost is low, and the method is suitable for large-scale popularization and application.

The invention discloses a shoulder joint rehabilitation action image recognition and real-time posture correction feedback method and system, and belongs to the technical field of medical image processing and computer vision, and the method comprises the steps: collecting a rehabilitation training image frame sequence through an RGB camera; inputting the image into a human body analysis model, extracting skeleton key point coordinates and calculating a joint angle sequence; constructing the skeleton key points into a space-time diagram structure, and inputting the space-time diagram structure into a space-time diagram convolutional network for action classification and recognition; aligning and comparing the actual joint angle with the standard action template by adopting a dynamic time warping algorithm to calculate a deviation vector and an action compliance score; a standard posture skeleton line and an angle deviation indicating arrow are overlaid and rendered on an image, the compliance degree of each joint is displayed in a color gradient mode, an action compliance degree score and personalized correction suggestions are output, the error posture recognition accuracy is larger than 92%, the feedback delay is smaller than 100 ms, and the technical problem that home rehabilitation lacks professional action guidance is solved.

The invention discloses a mulberry twig clamping and positioning method and system, belongs to the technical field of intelligent mulberry leaf picking equipment, and aims to solve the technical problems that an existing RGB camera is easily interfered by illumination, and picking damage is caused due to the fact that a demarcation point of a tender branch and an old branch is difficult to accurately recognize. According to the method and system, 500-600 nm visible light and 750-900 nm near-infrared band images are synchronously collected through a multispectral imaging device, HSV color space parameters are extracted, and a color gradient model is established; by analyzing the gradient change rate of the hue value H and the saturation degree S and combining the curvature change rate and the near-infrared reflectivity difference value, the transition boundary of the tender and old branches is accurately judged, and the three-dimensional coordinates of the clamping datum point are generated by dynamically shifting 5-15 mm towards the side of the tender branches. According to the scheme, the limitation of single hue detection is broken through, the xylem recognition capability is enhanced by utilizing multispectral information, the clamping accuracy is improved, the method is suitable for automatic operation of a top-remaining picking mode in large-scale silkworm and mulberry planting, the picking efficiency can be effectively improved, and branch damage can be reduced.

The application provides a compressor aerodynamic stability prediction method and device, the method comprising color space conversion on an initial flow field cloud image of the compressor to obtain a target flow field cloud image, wherein the target flow field cloud image comprises at least two color channels; for any pixel point in the target flow field cloud image, the gradient amplitude of the pixel point on different color channels is calculated, and a color gradient map is generated according to the gradient amplitudes of multiple pixel points; based on a preset threshold and the gradient amplitudes, the color attribute of each pixel point in the color gradient map is adjusted to obtain a color mask image; the connected region of a target color in the color mask image is determined as a target region of a shock wave, a main flow and a leakage flow interface; based on the distance between the target interface region and the blade leading edge of the compressor, a stability prediction result is generated, wherein the stability prediction result represents that the compressor is in an unstable or stable state.

The invention relates to a desktop type high-resolution multi-dimensional optical image intelligent analysis method and device, and belongs to the technical field of optical image analysis. The method comprises the following steps: controlling an imaging device and an integrated desktop objective table through a host, performing synchronous image acquisition on a sample on the objective table, and generating an original multi-dimensional image set; generating a single-frame two-dimensional light and shadow mapping graph through a parallax fusion algorithm, and simulating the three-dimensional morphology characteristics of the sample through gray scale and color gradient change; outputting the dynamic light and shadow mapping graph to a desktop display screen in real time, and loading an interactive light source simulation engine; simulating an illumination effect on the dynamic light and shadow mapping graph in real time; the visual saliency of target features is improved by automatically configuring light source parameters; and according to the optimized rendering result, topological structure features and optical features of the sample are extracted, and a quantitative analysis report is generated. The full-process automation and intelligentization of optical images from multidirectional and multi-view collection to deep analysis and quantitative report generation are realized.

The application discloses a kind of gradient color cover plate glass silk screen printing systems, belong to glass production technical field.Its technical scheme is: including glass conveying unit one, silk screen printing machine, glass conveying unit two, gradient heating unit, glass conveying unit three, cleaning machine and coating machine arranged in sequence.The application gradually changes by controlling the gradient input amount of oxygen along the color gradient direction, and further precisely controls the temperature of each region, finally prepares the gradient color cover plate glass, and the color CMYK value can be changed between 0,0,0,0 and 71,63,60,12;After placing in the environment of temperature 85 DEG C, humidity 85%RH for 48h, the glass color is stable and does not change.

This invention discloses a simulation method, apparatus, medium, and device for flip chip underfill, relating to the field of flip chip underfill simulation technology. The invention simulates the flip chip underfill process within a computational domain divided into two meshes in a flow plane perpendicular to the depth direction using a color gradient lattice Boltzmann model. A color function clearly distinguishes between the wetting phase (filler adhesive) and the non-wetting phase (air) to dynamically track the two-phase interface. When simulating the flow field changes during the self-absorption process of flip chip underfill, the average curvature of the interface in the depth direction and the average frictional force of the upper and lower solid walls of the flip chip are introduced to determine the force applied at the two-phase fluid interface, thus reflecting three-dimensional physical effects. While maintaining near-two-dimensional computational costs, this invention significantly improves the accuracy of flip chip underfill simulation and can quickly predict the entire flip chip underfill process at a lower cost.

The invention provides a system (2.41,81) for controlling an array (281) of light sources (11-19) to render color gradient light (231,232,271), the array (281) comprising at least four individually controllable light sources. The system (2,41,81) comprising an input interface (3,43,83,89) configured to obtain at least four gradient stop colors (C1,C2,C3,C4) and a gradient contrast option; a processor (5,45,85) configured to (i) receive the at least four 5 gradient stop colors and the gradient contrast option from the input interface, (ii) determine color contrasts (CC12,CC13,CC14,CC23,CC24,CC34) between pairs (C1-C2, C1-C3,C1- C4,C2-C3,C2-C4,C3-C4) of the at least four gradient stop colors, (iii) determine a gradient stop color sequence of the at least four gradient stop colors based on the determined color contrasts and the gradient contrast option, (iv) determine a mapping of the at least four 10 gradient stop colors onto at least four light sources of the array of light sources based on the gradient stop color sequence, and a control interface (6,44,84) configured to control the array of light sources to render the gradient stop colors on the at least four light sources.

The invention discloses a method for manufacturing color gradient of mobile phone rear cover glass based on a composite salt bath ion exchange coloring technology. According to the preparation method, by designing a specific composite salt bath formula, an innovative workpiece loading mode and precise process control, an ion concentration gradient is formed on the surface of the glass through ion exchange, so that the gradient color effect which is soft in transition, rich in color and high in binding force is prepared through a one-step method; and the glass naturally forms an ion concentration gradient at the interface of the fused salt and the air, so that the steps of adjusting and converting for multiple times in the traditional process are omitted. The production process is simplified, the processing time of a single product can be shortened, and the overall production efficiency is improved; and meanwhile, the equipment investment and the consumption of consumables are reduced, the manufacturing cost is effectively reduced, and the method is more suitable for large-scale industrial production.

The invention relates to a method for characterizing the size of an irregular proppant-fiber cluster unit in a slit, and the method comprises the steps: S1, carrying out a proppant-fiber mixed conveying physical model experiment, obtaining an experiment image, carrying out the preprocessing and threshold segmentation of the experiment image, focusing on a region of interest (ROI), and obtaining a proppant-fiber cluster unit size; dividing the pixel value of the image into continuous intervals according to a preset threshold parameter, and generating a multi-category segmentation mask; s2, performing multi-scale morphological operation on the segmented masks, removing small noise cluster units and filling internal holes of the cluster units; s3, identifying each connected region in the image, counting the area of the connected region, and dividing cluster units according to a preset level; and S4, performing color gradient rendering, contour labeling and area numerical value labeling on the cluster units of different levels to enhance the visual discrimination, and outputting an image. According to the experimental image processing method provided by the invention, the information of each cluster unit can be more intuitively obtained, and the action mechanism of the proppant-fiber cluster unit can be clearly known.

The invention relates to the technical field of light control, in particular to a skin visual detection control method based on a silicon substrate multi-primary-color LED lamp. According to the method, the original skin image is continuously acquired, the local window is divided, and the similarity of the structure direction field and the color gradient field of the local texture is combined, so that the high-resolution recognition of the skin texture state is realized, and the recognition precision of the facial detail abnormity is enhanced. By setting the fuzzy judgment interval and quantifying the membership degree, a multi-dimensional recognition system for different abnormal types such as color spots, redness and swelling, dry decrustation, acnes and comedos is established, and the sensitivity and adaptability of skin abnormality judgment are remarkably improved. In a color response interference identification process, an inter-class variance is introduced to calculate a response difference between a red channel and a yellow channel, so that the influence of a color overlapping region is effectively eliminated, and the effectiveness and independence of extracting a gray region are ensured. And further extracting an effective gray area in the non-interference area.

The application provides an image processing method, device and equipment and a storage medium, wherein the method comprises: acquiring a to-be-identified image in a face image; converting the to-be-identified image into a color gradient graph, determining a target pixel point in the to-be-identified image according to the color gradient graph; and identifying the target pixel point to obtain an identification result. In the technical solution, the user's face image is identified to determine a skin area in the face image, and then the color gradient graph is used to determine whether there is a sensitive position point of the skin in the skin area, and the sensitive position point is identified, so that the user can know the change of the sensitive area of the face skin in real time, and the detection efficiency of the sensitive area of the face skin is improved.

Technologies and techniques for controlling a lighting device of a motor vehicle, which includes at least one display surface and / or at least one lighting unit. At least one image capable of being provided by a mobile terminal and / or by an external computing device automatically selected; image data describing the at least one selected image is received; and image content information, which describes a color gradient of the at least one selected image, is determined by applying an image content determination criterion to the provided image data. The lighting device is controlled considering the determined image content information, wherein an appearance generated by means of the lighting device is adapted to the color gradient of the at least one selected image.

1. The name of the design product: color gradient cigarette (maker). 2. The use of the design product: the design product is used for smoking. 3. The design points of the design product: the combination of patterns and colors. 4. The picture or photo that best indicates the design points: design 1 front view. 5. The design to be protected contains colors. 6. Design 1 is designated as the basic design.

The application discloses a lamp control method and device and a storage medium. The lamp comprises a plurality of light emitting units arranged in an array, and the plurality of light emitting units are divided into a plurality of light emitting assemblies. The method comprises: controlling the plurality of light emitting assemblies to sequentially perform color gradient at a preset time interval; during the color gradient process, controlling the light emitting assembly to be converted from a current color to a target color through at least one transition color, and the time interval of the conversion is the preset time interval; and the color control parameter of the transition color is associated with the color control parameter of the current color and / or the target color. The application can enrich the color transition effect, improve the smoothness of color transition, and improve the user visual experience.

The invention relates to the technical field of medical image processing, and discloses a laparoscopic surgery internal and external sphincter gap image semantic segmentation method and system, and the method comprises the steps: obtaining the position of an endoscope light source and the geometric information of a tissue surface in a laparoscopic real-time video stream; establishing an illumination physical model based on the acquired information, and generating an illumination influence map based on the illumination physical model; during semantic segmentation of an internal and external sphincter gap image, dynamically adjusting a segmentation strategy according to an illumination influence map, and when a potential gap boundary is located in a shadow region, reducing brightness feature dependence and enhancing texture / shape feature extraction; and when in the highlight area, color gradient and structure information are analyzed. According to the method, the physical illumination model is introduced, so that the semantic segmentation process becomes informed from blind, common illumination interference in the laparoscopic surgery image can be intelligently dealt with, and the accuracy and robustness of internal and external sphincter gap segmentation are remarkably improved.

The present application relates to a kind of based on the identification method of adjusting threshold value of monochrome object in image of gradient solution, belong to image recognition field.The method includes: according to the color of object to be detected Initial RGB color gamut under the threshold range is set;Collect a picture of the object to be measured in certain moment environment;The color gradient of picture is calculated, according to the threshold range under initial RGB color gamut the object to be measured is cut out, and according to the image of the object to be measured that is cut out updates HSV threshold range;New image is collected, and it is converted into HSV format;Using the updated HSV threshold value in newly collected image extracts the object to be measured;After extraction, image is morphologically detected, to complete object recognition.The present application solves the problem that the effect is poor when using fixed threshold value to detect object caused by the change of object color caused by environment illumination etc., in the same environment, the present application only needs to update threshold value to a picture, and the detection operation pressure is small thereafter, and real-time is good.

The application discloses a high-performance single-color gradient silicone watchband and a preparation method thereof, and belongs to the technical field of watchband processing. The single-color gradient silicone watchband comprises a silicone base layer, a single-color gradient silicone ink interlayer arranged on the surface of the silicone base layer, and a silicone protective layer arranged on the outer side of the single-color gradient silicone ink interlayer, wherein the color of the single-color gradient silicone ink interlayer is gradually distributed from deep to shallow along the length direction of the watchband. The structure and production process of the watchband are optimized, the layers of the watchband are firmly combined, the gradient effect is natural, and the wear resistance and service life of the watchband are improved.

The present invention relates to methods and systems for visualizing complexion gradients of a person or for visualizing dermatological skin attributes based on such complexion gradients showing an improved match to the person's complexion or skin condition and / or an improved match to the person's perception of its complexion or skin condition.

This invention provides a method for predicting the impact range of oil spills on floating ice surfaces based on a color gradient LBM model. It organically integrates the lattice Boltzmann method with the submerged boundary method, the free interface model, and the color gradient model. First, the lattice Boltzmann color gradient model is used to handle the coupling between oil and water, two mutually complementary miscible fluids. Then, the ice phase is added, and the submerged boundary method is used to handle the fluid-structure interaction problem. Finally, the free surface model is used to handle the problem of violent sea surface flow. This method fully considers the diffusion process of oil in polar ice and water, solving the problems of inaccurate simulation at fluid-structure interaction boundaries and numerical instability at fluid boundaries with large differences in density and viscosity. Combined with relevant detection data and the solution results of this model, accurate prediction of polar oil spills can be achieved.

The invention provides an efficient decoupling and object removal method based on a neural radiation field scene, and relates to the technical field of data processing, and the method comprises the steps: obtaining a multi-view-angle image data set, carrying out the view angle overlapping recognition, analyzing the projection cross relation of different space voxels in different view angles, obtaining an overlapping interference factor, and carrying out the recognition of the overlapping interference factor; extracting image areas with overlapping interference factors higher than a preset interference threshold value as high-interference blocks, performing clustering segmentation on space voxels in the high-interference blocks according to depth continuity and a color gradient trend to obtain a candidate object set, tracking color response paths and depth drift paths of candidate objects in each view angle image, and obtaining a candidate object set; and matching the color derivative change rate and the space coordinate difference between the two paths to obtain a reflection deviation value, identifying a candidate object of which the reflection deviation value is higher than an average value as a to-be-removed object, constructing a voxel shielding range region of the to-be-removed object, and removing the to-be-removed object from the multi-view image data set. According to the invention, the voxel region of the to-be-removed object can be accurately identified.

The invention discloses a river water quality gradient line rapid generation method based on an R-Tree technology, a terminal device and a storage medium, and the method comprises the steps: obtaining and simplifying river water system line data, and constructing an R-Tree spatial index; acquiring water quality sampling point data, and performing data cleaning; using R-Tree spatial indexes to retrieve river line segment blocks possibly matched with the water quality sampling points; and determining the water quality level and the corresponding color value of the sampling point, calculating the proportion of the accumulated length of the sampling point in the total length of the river channel, and generating a color gradient parameter, namely determining the water quality gradient line. According to the method, the R-Tree spatial index technology is introduced, so that the point and line segment matching calculation efficiency is remarkably improved, and the river water quality gradient line is quickly generated.

The application discloses a segment code screen and a preparation method thereof, a car instrument panel display device and a display method thereof, and belongs to the field of car instrument panel display. The application solves the technical problem that the actual display effect of the segment code screen in cooperation with a color film has obvious boundary color difference and poor overall visual effect. The technical scheme of the application comprises a screen ring, a segment code screen, a color film, a printed board support, a printed board and an instrument bottom shell arranged in sequence from top to bottom, the size of the segment code screen and the color film is the same, the printed board is provided with an LED light source, a gradient ink layer processed by UV printing is arranged at the back window boundary of the segment code screen, and the inkjet amount of the gradient ink layer gradually decreases along the inner ring to the outer ring direction of the car instrument panel. The gradient ink layer processed by UV printing realizes the color gradient and uniform color transition at the window boundary of the segment code screen after the car instrument panel is lighted. The application is used for segment code screen display of the car instrument panel.

The invention discloses a medical image diagnosis method, device and system and a storage medium, and the method comprises the steps: carrying out the preliminary diagnosis of a medical image through a medical context big language model, and generating a medical report; quantifying the credibility of each sentence in the medical report by using an uncertainty measurement algorithm to obtain a credibility score; dynamically marking report contents by using color gradient mapping, and highlighting high-risk diagnosis entries; generating a structured visual thermodynamic diagram for each sentence of report by utilizing an explainable method based on explicit attribution and an attention mechanism; a React-based front-end interaction framework is utilized to integrate visual interpretation and report editing functions, explainable diagnosis decision basis and risk entry early warning are provided, and doctors are assisted in visual and rapid targeted verification; a continuous learning framework is adopted, feedback of doctors is collected, and sentence-level correction and a flexible training strategy are introduced to continuously optimize diagnosis precision. According to the invention, the interpretability and continuous learning ability of medical image diagnosis are improved.

The invention discloses tourist attraction identification advertising equipment, and relates to the technical field of tourist attraction identification advertising boards, the tourist attraction identification advertising equipment comprises a supporting column, and the bottom of the supporting column is fixedly connected with a base; an adjusting mechanism is arranged at the top of the supporting column, and a mounting assembly is arranged in the adjusting mechanism. Wherein the adjusting mechanism comprises a bottom plate fixedly connected to the top of the supporting column, and a top plate is arranged at the top of the bottom plate, so that the effect of rapidly rotating and adjusting lighting of the lamp tubes can be achieved, the three-color lamp tubes alternately sweep the surface of the advertising board during rotation, a dynamic visual focus is formed, and the night visibility problem is solved; compared with a traditional LED display screen, according to the design, electronic pixel dynamic display is replaced with mechanical rotation, meanwhile, the core function and content updating convenience of night propaganda are reserved, and the display effect of science and technology feeling and artistry is achieved through color gradient and light and shadow rhythm movement, so that the tourist stopping rate is remarkably increased. And triple breakthrough of functionality, ornamental value and economical efficiency is realized.

The application discloses an image processing method applied to color difference detection of printed matter surfaces, and relates to the technical field of image processing, which comprises the following steps: acquiring a digital image of printed matter to be detected and performing non-uniformity correction of illumination, and converting the corrected digital image to a CIELAB color space; performing region segmentation on the digital image based on double constraint conditions of color gradient and texture boundary to generate a detection region map; extracting feature parameters based on the detection region map to generate a feature data set; establishing a dynamic reference model by using process parameters and material characteristics of the printed matter; calculating the distance between the feature data set and the dynamic reference model, identifying a color difference region, and generating a color difference score; and screening and grading the color difference region according to the color difference score. The application adopts a light correction technology combining a multi-layer image pyramid and a homomorphic filter, and introduces an adaptive weight fusion mechanism based on image features, so that the non-uniformity of illumination is effectively eliminated while the clarity of printed details is maintained.

The invention discloses a controllable pixelated color display device based on indium tin oxide (ITO), which realizes full-color-gamut accurate color display in a visible light region through double-variable coordinated regulation and control of the thickness of an indium tin oxide (ITO) film and a heating temperature, and does not need additional functional materials. The display unit comprises a substrate, a reflecting layer and an ITO functional layer from bottom to top, RGB color gamut coverage is achieved through thickness regulation and control, and single-thickness multi-color gradient can be achieved through heating at the temperature of 150-350 DEG C. The pixelated device is additionally provided with a cross electrode connection layer and an insulation isolation layer, an M * N matrix array is adopted, pixel-level addressing is achieved through passive matrix driving, and dynamic color switching is achieved through accurate heating through electric heating. The device is simplified in structure and low in cost, the technology is compatible with an existing semiconductor process, large-scale mass production is adapted, and the device can be widely applied to the fields of intelligent terminals, AR display, vehicle-mounted display and wearable equipment.