104 results about "Color processing" patented technology

This invention provides an image processor, a processing method, a storage medium, and a mixed reality display system. The image processor includes: a first color management module, whose input is connected to a rendering module, for acquiring virtual layer data from the rendering module and performing first color processing on it; a second color management module, whose input is connected to a camera module, for acquiring real-world layer data from the camera module and performing second color processing on it; a layer blending module, whose inputs are respectively connected to the first and second color management modules, for performing layer blending processing on the color-processed virtual layer data and real-world layer data to determine mixed image data; and a third color management module, whose input is connected to the layer blending module, for acquiring mixed image data from the layer blending module, performing third color processing on it, and outputting the third-color-processed mixed image data to a mixed reality display.

The invention provides an underwater image enhancement method combining multiple color spaces and multiple scales, and belongs to the technical field of image enhancement and deep learning. The method comprises the following steps: processing an underwater image through a color processing channel to obtain color fusion features; processing the underwater image through a scale processing channel to obtain scale fusion features; and fusing the color fusion feature and the scale fusion feature of the underwater image to obtain an enhanced image. According to the method, a multi-color space and multi-scale coordinated double-coding enhancement network is adopted, different color spaces are coded through parallel residual errors in multi-color space coding, and the limitation of a single-color space method on color cast correction, color distortion processing and contrast difference is effectively solved by decoupling color and brightness information. In multi-scale coding, hierarchical feature extraction and cross-scale information complementation are adopted to capture details and texture features of an image on different scales, and blurring and detail loss at different depths can be effectively processed.

This disclosure provides systems, devices, apparatus, and methods, including computer programs encoded on a storage medium, for energy-efficient display color processing for static areas on a screen. A processor may obtain a first indication that a first region of a first frame will remain static. The processor may aggregate a second region of each frame in a set of frames following the first frame based on the first indication, where each frame in the set of frames includes the first region to remain static, and where the second region of each frame in the set of frames is different for each frame in the set of frames. The processor may output a second indication of the aggregated second region of each frame in the set of frames.

The embodiment of the application discloses an image processing method and device, relates to the technical field of image processing, and can identify and process white bottom icons, and improves user experience. The specific scheme is as follows: color information of a picture to be rendered is acquired; the color information of the picture to be rendered comprises color categories of the picture to be rendered, color values of four corners of the picture to be rendered, a proportion of non-transparent pixels in the picture to be rendered, and a proportion of white pixels in the picture to be rendered; and based on the color information of the picture to be rendered, if it is determined that the picture to be rendered is a white bottom icon, the picture to be rendered is subjected to inverse color processing.

The invention discloses a geometric processing method and system, a processor, equipment, a medium and a product, and the method comprises the steps: carrying out the first-stage geometric processing of a to-be-processed first vertex, and obtaining a second vertex; performing second-stage geometric processing on the second vertex to obtain data after geometric processing; wherein the geometric processing of the first stage is used for removing the vertexes, which do not need to be subjected to coloring processing, in the first vertexes based on a primitive removal mode, so as to obtain second vertexes; the geometric processing of the second stage is a geometric processing process aiming at the second vertex, and the geometric processing of the first stage lacks the coloring processing compared with the geometric processing of the second stage. Based on the embodiment provided by the invention, the overall performance of geometric processing can be optimized by combining staged vertex elimination and coloring processing.

A camera parameter automatic optimization system for binocular depth estimation, a true value acquisition module acquires a depth true value map in a simulation environment; an Auto-CAM learning module adopts a deep reinforcement learning framework based on an actor-critic, learns in reverse propagation according to a current camera configuration, a state vector generated by left and right view images and a depth error, so as to optimize camera parameters such as focal length, baseline distance and distortion coefficient; a deployment module outputs an optimal camera parameter configuration under a specific scene, a camera calibration module acquires accurate camera parameters through corner scanning, an image acquisition module acquires RGB binocular images, a depth map prediction module outputs a predicted disparity map by using a stereo matching network algorithm and converts the predicted disparity map into a depth map, and finally, a visual rendering module performs filtering and color processing. The application not only improves the accuracy of depth estimation and the adaptability of the system, but also improves the accuracy and efficiency of camera calibration, optimizes the user experience and visual effect.

The invention relates to a color processing method and apparatus, a device, a storage medium and a program product. The method comprises the steps of obtaining a first pixel value of a node in a native color gamut of a display device; performing conversion processing on the first pixel value of the node in the native color gamut based on a conversion function to obtain a second pixel value of the node in the native color gamut; wherein the matching degree between the color composition indicated by the second pixel value and the node is higher than the matching degree between the color composition indicated by the first pixel value and the node; performing conversion processing on the second pixel values of the nodes in the original color gamut based on a preset conversion matrix to obtain coordinate values of the second pixel values of the nodes in the original color gamut in a preset color space; wherein the preset conversion matrix is a conversion matrix for converting the nodes in the original color gamut from the color space where the nodes are located to the preset color space, so that the color distribution condition of the original color gamut of the display equipment is accurately evaluated, and the accuracy of converting the nodes in the original color gamut of the display equipment to the preset color space is improved.

The present application provides a kind of conditional image generation method and related device based on point rasterization, according to the environment image corresponding to target time, target point cloud set is colored processing;The target point cloud set after coloring processing is carried out front and background separation processing, to determine the dynamic foreground region and static background region therein;Combining the historical point cloud set in time window, the incomplete area is completed;Using perspective projection mapping relationship, the target point cloud set after completion is projected to the image coordinate system of vehicle, to obtain first projection image;The raster area in first projection image is rendered, to obtain the conditional image of point rasterization.It is analyzed frame by frame to original laser radar point cloud data and image plane mapping, and combined with point rasterization processing, constructs the geometric conditional image with pixel level precision, provides structure priori support for subsequent new view synthesis and controllable video generation.

The invention relates to the technical field of image processing, in particular to an image processing method, electronic equipment, a readable storage medium and a program product. The method comprises the following steps: detecting a user operation (recorded as a first user operation) for starting quick coloring in an interface of a drawing application running in the electronic equipment, displaying M frames of images recommended to a user, and further determining at least one frame of reference frame image from the M frames of images based on the selection of the user as a coloring reference. The electronic equipment can color the to-be-colored images in the multiple frames of images of the first animation in batches according to at least one frame of reference frame image selected by a user, and colored images corresponding to the multiple frames of images of the first animation are generated. Therefore, when the image sequence containing multiple frames of images (such as animation line manuscripts and the like) is colored, the coloring processing efficiency can be improved.

The application discloses a method for calculating the area of pesticide application. The method comprises the following steps: obtaining the motion trajectory of a pesticide application device, and intercepting a third trajectory located in a first area to be applied with pesticide; obtaining a radiation range according to the third trajectory and the pesticide application range, and performing color processing; calculating the area after color processing to obtain the pesticide application area, and judging the pesticide application condition in combination with a target area. In addition, after the pesticide application is completed, a trajectory point is randomly selected as a detection position, and a corresponding plant image is required to be uploaded for verification. The application solves the area calculation problem of irregular areas and overlapping spraying through a color algorithm, and realizes precise quantitative evaluation and anti-fraud supervision of the pesticide application quality in combination with a random inspection mechanism.

The invention relates to the technical field of photoelectric data processing, provides a light wave chromatography computer coding method, system and architecture based on a toning principle, and aims to break through the performance bottleneck of traditional electronic calculation. According to the method, physical-level color processing is realized through color binary coding and light wave state discrete mapping based on an optical toning principle. The system integrates a digital input interface, a wavelength coding converter, a light wave operation core and a wavelength analysis unit, and supports efficient optical signal direct operation. On the architecture level, an extended von Neumann design is adopted, a three-level Clos-WSS optical interconnection network, a photon ALU and a PCM holographic main memory are included, and femtosecond-level delay, low power consumption and high parallelism are achieved. Advantages include physical level computational accuracy, nearly zero data handling energy consumption, and large scale wavelength level parallel processing. The method is suitable for 8K video real-time color modulation, industrial sorting and other high-requirement scenes, and a subversive solution is provided for the fields of automatic driving, digital twinning and the like.

The application belongs to the technical field of machining and provides a multi-directional micro-groove structure superposition modulation structural color machining method, which comprises the following steps: determining a first interval between two adjacent first grooves to be machined according to first preset information; machining a plurality of parallel first grooves on the surface of a workpiece according to the first interval; determining a second interval between two adjacent second grooves to be machined according to second preset information; and machining a plurality of parallel second grooves on the surface of the workpiece according to the second interval, wherein the length direction of the first grooves is not parallel to the length direction of the second grooves. The application is conducive to improving the depth of the color presented by the surface of the workpiece and can also present a plurality of different colors, thereby being conducive to realizing more color levels or the display of complex color effects.

The invention discloses a color high contrast processing algorithm for four-color electronic paper, and relates to the technical field of electronic paper display technology and image processing, and the method comprises the specific steps: firstly, carrying out feature extraction, converting an original RGB image to an HSV space, carrying out the statistics of the pixel proportion of a brightness interval, screening red and yellow pixels, and calculating the feature and the proportion of four colors; a dynamic clustering center is generated; performing weighted clustering mapping to generate an intermediate image; enhancing the saturation and boundary contrast of the adaptive image in a linkage manner; and finally, modular adaptive output: selecting scheme optimization data, converting the scheme optimization data into a 2-bit format, and outputting the two-bit format after verification. According to the method, through multi-dimensional feature extraction and dynamic clustering center generation, accurate color mapping is realized, and the color rendition degree and comfort degree are improved; and through multi-factor linkage enhancement and modular adaptive output design, the display effect and hardware adaptability are considered, the detail expressive force is enhanced, the integration process is simplified, reliable data transmission is guaranteed, and the application adaptation and display quality is improved.

The invention relates to the technical field of image processing, and provides an image color filling method and device, equipment and a storage medium. The method can solve the problem of low success rate of line draft drawing in related technologies, and comprises the following steps: obtaining a line draft, obtaining a text prompt set corresponding to the line draft, adopting the text prompt, carrying out initial color filling processing on the line draft, and generating an initial image and a plurality of initial feature maps; based on the plurality of initial feature maps, extracting an initial color filling area corresponding to each cue word in the at least one cue word in the initial image, and when any initial color filling area is not matched with semantic information of the corresponding cue word, performing area division adjustment on the extracted at least one initial color filling area, obtaining a reference color filling area corresponding to each cue word in the at least one cue word; and performing target color filling processing on the line draft based on the obtained reference color filling areas, the line draft and the at least one prompt word to generate a target image.

The embodiment of the invention discloses a map processing method and device, electronic equipment and a storage medium. The method comprises the following steps: determining a first texture map of a target three-dimensional model and target color information of a target part on the target three-dimensional model; initial map color information of a target area corresponding to the target part in the first texture map is determined, and target map color information corresponding to the initial map color information is determined based on a pre-trained color processing model; and obtaining a second texture map corresponding to the target color information based on the target map color information and the first texture map. According to the technical scheme, the problems that in the prior art, the efficiency of manually changing the color of the three-dimensional model map is low, and the accuracy and the consistency are difficult to guarantee are solved, efficient and automatic processing of color change of the three-dimensional model map is achieved, and the purposes of improving the color processing quality and speed of the three-dimensional model and improving the processing efficiency of the three-dimensional model map are achieved. And the technical effect of meeting high-quality digital content creation requirements is achieved.

An industrial camera and an image processing method, which relate to the technical field of machine vision. The industrial camera comprises a spectral sensor, an image sensor, and a processor. When the image sensor collects an original image of a photographed object, the spectral sensor collects spectral information of an ambient light source. The processor determines, on the basis of the spectral information, a target color correction matrix corresponding to the spectral information in a pre-calibrated color correction matrix database, and finally performs color processing on the original image on the basis of the target color correction matrix, and obtains a target image. By applying the solution provided in embodiments of the present application, the industrial camera can automatically acquire current spectral information of the ambient light source, and perform color processing on the original image on the basis of the color correction matrix corresponding to the spectral information to obtain the target image, thereby simplifying the adjustment process of the industrial camera.

The invention provides an aim point display method and device, electronic equipment and a storage medium. The method comprises the steps that an aim point graph is displayed on a display picture of an application program in an overlapped mode; acquiring a background image of an area where the aim point graph is located in real time, and extracting color features of the background image; determining a target color according to the color features and a preset color processing strategy, wherein the target color is used for forming visual contrast between the aim point graph and the background image; and updating and displaying the aim point graph by using the target color. According to the scheme, the color of the aim point can be adaptively adjusted along with the change of the background in real time, so that the aim point can be kept clear and distinguishable by forming strong visual contrast with the background in any complex game scene, and the aiming accuracy and the game experience are remarkably improved.

An endoscopic image processing method suitable for using an endoscope to capture images of diseased parts, which comprises following steps: providing a first image and a second image of the diseased parts, wherein wavelengths or polarized angles of the first image and the second image are different; performing binary image processing on the second image; performing multiply processing on the second image to produce a first multiply image according to a result of the binary image processing; performing pseudo-color processing on the first multiply image to produce a first pseudo-color processed image; and integrating the first pseudo-color processed image with the first image to produce a first integrated image. The endoscopic image processing method acquires images with a plurality of bands or polarized angles of a same area, and improves endoscopic image quality of the diseased parts by processing and integrating these images.

The invention provides a rendering processing method and device, electronic equipment, a storage medium and a program product, and the method comprises the steps: determining a cut first primitive from primitives of a rendering object in an interpolation stage of rendering processing of the rendering object; for any pixel point in the first primitive, under the condition that a first attribute that a fragment shader requires to transmit an attribute value and does not need interpolation processing exists in the attributes of the pixel point, a first barycentric coordinate of the pixel point relative to a second primitive is determined, and the second primitive is a primitive corresponding to the first primitive before cutting; and sending the first barycentric coordinate and the attribute value of the first attribute of each vertex of the second primitive to a fragment shader, so that the first barycentric coordinate and the attribute value of the first attribute of each vertex of the second primitive participate in the coloring processing of the fragment shader on the pixel point. According to the embodiment of the invention, the processing deviation of the fragment shader can be reduced, and the rendering effect is improved.

The application provides a kind of line box direction adjusting method based on image processing, it is related to image processing technical field, it is by establishing standard control image under different parameters, and the standard control image is carried out reverse color processing;Afterwards, the collected gray scale image is first determined vertex and offset angle, and the picture is corrected using offset angle;Using the corrected image and standard control image are compared, if comparison is successful, then the line box is adjusted according to the aforementioned picture adjustment angle;If comparison fails, then on the basis of the aforementioned picture adjustment, it is rotated 90° clockwise for secondary verification, if still comparison fails, then it is marked, and artificial processing is carried out, the reason of identifying problem is recorded and log is recorded;Through picture adjustment comparison method, the position of line box can be verified before mechanical equipment adjusts the position, to improve the accuracy of subsequent mechanical equipment adjustment position;Convenient for subsequent production step processing, improve production efficiency.

The invention relates to the technical field of anti-counterfeiting, and discloses a titanium substrate nano iridescent anti-counterfeiting structural color and a composite laser processing method and application thereof, and the method comprises the following steps: providing a titanium metal substrate; the titanium metal substrate is pretreated through a wide-pulse-width laser light source, so that a self-flowing layer is formed on the surface of the titanium metal substrate; and an ultrafast laser light source is adopted to carry out scanning processing on the titanium metal substrate on which the self-flowing layer is formed according to the anti-counterfeiting encryption icon, a nano grating structure capable of extracting a period is induced, and the titanium substrate nano iridescent anti-counterfeiting structural color is obtained. According to the technical scheme provided by the invention, the quality and environmental friendliness of anti-counterfeiting iridescent structural color processing can be ensured.

The invention provides an image processing method and device and electronic equipment, and the method comprises the steps: obtaining a to-be-processed image, inputting the to-be-processed image into a feature extraction module for feature extraction, and obtaining an intermediate image feature; inputting the intermediate image features into a coloring module for coloring processing to obtain colored image features; fusing the coloring image feature and the intermediate image feature to obtain a first fusion feature; inputting the first fusion feature into a restoration module for image restoration to obtain a restored image feature; and inputting the repaired image features into a resolution enhancement module for image resolution enhancement processing to obtain a target image. The coloring image features output by the coloring module are used for processing of the restoration module and the resolution enhancement module, feature information sharing among the coloring module, the restoration module and the resolution enhancement module is achieved, and the image quality of the obtained target image is improved.

The invention provides a color processing method and device for a virtual scene, electronic equipment, a computer readable storage medium and a computer program product. The method comprises the steps of obtaining color information of a virtual scene in a color space, performing first space transformation processing on the color information to obtain brightness color information of the virtual scene in a brightness color space, determining a region to be subjected to color complementation in the virtual scene, and performing color complementation processing on the region to be subjected to color complementation based on the brightness information in the brightness color information to obtain a color complementation result. And performing second spatial transformation processing on the complementary brightness color information to obtain complementary color information of the virtual scene in the brightness color space, and performing second spatial transformation processing on the complementary color brightness color information to obtain complementary color information of the virtual scene in the color space. Through the method, the visual effect of the virtual scene can be improved, and meanwhile, the utilization rate of computing resources is improved.

The application relates to the technical field of surveying and mapping engineering, and discloses an island reef three-dimensional real scene mapping method based on unmanned equipment, which comprises the following steps: analyzing high-resolution satellite remote sensing images to obtain a survey area sketch map, arranging ground control points to obtain high-precision geographic coordinates, planning adaptive flight routes for the unmanned equipment, collecting island reef multi-angle original image data, performing uniform light and color processing on the images to obtain a standardized image sequence, extracting a feature point set, completing multi-baseline multi-view matching, constructing a connection point network, taking the high-precision geographic coordinates as constraints, performing joint regional network adjustment by the beam method to obtain high-precision exterior orientation elements and encrypted point coordinates, performing pixel-by-pixel depth estimation based on the high-precision exterior orientation elements and the encrypted point coordinates, obtaining island reef three-dimensional point cloud data, constructing an irregular triangle network for the three-dimensional point cloud, and generating a measurable three-dimensional real scene model of the target island reef through texture mapping. The application can improve the efficiency of island reef three-dimensional real scene mapping.

This invention proposes a method and system for controlling the color gamut of a mobile phone screen. The method includes: collecting the spectral characteristics of ambient light and constructing a spectral matrix; constructing a dynamic reference color model based on the spectral matrix to generate a global color gamut adjustment matrix; dynamically adjusting the screen color gamut according to the global color gamut adjustment matrix; collecting the user's eye movement data in real time, constructing a gaze region, and performing regional color gamut optimization analysis by combining the gaze region with the dynamic reference color model; performing local compensation based on the optimization analysis results and the global color gamut to generate a final local color gamut matrix; reducing energy consumption in non-gaze regions and minimizing unnecessary color processing. This invention, by combining ambient spectral detection and eye-tracking technology, provides an intelligent and dynamic color gamut adaptive adjustment system, solving the shortcomings of existing technologies in terms of ambient light adaptability, color accuracy, and energy efficiency, and has significant innovation and practical value.

The invention relates to the technical field of 3D printing, and provides a hybrid manufacturing and coloring device and a control method thereof.The hybrid manufacturing and coloring device comprises a hybrid manufacturing transmission mechanism and a hybrid manufacturing printing head, and the hybrid manufacturing transmission mechanism is used for driving the hybrid manufacturing printing head to move in the X-axis direction, the Y-axis direction and the Z-axis direction so as to conduct model printing treatment; the top coloring transmission mechanism and the top coloring head are fixedly installed on the top coloring transmission mechanism, and the top coloring transmission mechanism is fixedly installed on the conveying belt frame and used for driving the top coloring head to move in the Y-axis direction and the Z-axis direction to conduct coloring treatment on the top of the model; and the side edge coloring transmission mechanism and the side edge coloring head are fixedly installed on the side edge coloring transmission mechanism, and the side edge coloring transmission mechanism is fixedly installed on the conveying belt frame and used for driving the side edge coloring head to move in the Y-axis direction and the Z-axis direction so as to conduct coloring treatment on the side edge of the model located on the conveying belt. According to the invention, mixed manufacturing can be carried out, and different areas of a printed piece can be accurately colored.

The invention belongs to the technical field of camouflage, and particularly discloses an anti-unmanned aerial vehicle and anti-face recognition pattern generation method and system based on bionic camouflage, and the method comprises the steps: selecting a target environment background picture, carrying out the color space conversion and mixed color processing, extracting background textures and bionic camouflage textures, carrying out the superposition and synthesis after visual illusion deformation, and carrying out the recognition of an anti-unmanned aerial vehicle and an anti-face recognition pattern. Performing color filling and digital camouflage design to generate a bionic camouflage pattern; meanwhile, a labeling data set is constructed, a YOLOv5l model is combined with an improved gradient CAM algorithm to carry out adversarial training, and adversarial samples enabling the accuracy of the target recognition model to be reduced by more than or equal to 40% are generated; and the system has a dynamic updating capability. Compared with the prior art, by means of the synergistic effect of bionic texture and confrontation training, efficient interference on unmanned aerial vehicle visual recognition and camera face recognition is achieved, and the method has the capacity of environment self-adaptive generation and dynamic confrontation upgrading and can be widely applied to camouflage scenes of equipment, personnel and important targets.

This application discloses a method, system, terminal, and storage medium for measuring urban 3D greening features based on a human-centered perspective and ground-air fusion, relating to the field of data processing technology. The method includes: acquiring multi-source data corresponding to a target area, including oblique photogrammetry data acquired from aerial equipment and laser point cloud data acquired from ground-based equipment; performing color processing on the laser point cloud data according to preset point cloud coloring operations to obtain target point cloud data; constructing a 3D greening model corresponding to the target area based on the oblique photogrammetry data and the target point cloud data; determining the corresponding human-centered viewpoint point in the 3D greening model according to a preset viewpoint height; constructing a ray beam based on the human-centered viewpoint point and preset field-of-view parameters; and determining the value of the greening feature evaluation index corresponding to the target area based on the collision detection results between the rays in the ray beam and the 3D greening model. This improves the accuracy of urban greening feature measurement.

The present invention proposes a multi-scale feature fusion Vision-Transformer model method for rolling bearing fault diagnosis, comprising the following steps: first, by designing a multi-scale feature extraction module, one-dimensional vibration signal features are extracted using convolution kernels of different sizes; second, time-frequency images are generated using short-time Fourier transform and pseudo-color processing techniques; finally, the time-frequency images are segmented and rearranged, flattened into one-dimensional vectors and spliced ​​together as input sequences, and the advantages of the self-attention mechanism and encoder are utilized to input them into the Vision-Transformer model for rolling bearing fault diagnosis. The present invention can not only simultaneously solve the problem of low diagnostic accuracy inherent in mainstream deep learning-based fault diagnosis models, but also can be applied to the fault diagnosis of other rotating machinery to improve their diagnostic accuracy.

The invention discloses a yoga mat color collision processing device which comprises a rack, a pressing roller is installed on the rack, a shell is arranged on the rack and located on the upper side of the pressing roller, a plurality of T-shaped hoppers are arranged in the shell in a sliding mode, and a driving mechanism for driving the T-shaped hoppers to move in a reciprocating mode in the axial direction of the pressing roller is arranged in the shell. The T-shaped hopper comprises a transverse bin and a vertical bin, a first belt wheel driving rubber to move towards the vertical bin is arranged in the transverse bin, a first pressing wheel and a second pressing wheel are arranged at an outlet of the vertical bin, and the outlet faces the pressing roller. An external driving source drives the synchronous belt wheel to rotate, then the clamping unit drives the T-shaped hopper to move in a reciprocating mode in the axial direction of the pressing roller, the rotating speed and rotating stopping of the driving part are controlled through the external PLC, and therefore the rotating speed and rotating stopping of the first pressing roller and the second pressing roller are controlled, the discharging amount of the vertical bin is adjusted, and the effect of controlling rubber discharging and the rubber discharging position is achieved.