519 results about "Background color" patented technology

Various disclosed embodiments are directed to automatically generating a score indicative of a recommendation for applying a color value to content in an image based on extracting features from one or more objects in the image. In other words, particular embodiments map currently detected objects in an image to objects of the same class of historical images, which are then mapped to their corresponding background colors in order to recommend a particular background color of an image. In an illustrative example, if a particular set of Christmas objects, such as a reindeer object and Santa object, have historically been included in a red background, particular embodiments recommend a red color for the background of a currently processed image that includes the same reindeer and Santa objects.

The invention provides an electric power drawing automatic forming method and system based on image recognition, and belongs to the technical field of image processing.The method comprises the steps that primitives in a first electric power drawing are recognized, and the position coordinates of each primitive are extracted; filling pixels obtained by recognition in the first electric power drawing with background colors, recognizing characters in the first electric power drawing, and extracting position coordinates of each segment of characters; filling characters obtained by recognition in the first electric power drawing with background color, recognizing line segments in the first electric power drawing, and extracting starting point coordinates and terminal point coordinates of each line segment; and automatically generating a second electric power drawing based on the position coordinate of each primitive, the position coordinate of each segment of text, and the starting point coordinate and the end point coordinate of each line segment. According to the electric power drawing automatic forming method and system based on image recognition, the drawing efficiency of the electric power drawing can be improved.

The utility model provides a backboard electronic price tag guide rail which is fixed on an external supporting structure through a guide rail fixing mechanism 10, the price tag fixing mechanism is composed of a transparent fixing plate, an upper hook plate and a lower hook plate, and a paper clamping mechanism is arranged on the back face of the transparent fixing plate. The background paperboards with different colors are fixed in the paper clamping mechanism to flexibly configure the background color of the price tag, the commodity can be marked clearly and conveniently, the transparent fixing plate extends downwards to form an additional information display area, a clamping and fixing mechanism does not need to be additionally arranged, and the price tag is simple in overall structure, convenient and easy to use.

A multiple layered print structure and apparatus to apply a design or image to fabric or cloth is disclosed. The structure may include one or more print layers printed on a substrate and an adhesive layer deposited on the print layer(s). The one or more print layer(s) and adhesive or resin layer may be deposited on the substrate in a pre-set pattern to form the shape profile for the design or image. The print layer(s) include inks or dyes for printing the print features and / or background color(s) of the image or design. The ink may be combined with a binder material to form the print layer(s). In some embodiments, the process includes the step of printing the multiple layered print structure using a combination of digital printing processes simplify the process for printing a design or image on fabric or cloth.

Provided in the embodiments of the present description are an image processing method and apparatus, and a device and a storage medium. The method comprises: acquiring an image to be matted which has a pure-color background; determining a ternary graph corresponding to the image to be matted; selecting a target image from an A-channel image and a B-channel image, in a LAB color space, of the image to be matted, wherein the color of the target image is closer to the background color of the image to be matted; by taking the target image as a guide image, performing guided filtering processing on the ternary graph to obtain an Alpha image; and on the basis of the Alpha image, performing matting to obtain a foreground area from the image to be matted. By means of the solution, details of an edge part of a foreground area can be retained to the greatest extent; in addition, the processing speed of a matting process can be increased.

The invention relates to the technical field of image processing and automatic cutting, and discloses an image contour extraction and cutting method, which comprises the following steps of: setting shooting equipment at a target position, placing an actual length reference mark, shooting a reference mark image through the shooting equipment, measuring the number of pixels and determining a pixel density reference parameter; collecting an image containing the target object and the background area through the shooting equipment; identifying a to-be-replaced pixel matched with the background color based on the background color, replacing the to-be-replaced pixel with a transparent pixel, and generating a processed image after the background is eliminated; performing edge detection on the processed image, extracting contour information of a target object, generating a vector contour file of an actual size in combination with a pixel density reference parameter, and generating a cutting path; and the cutting path is sent to the cutting device, and cutting operation of the target object is completed. According to the method, the image of the target object is collected in real time, the vector contour file of the actual size is generated in combination with the pixel density reference parameters, and dynamic and accurate target object cutting is achieved.

A multiple layered print structure and apparatus to apply a design or image to fabric or cloth is disclosed. The structure may include one or more print layers printed on a substrate and an adhesive layer deposited on the print layer(s). The one or more print layer(s) and adhesive or resin layer may be deposited on the substrate in a pre-set pattern to form the shape profile for the design or image. The print layer(s) include inks or dyes for printing the print features and / or background color(s) of the image or design. The ink may be combined with a binder material to form the print layer(s). In some embodiments, the process includes the step of printing the multiple layered print structure using a combination of digital printing processes simplify the process for printing a design or image on fabric or cloth.

A multiple layered print structure and apparatus to apply a design or image to fabric or cloth is disclosed. The structure may include one or more print layers printed on a substrate and an adhesive layer deposited on the print layer(s). The one or more print layer(s) and adhesive or resin layer may be deposited on the substrate in a pre-set pattern to form the shape profile for the design or image. The print layer(s) include inks or dyes for printing the print features and / or background color(s) of the image or design. The ink may be combined with a binder material to form the print layer(s). In some embodiments, the process includes the step of printing the multiple layered print structure using a combination of digital printing processes simplify the process for printing a design or image on fabric or cloth.

A display data generation device includes an input unit that receives input of target data including a text sequence and annotation information corresponding to texts included in the text sequence, and a display preparation unit that determines, on the basis of the annotation information, annotation expression information indicating a background color of a display screen of a display device and a position and a range in which a corresponding background color is displayed for expressing correspondence relationship between the texts and the annotation information in a case where the display device displays the texts, and generates display data for causing the text sequence and the annotation information to be displayed according to a sequence in the text sequence, the display data being for causing the background color indicated by the annotation expression information to be displayed at the position and the range indicated by the annotation expression information.

The invention relates to the technical field of photoelectronics, in particular to an ambient light compensation method and device, biological information acquisition equipment and a storage medium, and aims to improve the accuracy of ambient light compensation. The method comprises the steps that when the distance between an object and a distance sensor is smaller than a preset threshold value, an environment image is shot; based on color information in the environment image, determining an original light color and a color cast value of the current environment light; based on the original light color and a preset target light color of target ambient light, determining a compensation light color corresponding to the current ambient light; determining a light brightness adjustment parameter based on the compensation light color and the color cast value; and performing light compensation on the current ambient light by adopting the compensation light color based on the light brightness adjustment parameter. Since the ambient light is directly compensated instead of adjusting the bottom color of the image, a model does not need to be trained, and various different ambient lights can be accurately compensated.

The invention provides a digital twin image rendering method, device and system and a medium. The method comprises the following steps: creating a corresponding bounding box for each model object in a target three-dimensional scene; determining a unique color, except the configured background color, corresponding to each model object, and generating bounding box information corresponding to each model object, so as to render a bounding box of each model object under the current view angle in a frame buffer and obtain corresponding pixel information, rendering the bounding box of the plurality of model objects under the current view angle in the frame buffer area, and obtaining corresponding pixel information; according to the pixel information and the unique color corresponding to each model object, determining a model object needing to be rendered under the current view angle; the model objects needing to be rendered comprise model objects which are not shielded or not completely shielded; and rendering the model object to be rendered. According to the method, the rendering performance is improved, and the accuracy of the rendering result is improved.

The invention provides a canteen catering compliance real-time monitoring system and method based on image recognition. The canteen catering compliance real-time monitoring system comprises a heterogeneous sensor array. Edge computing nodes; the environment self-adaption module is used for solving the recognition problems in complex scenes such as background color interference, day and night illumination fluctuation and steam shielding through HSV histogram similarity analysis and dynamic weight adjustment; a behavior compliance analysis engine; and a real-time feedback execution module. A multi-source sensor clock is synchronized, a unified space-time coordinate system is established, an illumination-infrared weight dynamic mapping and environment feature compensation algorithm is adopted, a visible light image flow, thermodynamic data and depth information are processed in parallel, multi-modal features are fused for composite operation behavior recognition, and a dynamic response instruction is generated according to a predefined compliance strategy library. According to the method, the recognition accuracy in a background color interference scene can be improved, and the night false alarm rate is reduced. According to the invention, the problem of poor adaptability to complex environments in traditional supervision can be effectively solved, and the food safety management level is significantly improved.

The invention discloses a quantitative evaluation method for the adhesion of aggregate based on a water boiling method, and aims to solve the technical problem that the adhesion performance of asphalt and aggregate tested by the water boiling method can only be evaluated qualitatively and cannot be quantified. The quantitative evaluation method comprises the following steps: 1, carrying out a water boiling test on the adhesion performance of the asphalt and the aggregate by adopting a water boiling method; 2, shooting by adopting an industrial camera to respectively obtain images of four side surfaces coated with the asphalt aggregate and images of four side surfaces of the boiled asphalt aggregate; 3, unifying the background color of the side image, and then eliminating a reflective area on the surface of the aggregate through a two-stage reflective removal method to obtain a reflective-removed aggregate image; and 4, calculating the asphalt peeling rate on the surface of the aggregate by calculating the areas of the four side surfaces of the aggregate and the asphalt peeling area. According to the method, the boiling method and the image processing method are combined, the highlight area of the image is eliminated through the light reflection removing algorithm, the asphalt peeling area can be accurately calculated through the image method, and therefore the adhesion grade of the aggregate can be accurately judged.

A multiple layered print structure and apparatus to apply a design or image to fabric or cloth is disclosed. The structure may include one or more print layers printed on a substrate and an adhesive layer deposited on the print layer(s). The one or more print layer(s) and adhesive or resin layer may be deposited on the substrate in a pre-set pattern to form the shape profile for the design or image. The print layer(s) include inks or dyes for printing the print features and / or background color(s) of the image or design. The ink may be combined with a binder material to form the print layer(s). In some embodiments, the process includes the step of printing the multiple layered print structure using a combination of digital printing processes simplify the process for printing a design or image on fabric or cloth.

Embodiments extract a layout from a digital image of a document, including performing an analysis of image data to identify areas of content and storing the identified areas as design elements of an electronic document template. Analyzing the image data to identify areas of interest includes testing a plurality of lines of pixels from the digital image against a background color definition to identify boundaries of a content area of interest. Content from the content area of interest is processed using a machine learning model to assign a content type for the content area of interest, where the machine learning model represents multiple types of content and is trained to assign content types to input content. The content area of interest is stored as a design element of a digital page template.

Provided in the embodiments of the present description are an image processing method, and a device and a storage medium. The method comprises: acquiring an image to be subjected to matting; determining the distance between color coordinates of each pixel point in said image and a predetermined hyperplane, wherein the hyperplane is a classification boundary of a background color and a non-background color of said image; and on the basis of the distance which corresponds to each pixel point, determining the probability of each pixel point being a foreground area of the said image, so as to perform matting processing on said image on the basis of the probability. In the embodiments of the present application, the distribution range of a background color accurately defined by means of a high-dimensional hyperplane can be used, so that a foreground area and a background area, which are obtained by means of matting, are also more accurate, thereby obtaining a matted image which is natural in transition.

A system for capturing, identifying, and processing images and soft biometrics includes an image capture device, a pan and tilt device, a speaker for audio feedback, and a microphone for voice capture, all controlled by a computing device. Image capture is enhanced by detecting image focus, facial recognition matching, detecting the number of subjects and unwanted objects, and checking the cropped image by detecting whether eyes and mouth are open or closed, detecting redeye, detecting background color, detecting lighting conditions, and detecting subject location, pose and expression. Soft biometrics including scars, marks, and tattoos are also identified, cropped and classified.

The invention discloses a chromatic aberration calculation method and device and a storage medium, and belongs to the field of Internet. The method comprises the following steps: acquiring a to-be-recognized image; the to-be-recognized image comprises characters and a background; determining a brightness weight according to the character brightness of the character and the background brightness of the background; the brightness weight is used for representing the perception intensity of human eye vision on chromatic aberration under different brightness; and calculating the color difference between the character color of the character and the background color of the background according to the brightness weight. The method can calculate chromatic aberration based on perception of human eyes.

The invention belongs to the technical field of vehicle head-up display, and particularly relates to an HUD high-contrast display mode switching method, system and device for automatically detecting the environment state and a medium, and the method comprises the steps: obtaining a video image in front of a vehicle; calibrating an HUD virtual image display range in the video picture, and identifying background color information in the HUD virtual image display range in the video picture; and adjusting the overall color of the HUD virtual image display picture according to the background color information so as to switch the high-contrast display mode of the HUD according to the current environment state. According to the method, the display mode of the HUD can be adaptively adjusted according to the environment where the vehicle is located, the requirement of a user for observing HUD driving information in different scenes during driving is met under the condition that the cost of the whole vehicle is not additionally increased, the display attractiveness is guaranteed, the use complexity of the user is reduced, the driving safety is greatly improved, and the user experience is improved. And an intelligent vehicle use service is provided for the user.

The invention provides a method for extracting curve data from a curve graph at a web end, and relates to the technical field of curve data extraction. According to the method, the complex curves with various background colors, grids, large curve slope and multiple crossed curves can be reconstructed and sampled at a web end, and the coordinate information of the picture is acquired, so that the data of the multiple curves in the picture are extracted and applied respectively. Meanwhile, an advanced image preprocessing mechanism is introduced, and high-efficiency compression of image information and highlighting of key features are realized by performing graying and binarization operation on an input image. A unique gray conversion algorithm and a self-adaptive binarization strategy are adopted, parameters can be dynamically adjusted according to specific characteristics of an image, and irrelevant noise and interference elements are removed to the maximum extent while it is ensured that the core characteristics of a curve are reserved. The preprocessing method not only improves the efficiency of subsequent processing steps, but also lays a solid foundation for accurate curve recognition.

The invention discloses an industrial product color feature intelligent automatic extraction method based on machine learning, and the method comprises the steps: S1, carrying out the template matching and positioning, creating an effective Mask image, and filling an interference region; s11, constructing a multi-scale contour extractor by adopting morphology in combination with an edge detection algorithm, eliminating a pseudo edge caused by uneven illumination through corrosion expansion operation, and generating a target contour template for template matching positioning and adapting to positioning of materials with different colors; s12, after the target contour is positioned, calculating a color median of a target area, uniformly filling interference areas with black, and eliminating interference of background colors on color classification; s13, creating a Mask image, setting an interference area as 0, and setting other areas as effective target areas as 1; s14, interference of the background and the defect on color classification is eliminated, and subsequent feature extraction is made to aim at the effective target area; and S15, obtaining an original image, a Mask image and a filled image.

The embodiment of the invention relates to a page component processing method and device, equipment and a storage medium, and the method comprises the steps: after a playing operation for a first video is received, if the brightness change intensity indicated by the brightness information of the first video is determined to be greater than preset change intensity, according to the brightness value of each video frame in the first video, determining that the brightness change intensity is greater than the preset change intensity; and determining the background transparency value of the target page component on the corresponding video frame, and controlling the visual contrast between the target page component and the video frame. And displaying a target page component on a video picture of the video frame according to the background transparency value. According to the method and the device, the transparency value of the background color displayed on the video frame by the target page component can be determined according to the brightness value of the video frame of the video with relatively high brightness change intensity, so that the visual contrast of the target page component and the video picture is controlled; the information displayed on the target page component is efficiently transmitted to a user in a scene that the user plays a video.

The present invention discloses a system and method for extracting broken line / curve data based on image processing. Steps of the present invention: 1. Searching for the border of the curve / broken line graph; 2. Preprocessing the curve / broken line picture; 3. Searching for the digital contours of the coordinate axes; 4. Recognizing the numbers on the x and y coordinate axes; 5. Calculating the ratios of the x and y coordinate axes; 6. Searching for and obtaining the y values. The present invention can handle more special situations. The present invention can reconstruct and sample complex curve / broken line graphs with diverse background colors, grids, and large curve slopes, and obtain the coordinate information of the pictures, so as to realize the reuse of the data in the pictures. The present invention does not require input of parameters such as the coordinates of the origin, only the picture needs to be input, reducing manual operations, and compared with traditional methods, the present invention can handle more special situations.

Embodiments of the present description provide a matting parameter determining method, an image processing method, a device, and a storage medium. The method comprises: obtaining an image to be matted and value ranges of channels of background color of said image under a specified color model; and optimizing a pre-constructed objective optimization function on the basis of said image and the value ranges to obtain an optimized value of a matting parameter of said image, wherein the variable of the objective optimization function is the matting parameter, and the optimization objective of the objective optimization function comprises one or more of the following: minimizing the number of misclassified pixel points during classification of pixel points in said image into a foreground area and a background area based on the matting parameter, minimizing the number of pixel points belonging to a transition area between the foreground area and the background area in said image, and minimizing the accumulated value of the probabilities of the pixel points in the transition area. In this way, the matting parameter can be automatically and accurately determined.

The invention discloses a watermark embedding and extracting method and device, equipment, a storage medium and a product, and relates to the technical field of digital watermarking, and the watermark embedding method comprises the steps: generating a pure transparent mask template image of a carrier object to be embedded with a target watermark; embedding the target watermark into the pure transparent mask layer template image, and setting a filling color of the target watermark to obtain a completely non-transparent mask layer watermark; and adding the completely opaque mask watermark to the carrier object. The method can be suitable for carrier objects with different background colors, and the universality and flexibility of watermark embedding are improved.

The invention discloses a thermosensitive color-changing modifying pen and a color fixing device. The device comprises a modifying pen and a portable color fixing device. A main cavity and an auxiliary cavity which are separated by a partition plate are arranged in a penholder of the modifying pen and are respectively filled with thermosensitive covering ink and colorless fixation accelerant, and a fine fiber pen point and a metal needle tube pen point which are communicated with the penholder are arranged at two ends of the penholder. The portable color fixing device comprises a constant-temperature heating piece, a power supply unit and a control circuit, according to the principle that thermosensitive covering ink changes color under heating to be matched with the base color of the blueprint, fine smearing and controllable heat fixation technologies are combined, rapid, traceless and lossless modification of the engineering blueprint is achieved, and the problems that a traditional modification method is obvious in color difference, the blueprint is damaged, and operation is tedious are effectively solved. The device is easy and convenient to operate and firm in modification effect, and subsequent use of drawings is not affected.

To improve reliability of an appearance inspection.SOLUTION: An appearance inspection device receives image data representing an image of an inspection object captured by a camera and performs appearance inspection of the inspection object on the basis of the image data. In the appearance inspection, a first image, which is an image represented by the image data, or a second image, which is an image after image processing of the first image, is an image affected by one or more parameters affecting the image of the inspection object, the parameters being affected by a parameter group determined before the appearance inspection. In the first image or the second image, a color change amount in an edge range is smaller than a reference change amount. The edge range is a range having an edge vicinity including an edge of the inspection object, and is a range that is composed of a portion of the inspection object and a portion of a background of the inspection object using the edge of the inspection object. The color change amount in the edge range is a difference between a background color in the edge range and a color of a portion of the inspection object in the edge range.SELECTED DRAWING: Figure 2

A system for capturing, identifying, and processing images and soft biometrics includes an image capture device, a pan and tilt device, a speaker for audio feedback, and a microphone for voice capture, all controlled by a computing device. Image capture is enhanced by detecting image focus, facial recognition matching, detecting the number of subjects and unwanted objects, and checking the cropped image by detecting whether eyes and mouth are open or closed, detecting redeye, detecting background color, detecting lighting conditions, and detecting subject location, pose and expression. Soft biometrics including scars, marks, and tattoos are also identified, cropped and classified.

The embodiment of the invention provides an image processing method and device and a storage medium. The method comprises the following steps: acquiring a to-be-matted image; the distance between the color coordinate of each pixel point in the to-be-matted image and a predetermined hyperplane is determined, and the hyperplane is the classification boundary of the background color and the non-background color of the to-be-matted image; and determining the probability that each pixel point is the foreground region of the to-be-matted image based on the distance corresponding to each pixel point, and performing matting processing on the to-be-matted image based on the probability. According to the embodiment of the invention, the distribution range of the background color can be accurately defined by using a high-dimensional hyperplane, so that the matted foreground region and background region are more accurate, and the matted image with natural transition is obtained.

A screen reader application traverses each node in a document object model (DOM) for the text stylization. Properties for foreground color, background color, font type, font size and font stylization are algorithmically reduced to an identifier. Each node in the DOM with the same identifier has the same text stylization. Unique and infrequent text stylizations by a webpage author signal a point of interest. The screen reader application locates and navigates to that node in the DOM on behalf or in response to the end user. Points of interest are further identified by a number of additional factors. A first includes percentage of text of having the text stylization versus total text in the DOM. A second includes excluding candidate point of interest nodes having more than 250 characters. Others include imposing minimum font sizes and text contrast ratios to qualify as a point of interest.