401 results about "Background color" patented technology

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.

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 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.

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 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 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 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.

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.

The invention discloses a text processing method, device and equipment. The method comprises the steps of reading a to-be-displayed text color of a target text in configuration information; obtaining a background color of a background to which the target text belongs; the background color is a rendering color of a three-dimensional background model to which the target text belongs; determining a color difference value between the text color and the background color; under the condition that the color difference value is smaller than or equal to a color difference threshold value, the text color of the target text is adjusted, so that the color difference value between the adjusted target text color and the background color is larger than the color difference threshold value; displaying the target text and the background to which the target text belongs; the display color of the target text is the adjusted target text color. According to the scheme, for a three-dimensional background, text color adjustment can be achieved, and the display effect and readability are improved.

The invention discloses a river bank vegetation ecological health dynamic evaluation system and method, and relates to the technical field of river bank vegetation ecological health, and the method specifically comprises the following steps: judging whether each image unit grid has a condition that a shrub color is close to a background color according to color features and texture features; marking the image unit grid with the condition as a to-be-identified area; boundary identification feature information of each to-be-identified area is extracted, analysis is carried out after extraction, the boundary identification fuzzy degree of each to-be-identified area under the condition that the shrub color is close to the background color is evaluated, and classification is carried out according to an evaluation result; and according to a classification result, selecting corresponding shrub vegetation spatial distribution area extraction modes for different types of to-be-identified areas so as to extract shrub spatial distribution areas in the to-be-identified areas. According to the method, the problem that the shrub boundary is fuzzy and difficult to identify is solved, and accurate extraction of shrub space distribution and accurate evaluation of the ecological state under the complex background are realized.

A translation analysis support device is provided that reduces the workload of patent applicants or patent attorneys and supports quick and accurate examination responses. [Solution] The patent examination-related document translation and analysis support device translates, reverse-translates, and extracts difference information for patent rejection notices and cited documents written in a foreign language, enabling visualization of consistency and report output. Documents are input in PDF format or other formats, and are translated into the applicant's native language using the DeepL translation API, followed by reverse translation to extract difference information. The difference information results are visualized using background colors, enabling applicants or patent attorneys to respond quickly and accurately to multilingual notices and documents.

This invention provides a high-throughput quantitative analysis method and apparatus for biomedical cell and histological staining images. The method includes: image preprocessing, identification of tissue / cell regions, identification of stained regions, and calculation of pixel values ​​of the identified regions to output corresponding quantitative values. This invention can meet the needs of high-throughput, batch processing and analysis of stained image results. It can flexibly adjust the image recognition threshold and selection range through various parameters based on differences in staining background color effects and different background colors generated during image acquisition from different batches of experimental samples, to achieve optimal batch recognition results. Furthermore, this invention can effectively identify and ignore background noise in the image, such as specks similar in color to the target analyte. This invention can automatically process large batches of sample images, saving time and effort, and has greater flexibility in parameter adjustment, generating the required quantitative results based on parameter adjustments.

The present invention discloses a method for real-time global illumination rendering of a virtual cable tunnel scene model, comprising the following steps: using a computer to load panoramic image data and a three-dimensional scene model of the cable tunnel scene; calculating the position and radiation intensity of a light source in the three-dimensional scene model by using the panoramic image data, and thus obtaining the material properties of the three-dimensional scene model; reading in the triangular patches of the three-dimensional scene model; tracing the light rays emitted from the viewpoint to the screen pixels, and determining whether the light rays intersect with the triangular patches. If they intersect, the color value of the intersection point is calculated as the color value of the screen pixel according to the material properties of the intersection point. If they do not intersect, the background color is filled into the screen pixel, thereby completing the real-time global illumination rendering of the screen image to obtain a realistic screen image. It can realize the real-time global illumination rendering of the three-dimensional scene model of the virtual cable tunnel, effectively improve the efficiency of the global illumination rendering algorithm, and reduce the time cost.

The present invention discloses a method for measuring the motion characteristics of the moving contact of a circuit breaker based on deep learning, and the specific steps are as follows: Step S1: Set auxiliary markers and collect a high-speed image sequence; Step S2: Input the high-speed image sequence into a trained deep learning model to track the motion trajectory of the auxiliary markers; Step S3: Calculate the stroke-time curve of the moving contact of the circuit breaker according to the trajectory of the auxiliary markers. By adopting the above method for measuring the motion characteristics of the moving contact of a circuit breaker based on deep learning, non-contact measurement is used, and the motion characteristics of the moving contact of the circuit breaker are measured by tracking the components that move synchronously with the moving contact of the circuit breaker, and the problems of target size change, background color interference, and camera jitter can be effectively addressed to achieve accurate tracking.

1. Name of the product in this design: Bottle Label (Lianqin Pearl Mouthwash). 2. Purpose of this design: For use as a label on bottles. 3. The key design features of this product are the combination of shape and pattern. 4. The image or photograph that best illustrates the design highlights: Component 1 main view. 5. This design is a two-dimensional product, so the rear view of component 1 is omitted; this design is a two-dimensional product, so the left view of component 1 is omitted; this design is a two-dimensional product, so the right view of component 1 is omitted; this design is a two-dimensional product, so the top view of component 1 is omitted; this design is a two-dimensional product, so the bottom view of component 1 is omitted; this design is a two-dimensional product, so the bottom view of component 2 is omitted; this design is a two-dimensional product, so the rear view of component 2 is omitted; this design is a two-dimensional product, so the left view of component 2 is omitted; this design is a two-dimensional product, so the right view of component 2 is omitted; this design is a two-dimensional product, so the top view of component 2 is omitted. 6. Other situations requiring explanation: The light gray area outside the images of the main view of component 1 and the main view of component 2 is the background color and is not part of this product appearance; the dark gray frame inside the image of the main view of component 2 is a QR code, barcode, traceability code, or other identification code.

An image processor includes circuitry configured to obtain a scanned image from a scanner; detect a missing area of the document in the scanned image; determine a background color of the document in the scanned image; and determine whether to use the background color of the document as an interpolation color for interpolating the missing area of the document in the scanned image.

1. Name of the Design Product: Graphical User Interface for AI-Generated Character Word Sound Sources of Electronic Devices. 2. Use of the Design Product: The design product is used for an electronic device. 3. Design Key Points of the Design Product: Lies in the graphical user interface. 4. Picture or Photo Best Illustrating the Design Key Points: Variation State Diagram 1. 5. Use of the Graphical User Interface: Realize the function of AI-generated video character word sound sources and switch album characters through changes in user operations. 6. Other Situations Requiring Explanation: As shown in the main view, enter text in the input box. As shown in Variation State Diagram 1, click the "Generate" button, and corresponding voice sentences are generated according to the characteristics of the current character displayed on the left side of the input box. The generated voice sentences are displayed in the AI generation list, and the corresponding lines above are distinguished by the background color. As shown in Variation State Diagram 2, click the character switch button on the left side of the input box to evoke a floating layer. As shown in Variation State Diagram 3, support switching albums and characters within the album; The usage state reference diagrams are the effect diagrams showing this user interface, and the main view, Variation State Diagrams 1-3 correspond to Usage State Reference Diagrams 1-4 respectively.

The present application discloses a method for expressing selected information, a prefabricated printing medium, a printing device, a label, and an identification device. The method for expressing selected information includes performing monochrome printing on the prefabricated printing medium so that the printed color covers other color areas outside the selected color area; the prefabricated printing medium is provided with at least two color areas for expressing identification information; the color of each color area is different from the surrounding background color, and the colors of the color areas are different from each other; the prefabricated printing medium is a printing medium for implementing the method for expressing selected information, the printing device is used to implement the method for expressing selected information, the label is a product obtained by the method for expressing selected information, and the identification device is used to identify the selected information on the label. The above technical solution can express the selected identification information at a low cost for the human eye to quickly capture, recognize, and remember, while also facilitating machine recognition and reducing the error rate of machine recognition.

To provide an image processing apparatus that can reduce the load on processing on scanned data required for discriminating a background color, even if the scanned data is obtained by scanning a document in which whether a background color is the same is unknown.SOLUTION: An image processing apparatus according to an aspect of the present disclosure comprises a first discrimination unit, a second discrimination unit, and a background color determination unit. The first discrimination unit discriminates a background color for a discrimination target page of scanned data obtained by converting a plurality of scanned pages into the JPEG format, by using a DC component and without using an AC component, and the second discrimination unit discriminates the background color for the discrimination target page, by using the DC component and the AC component. The background color determination unit, for a predetermined page of the scanned data, when a first background color that is a discrimination result from the first discrimination unit is not similar to a second background color determined for the previous page of the predetermined page, causes the second discrimination unit to execute discrimination, and determines the result of the discrimination as the background color of the predetermined page. When the first background color and the second background color are similar to each other, the background determination unit does not cause the second discrimination unit to execute discrimination and determines the second background color as the background color of the predetermined page.SELECTED DRAWING: Figure 1

The invention provides an interface color adjusting method and device and electronic equipment. Text information of a text contained in a target interface is recognized, and the text information comprises a text color and a text background color; determining a contrast ratio between a text color and a text background color of the text based on the text information corresponding to the text; and for the target text of which the contrast does not meet the preset condition, adjusting the initial text color corresponding to the target text to obtain a target text color of which the contrast with the text background color corresponding to the target text meets the preset condition, and displaying a color value of a text recommendation color corresponding to the target text determined based on the target text color. According to the mode, the target text of which the contrast between the text color and the text background color does not meet the preset condition in the target interface can be automatically determined, and the recommendation color of which the contrast meets the preset condition corresponding to the target text is recommended, so that a user adjusts the text color of the target text based on the recommendation color; and a closed loop of automatic contrast detection and color restoration is realized.

This application provides an image data processing method, an electronic device, and a computer storage medium. The image data processing method includes: obtaining an image to be processed in a preset color space, wherein the preset color space is a color space that reflects the hue of the image to be processed; determining multiple color components corresponding to the background reference color system of the image to be processed, and obtaining at least a portion of individual color components among the multiple color components; obtaining a color range corresponding to each individual color component based on the pixel number distribution of the individual color components; and obtaining a background color range of the image to be processed based on the color range corresponding to each individual color component. This application embodiment makes the determined background color range more accurate.

1. Name of the product in this design: Graphical User Interface for Drug Traceability Management of Electronic Equipment. 2. Purpose of this design: An electronic device. 3. The key design features of this product are its graphical user interface content. 4. Images or photos that best illustrate the design points: Interface change state diagram 3. 5. Purpose of the graphical user interface: Click "Swipe Card to Login" on the main view interface to switch to the interface change state diagram 1, and click "CA Authentication Login" in the upper right corner to switch to the interface change state diagram 2. Choose any login method from the above interfaces to switch to interface state diagram 3. Click the image and list switching icon to switch to interface state diagram 4. The background color of the medicine in Interface Change State Diagram 3 and Interface Change State Diagram 4 depends on the medicine collection results identified by the system. When all medicines are collected, the background color is green, and when medicines are missing, it is orange. If an error occurs during drug collection, switch to the interface change state shown in Figure 5. Clicking "Return Drug Collection" will switch to the interface change state diagram 6. The change of drug status in the interface change state diagram depends on the drug recognition result. The default is normal, and the status changes to returned when the collection information is recognized. Click "Record Query" to switch to the interface change state shown in Figure 7. Clicking "Disassemble Medicines" will switch to the interface change state shown in Figure 8. Clicking the "Register" button in interface state diagram 8 will switch to interface state diagram 9, and if the drug information is recognized, it will switch to interface state diagram 10. When the user clicks the minimize button in the upper right corner, the interface changes as shown in Figure 11.