232 results about "Color calibration" patented technology

The invention relates to the technical field of digital image processing and digital printing control, in particular to a digital printing color calibration method and system based on real-time image processing, and the method comprises the steps: constructing a fabric surface feature point coordinate set through a mixed feature tracking technology; calculating and predicting a target deformation field of the fabric at the printing position by applying a self-adaptive time domain prediction algorithm; and performing dynamic pixel interpolation on the original digital image by combining the target deformation field and the fabric texture feature map analyzed in real time to generate final printing image data. According to the invention, by combining high-robustness tracking, high-precision adaptive prediction and high-fidelity image generation technologies, the geometric precision and visual quality of printed products are significantly improved.

The invention relates to the technical field of LED display, and discloses an LED display color calibration method, device and system. The method comprises the following steps: applying a reverse test voltage to LED pixels in an LED display panel in a display frame blanking period, and calculating a real-time junction temperature value and a service life state value of each LED pixel; discrete phase coding reconstruction is carried out on the original display driving signal to obtain a temperature self-adaptive driving compensation signal; a temperature-sensitive fluorescent composite material layer is arranged on a substrate layer of an LED display panel, and the temperature-sensitive fluorescent composite material layer is activated through blue light components emitted by LED pixels to obtain an optical passive compensation spectrum; dividing the LED display panel into a plurality of independent control areas and generating an inter-area cooperative compensation parameter set; and constructing a pixel-level point diffusion compensation function and performing spatial domain dynamic compensation to obtain an LED display output image after color calibration. According to the invention, the problem of non-uniform area caused by manufacturing batch difference of a large-size display screen is effectively solved.

The invention discloses a beer sealing cover defect identification method based on image intelligent identification, and relates to the field of image identification, and the method comprises the steps: extracting the brightness distribution, color histogram and edge gradient features of a picture shot by a camera; constructing a precise light type calculation model, and dynamically adjusting brightness transition curves of adjacent partitions; identifying a high-contrast edge in the picture, and dynamically adjusting a brightness decay curve of adjacent partitions according to an edge brightness difference; color calibration is carried out through a three-dimensional color lookup table; and performing defect identification on an actual sealing cover image by using a dual mechanism. The light rays of the light source emitter are regulated and controlled, so that under the contrast condition, a machine and human eyes are easy to identify, the halo diffusion radius is reduced, and color calibration is carried out through the three-dimensional color lookup table, so that the machine and the human eyes are prevented from being influenced by images during identification, and the overall identification accuracy is ensured.

The invention provides a multi-scale pyramid weighted fusion underwater image enhancement method based on double prior, and the method comprises the steps: obtaining a degraded underwater image, and carrying out the global and local cooperation body color calibration of the degraded underwater image; decomposing the color correction image into a base layer, a detail layer and a noise layer by adopting a variational decomposition algorithm; performing spectral prior and transmissivity loss constraint on the base layer image to obtain a defogged image; fusing the detail layer image and the noise layer image to obtain a filtered image; performing enhancement processing on the filtered image by adopting a nonlinear mapping and contrast enhancement strategy to obtain an enhanced image; performing multi-level feature integration and reconstruction on the defogged image and the enhanced image by adopting a multi-scale pyramid adaptive weighted fusion method to obtain an underwater image with natural color and high visual definition; according to the method, the traditional image processing and variational optimization thought is combined to effectively correct the color deviation of the degraded underwater image, the image contrast and the detail definition are improved, and the visualization effect of the underwater image is improved.

The invention discloses a target tracking method and device based on a rolling and pitching type holder, and the method comprises the steps: building a polynomial response model through adaptive color calibration, and achieving the dynamic color correction; an improved YOLOv8 model is combined with a bidirectional feature pyramid network to carry out multi-scale target detection, and template matching is assisted to improve a low-confidence-coefficient scene recognition rate; predicting the position and the speed of the target by using Kalman filtering to cope with a shielding condition; and high-precision smooth rotation of the holder is realized through quaternion attitude solution in combination with PID (Proportion Integration Differentiation) and FOC (Fiber Operating Control) double-loop cooperative control. The device adopts a rolling and pitching type holder structure and comprises a main controller, an angle sensor, a visual sensor and a magnetic encoder, the mechanical structure is simplified, the weight is reduced, and higher response speed and higher control precision are achieved. The target tracking accuracy, stability and anti-interference capability of the intelligent mobile platform in a complex environment are remarkably improved, and the method is suitable for various dynamic scenes such as aerial photography and industrial inspection.

The invention provides a color calibration processing method and electronic equipment. The method comprises the following steps: acquiring primary color information of light-emitting equipment; determining the theoretical brightness of each channel corresponding to the target color; determining the current duty ratio of each channel under the current junction temperature according to the current junction temperature, the reference junction temperature brightness of each channel and the theoretical brightness of each channel corresponding to the target color, and obtaining a color mixing output result; determining new reference junction temperature brightness of each channel and junction temperature offset of each channel; obtaining a new maximum brightness and a new current duty ratio of each channel under the current junction temperature, and lightening the light-emitting device again based on each new current duty ratio to obtain a new color mixing output result; and if the new color mixing output result meets the preset error range, taking the junction temperature offset of each channel as the calibration junction temperature offset of each channel of the light-emitting equipment, and taking the new reference junction temperature brightness of each channel as the calibration reference junction temperature brightness of each channel. And the color mixing precision of the light-emitting equipment in the whole working temperature range is improved.

The invention provides a digital pathological section color calibration method and device, and the method comprises the following steps: obtaining a standard color image and an image to be subjected to color correction, and extracting the feature points of the standard color image and the feature points of the image to be subjected to color correction, matching the standard color image and the image to be subjected to color correction based on the feature points to obtain a standard color matching image and a matching image to be subjected to color correction; performing histogram color correction on the matching image to be subjected to color correction by taking a standard color matching image as a reference to obtain a first color correction image, and performing CCM color correction on the first color correction image by taking the standard color matching image as the reference to obtain a second color correction image, and performing gamma correction on the color of the second color correction image by taking a standard color matching image as a reference to obtain a color correction completed image. According to the scheme, all pixel information of the target image is fully utilized, the color correction process is quantified to eliminate artificial errors, and the efficiency and accuracy of color correction of the digital pathological image can be remarkably improved.

The invention relates to the field of digital printing equipment, and discloses a multi-modal data fusion digital printing equipment color dynamic calibration system which comprises a data acquisition and preprocessing module, a tensor modeling and optimization module, a causal reasoning module, a feedback control module, a cross-equipment mapping module and a self-diagnosis module. The method comprises the following steps that multi-modal data of equipment and environment are collected in real time, intelligent analysis is carried out, and control parameters are dynamically adjusted, so that the problem that a traditional color management method lacks real-time feedback and dynamic adaptive capacity is solved, and the stability and accuracy of the color calibration process are ensured. According to the method, color, image, environment and equipment operation data are collected, a multi-modal tensor is constructed, sparse feature compression is carried out, color deviation reasoning and adjustment quantity generation are realized in combination with causal structure learning, and a self-diagnosis mechanism and closed-loop control are assisted, so that real-time monitoring of the equipment operation state and dynamic adjustment of the color state are realized.

The invention discloses a soil color exploration and identification system and method, belongs to the technical field of soil color identification, can effectively reduce the influence of ambient light on soil color discrimination through a standardized color correction board and software image processing, and performs hierarchical division on a soil color identification image along a vertical plane, thereby improving the accuracy of soil color identification. Pixel point color information of a plurality of independent soil layers is obtained, so that the color distribution uniformity of a single layer is judged, then the color distribution condition of the whole image is comprehensively analyzed to divide soil types, and different color recognition modes are selected according to the judged soil types to be compared with a colorimetric card digital image. Compared with a mode of directly extracting color information of an overall image and comparing a colorimetric card, hierarchical division is adopted, single-to-overall soil type judgment is carried out, and a proper recognition mode is selected according to a judgment result, so that the color recognition accuracy is effectively improved.

The application provides a method for camera color calibration applied to an electronic device, the electronic device comprising a camera array (including a first camera) and a high-resolution multispectral camera, the method comprising: synchronously collecting original images of a first scene by the first camera and the high-resolution multispectral camera, wherein the first camera collects a three-channel image (a first image), and the high-resolution multispectral camera synchronously collects an M-channel image (a second image), M being a positive integer greater than or equal to 3; converting the second image from the M-channel image to a three-channel image by a first conversion function; taking the converted three-channel image as a reference to perform color calibration on the first image to obtain first color parameters for color adjustment of the first camera. In the method, the color of the array camera is aligned with the color perceived by the high-resolution multispectral camera, and the authenticity and consistency of the color of the image captured by the camera in the camera array can be improved.

The present invention relates to a circuit for multi-color LED mixed color balance calibration, the circuit comprising: an LED loop comprising one or more LED channels of different colors, each of the one or more LED channels of different colors comprising one or more LEDs of the same color and an LED switch; an LED junction point configured to be connected to one or more LED channels of different colors; a divider resistor configured to be connected between the LED junction point and the color calibration switch; a color calibration switch configured to enable or inhibit color calibration based on the received color calibration enable signal; and a microprocessor configured to generate a color calibration enable signal, measure a first voltage when each of the one or more LED channels of different colors at the LED junction is individually turned on based on the generated color calibration enable signal, and adjust a mixed color output by the LED loop based on the measured first voltage.

Systems and methods for color correction of images are described herein. An example method includes receiving, at a first time and a second time: first and second image data from an imaging device of a medical imaging system captured during a medical procedure; and first and second values of an operating parameter of a light source of the medical imaging system, wherein a color of light emitted from the light source is shifted based on the values of the operating parameter. A first color shift is determined based on the first value, and a color correction function is applied to the first image data to compensate for the first color shift to generate first color corrected image data. Second color-corrected image data is generated by determining a second color shift based on the second value and applying a color correction function to the second image data to compensate for the second color shift.

The invention discloses a color register calibration method, a printing device, electronic equipment and a storage medium, and relates to the technical field of ink-jet printing.The color register calibration method comprises the steps that a printing file of a preset target printing image is obtained, and the target printing image comprises a target printing image obtaining area and a calibration sample page area; in the process of controlling the spray head module to perform image line-by-line printing on the printing paper in a second direction according to the printing file, obtaining an actual calibration identifier in a calibration sample page area corresponding to a target line through a visual identification module; determining an offset according to the actual calibration identifier, a preset reference initial point and a preset calibration identifier; according to the method and the device, the offset of the ink marks on the sample page is obtained by automatically identifying and calibrating the sample page area, and then the nozzle module is automatically and correspondingly adjusted, so that the automation of color register calibration is realized, the labor cost is saved, and the color register efficiency is improved.

A wound assessment method is provided. The wound assessment method includes receiving an image that includes an L-shaped color calibration card and a wound; performing an image preprocessing on the image, based on the L-shaped color calibration card, to obtain an adjusted image, where the image preprocessing includes a distortion correction and a color calibration; obtaining a wound image excluding the L-shaped color calibration card, based on the adjusted image, where the wound image includes a plurality of regions; and classifying each of the plurality of regions of the wound image into one of wound tissue types, to obtain a wound tissue type distribution of the wound, where the wound tissue types include a granulation tissue, a slough tissue, and an eschar tissue.

The invention relates to the technical field of image processing, in particular to a medical image display system based on color calibration, and the system comprises a calibration tensor generation module which generates a three-dimensional calibration input tensor; the closed-loop feedback calibration module is used for inputting the three-dimensional calibration input tensor into a pre-trained multi-modal adversarial compensation network and generating a pixel-level aging-environment coupling compensation coefficient matrix and a color gamut anchor point coordinate; and the compensation execution module is used for writing the compensated quantized color instruction set into a redundant driving unit of the display panel to realize cooperative offset of equipment aging and environmental interference. According to the method, the color rendition error in the high-resolution medical image can be effectively reduced, the color stability is improved, and the method is suitable for real reproduction of high-precision diagnosis scenes such as endoscope and CT pseudo-color images.

The application discloses a kind of based on multiple exposure generation fusion's low-light image enhancement system, belong to low-light image enhancement technical field.System includes: adaptive multiple exposure adjustment module (AMEA), joint prediction gamma coefficient, linear modulation factor and compensation parameter, to input low-light image carries out nonlinear and linear combination transformation, generates multiple luminance, contrast and different color response multiple exposure candidate image;Multiple exposure fusion module (MEF), original low-light image and candidate image channel splicing are carried out, and preliminary enhancement image is obtained by fine-grained weighting fusion of channel fusion coefficient and introduction of perception compensation parameter correction;Color refinement module (CRM), using encoder decoder structure and introducing fast fourier representation in bottleneck layer, realize spatial domain and frequency domain joint modeling, carry out global color calibration and local detail optimization to preliminary enhancement image.The overall network uses lightweight design such as depth separable convolution and dense connection, inference is simple, and can be run in real time in edge device.The application generates by adaptive multiple exposure, structure constraint fusion and frequency domain refinement, effectively restores dark texture, suppresses over-enhancement and color deviation, improves visual naturalness and robustness in complex low-light scene.

The invention provides an unsafe behavior early warning method and system based on big data mining. The method comprises the following steps: performing color calibration and track extraction on a historical working image to obtain a track image; inputting the track image into a neural network for training to obtain an unsafe event early warning model; inputting a currently collected activity image of the to-be-monitored person into the unsafe event early warning model for identification to obtain an activity state of the to-be-monitored person; and sending out a corresponding alarm signal according to the activity state of the to-be-monitored person. According to the method, the training samples are obtained by sequentially performing color calibration and trajectory extraction on the historical working images, and the training samples are input into the neural network for training to obtain the unsafe event early warning model, so that the activity state of each to-be-monitored person can be accurately identified by using the model; and when the activity state of the to-be-monitored personnel is abnormal, an alarm is given, so that the safety of each to-be-monitored personnel can be ensured in real time, and the supervision effect is improved.

The utility model provides a color calibration device which comprises a cover body assembly and a color correction assembly, the cover body assembly comprises a lower cover and a first magnetic attraction piece, and the first magnetic attraction piece is fixed on the lower cover; the color correction assembly comprises an upper shell, an optical module and a second magnetic attraction part, the optical module is fixed to the upper shell and exposed out of the surface, facing the lower cover, of the upper shell, and the second magnetic attraction part is fixed to the upper shell and used for being in magnetic attraction with the first magnetic attraction part, so that the lower cover detachably covers the optical module. According to the color calibration device, the lower cover with the first magnetic attraction piece and the upper shell with the second magnetic attraction piece are adopted, and the lower cover and the upper shell are matched and magnetically attracted with each other, so that the color calibration device is good in fixing effect, free of abrasion during separation, long in service life and good in use experience.

A printing device includes a printing engine, a storage unit, and a controller. The printing engine prints on a printing medium. The storage unit stores an overall patch image including patches for color calibration for printing an image based on image data. The patches include basic patches corresponding to predetermined colors. The overall patch image has a first patch area in which the basic patches are arranged and a second patch area different from the first patch area. The controller performs: generating a specified patch that is a patch for a color specified by a user in a preview image corresponding to the image; and printing the overall patch image using the printing engine. In a case where the specified patch is generated, in the printing the generated specified patch is printed in the first patch area and one of the basic patches is printed in the second patch area.

The invention relates to the technical field of color calibration compensation, in particular to an RGB color calibration compensation method and device suitable for an automobile atmosphere lamp, and the method comprises the steps: collecting a music signal and a PWM signal of each channel of an RGB atmosphere lamp; according to beat beating characteristics and low-light saliency of the atmosphere lamp in the vehicle, calculating beating beat unbalance degree, and further combining the energy attenuation rate of each RGB channel to calculate a compensation factor of each RGB channel; and the PWM duty ratio is compensated by using the compensation factor so as to control the average voltage of each RGB channel, and RGB color calibration compensation of the automobile atmosphere lamp is realized. The invention aims to compensate the average voltage of the automobile atmosphere lamp in each RGB channel so as to realize RGB color calibration compensation of the automobile atmosphere lamp.

This invention relates to the field of electronic display technology, and more particularly to an online self-calibration system for the brightness and color of display backlight zones based on optical feedback. The system includes an acquisition module, a judgment module, a light and color calibration module, a determination module, a control calibration module, a prompting module, and an adjustment module. This invention acquires multi-dimensional parameters, synthesizes dynamic interference intensity based on tilt angle, spot illuminance, and infrared transmittance, and compares it with a preset threshold to determine the presence of interference. When interference is detected, the system compensates for the measured brightness and color temperature using the dynamic interference intensity and infrared transmittance, outputting a calibration value reflecting the true light-emitting state of the backlight. It adjusts the backlight drive current and PWM duty cycle through a collaborative calibration factor. Simultaneously, when performance degradation reaches a preset condition, a prompt is issued and the interference threshold is dynamically adjusted. This effectively solves the problems of low calibration accuracy and poor cross-screen consistency caused by the inability to distinguish between environmental interference and backlight aging, and the lack of multi-screen collaboration.

In a method for carrying out a colour calibration of an interior camera (102) of a vehicle (104), at least one image is captured by the interior camera (102). The image comprises a representation of at least one reference element (108, 110, 112) arranged in the vehicle interior (106). The reference element (108, 110, 112) actively emits light of a known colour or is illuminated with light of a known colour by at least one light source (114) arranged in the vehicle interior (106). Image data corresponding to the image are generated by the interior camera (102). The image data are received and processed by a processing unit (124) in order to determine colour information relating to the reference element (108, 110, 112). Furthermore, a colour calibration of the interior camera (102) is carried out by a processing unit (124) taking into account the known colour and the determined colour information.

The invention relates to the technical field of stoma skin analysis, and discloses a stoma surrounding skin analysis method and system based on image processing, and the method comprises the steps: firstly obtaining an original image containing a stoma, surrounding skin and a part of a stoma bag chassis, and carrying out the preprocessing; then, accurately separating skin and chassis areas through multi-target semantic segmentation; then, the chassis is used as an opportunity reference object, and color calibration is carried out on the image by comparing the actual observation color with the standard color, so that the difference between illumination and equipment is eliminated; and finally, quantized color and texture features are extracted from the calibrated skin area to form a feature vector, and skin state analysis is performed according to the feature vector to generate a report. Therefore, an additional color card is not needed, color calibration is carried out by utilizing inherent elements in the image, the problem of color consistency of image analysis in a home environment is effectively solved, and automatic, objective and standardized evaluation of the state of the skin around the stoma is realized.

The invention discloses a portable three-dimensional reconstruction modeling instrument for fruit appearance phenotypic characters of fruit and vegetable crops. Comprising a fruit appearance phenotypic character shooting sensor support, a fruit overhanging type fixing device, a multi-head sensor module, a model geometry and color calibration device, an instrument shooting data storage module and a fruit appearance phenotypic character three-dimensional reconstruction modeling instrument control module. According to the invention, by designing a fruit omnibearing video shooting platform and a multi-head sensor group, a portable fruit and vegetable crop fruit appearance phenotypic character three-dimensional reconstruction modeling instrument is constructed; a modeling target is fixed in a suspension mode, and shooting parameters of a sensor group and the rotating speed of a sensor support can be controlled, so that fruit appearance omnibearing images are quickly and efficiently acquired, image transmission, modeling, storage and data output are realized, and the method is used for subsequent fruit appearance three-dimensional true color reconstruction modeling. And model geometry and color feature measurement is supported.

The invention discloses a color calibration method and device, projection equipment and a storage medium, and relates to the technical field of projection. The method comprises the following steps: carrying out white balance calibration under a target color gamut on projection equipment; the calibrated projection equipment sequentially projects a single-color picture of each color in the six original colors; obtaining the current color coordinates of the projected monochromatic pictures of each color in sequence through a color corrector; adjusting the color adjustment parameter corresponding to each color in the projection equipment until the current color coordinate of the monochromatic picture of each color projected again after the parameter adjustment is detected is matched with the standard color coordinate of the monochromatic picture of each color in the target color gamut, and obtaining the standard color adjustment parameter of each color in the projection equipment. Therefore, the projection equipment after white balance calibration can perform color calibration on the to-be-projected picture by using the standard color adjustment parameter corresponding to each color in the six original colors and then output the to-be-projected picture, so that the color accuracy of the projected picture is improved.

The invention is suitable for the technical field of display, and provides a display device and a control method of the display device, and the method comprises the steps: receiving a video signal from a streaming media device, and carrying out the analysis of the video signal, and obtaining a video frame sequence corresponding to the video signal; under the condition that any video frame in the video frame sequence has color correction guide information, forbidding a first image processing function, the first image processing function comprising an image processing function for automatically adjusting corresponding parameters of the dynamic picture; performing image processing on video frames in the video frame sequence according to the current image processing function to obtain a processed video frame sequence; and driving the display to display the processed video frame sequence, so that the color calibration device performs color calibration on the display, and after the calibration is completed, sending color calibration data to the streaming media device, so that the streaming media device calibrates the video signal to be sent to the controller according to the color calibration data. According to the invention, the accuracy of color calibration can be improved.

An intelligent perception system measurement test method based on image color calibration, the method is used for color defect parameter acquisition of the camera, and is used for intelligent perception test data set calibration, and the intelligent model is tested by using the calibrated data set. The method can apply the color parameters of the camera to the data through a quadratic function, obtain a test data set containing related hardware parameters, make the test of the intelligent model more close to the actual performance of the future algorithm, effectively improve the accuracy of the test result, and by comparing the test results before and after calibration, whether the current camera meets the task requirements can be effectively determined.

The application discloses a kind of deep water measurement method and system based on binocular ranging, method includes the following steps: S1, in air or ideal environment, the color calibration board image of known RGB value is collected by binocular camera, as color reference image;S2, color calibration board is placed at underwater target scene, and the first underwater image of color calibration board is collected by RGBW light supplement lamp cooperates binocular camera;S3, contrast first underwater image and color reference image, calculate the high intensity configuration parameter of RGBW light supplement lamp;S4, RGBW light supplement lamp is adjusted to high intensity configuration parameter, cooperates binocular camera and collects underwater target scene image and the second underwater image of color calibration board;S5, underwater target scene image is preprocessed, and underwater target scene actual image is obtained.The application solves the problem that the measurement accuracy is not enough in the application of existing measurement technology under deep water condition, and can realize the efficient operation of accurate identification and reliable analysis of underwater target.

The invention provides an interactive text image vectorization method and device, and relates to the field of image processing. The method comprises the following steps: acquiring a text travel image, and preprocessing the text travel image to obtain a preprocessed image; segmenting the preprocessed image to obtain a segmented image; performing edge extraction operation and fitting operation on the segmented image to obtain image edge features; performing color attribute distribution operation based on the image edge features to obtain a color calibration image; and performing semantic coding operation based on the color calibration image to obtain a vector diagram corresponding to the text travel image. According to the method and the device, the problem that the effect of the obtained vector diagram is greatly reduced because vectorization of the whole image is directly carried out on the image with a non-ideal effect is solved.

The invention discloses a field geological specimen rapid classification and knowledge pushing system based on image recognition, and relates to the technical field of image recognition processing, and the system comprises a specimen image collection and preprocessing module which collects geological specimen images, and carries out the noise reduction, color calibration, specimen region segmentation and feature enhancement processing of the images; the deep learning classification model module is used for identifying specimen types and specific categories based on a convolutional neural network according to the geological specimen images; the knowledge base construction and knowledge pushing module is used for constructing an associated knowledge base, pushing personalized knowledge based on a deep learning classification result and a user identity, and supporting field instant lookup; the data management and synchronization module is used for recording specimen classification results, collecting information and realizing local and cloud data synchronization; and the man-machine interaction module provides a simple operation interface and adapts to field operation requirements. The problem of low classification accuracy in the prior art is solved, and the field environment adaptability and the knowledge pushing instantaneity are improved.