436 results about "Color chart" patented technology

The invention relates to the technical field of medical cosmetology and computer vision, in particular to a 3D skin measurement method based on high-precision measurement of a face concave-convex degree region, and the method comprises the following steps: arranging a structured light camera to collect a face RGB image and depth data, and carrying out the filtering and denoising to generate a smooth point cloud; detecting an RGB image based on FaceMesh to obtain face key points, and constructing a multi-region segmentation algorithm; segmenting an RGB local area and converting the RGB local area into point cloud data; iDW interpolation is carried out to generate a dense point cloud, and a two-dimensional contour line is extracted through a Marking Square algorithm; and mapping the color of the matched color card to an image area to generate a contour map. According to the method, the face recognition model is constructed through the FaceMesh architecture, accurate positioning of multiple face types is adapted, two-dimensional contour mapping is adopted to three-dimensional contour mapping, data are intercepted, local processing is combined, the operation load is reduced by 60%, and efficiency is remarkably improved.

The invention provides an image color correction method and device, a color correction robot and a storage medium, and the method comprises the steps: obtaining a to-be-processed image, extracting the color value of each pixel point in a plurality of color blocks in the to-be-processed image, and obtaining a color value list; setting a weight coefficient for each color value in the color value list; fitting a polynomial regression model by using the color value list with the weight coefficient to obtain a fitted polynomial regression model; generating a color conversion matrix by using the fitted polynomial regression model, wherein the color conversion matrix is used for representing a mapping relation between a color value in the to-be-processed image and a standard color value in the colorimetric card; and correcting the color values of the pixel points in the to-be-processed image by using the color conversion matrix to obtain a corrected image. According to the embodiment, the color accuracy of the image is improved, the reliability and authenticity of image information are ensured, and therefore reliable data support is provided for subsequent intelligent analysis and auxiliary diagnosis.

The invention relates to the technical field of computer vision, and discloses a vehicle paint make-up color matching method based on computer vision, and the method comprises the steps: collecting a vehicle paint image in real time through an industrial camera, constructing a multi-dimensional color feature extraction system after preprocessing, and building a color feature database through a color space conversion technology; and positioning a target color card by combining a feature matching algorithm. Meanwhile, a historical paint make-up case information base is constructed, a multi-factor weight distribution model is established, an optimal matching scheme is solved by adopting an improved particle swarm optimization algorithm, and finally a result is output through an interactive verification platform and tracked and fed back. According to the method, multiple factors are comprehensively considered, the precision and efficiency of color matching are improved, and the method is suitable for paint make-up color matching of vehicles of different vehicle types, years and paint surface types and has high practicability and popularization value.

The invention discloses a method for dynamically monitoring the drying quality of fruits and vegetables by fusing chromatic aberration-shrinkage rate analysis. The method comprises the following steps: placing a fruit and vegetable sample on a rotatable objective table, drying according to a preset program, and carrying out multi-angle shooting by using a digital camera according to a timestamp to obtain an RGB color image; the method comprises the following steps: preprocessing by an image analysis system, converting an image into a Lab chromaticity space, calculating a chromatic aberration value delta E and a comprehensive shrinkage rate S, integrating data to generate a change curve, and constructing an appearance form model. In actual drying, real-time data and the model are compared, and early warning is carried out when the color difference value exceeds 3.5 or the shrinkage rate deviation exceeds 15% and image acquisition is abnormal. The drying equipment is provided with a high-precision electric rotary objective table, a specific annular light source array, a high-resolution camera and a standard calibration color card, and illumination and color measurement accuracy is ensured through calibration. Through multi-step operation, accurate and dynamic monitoring of fruit and vegetable drying quality is achieved, and drying process optimization is assisted.

The invention discloses a method and device for detecting color reducibility of a mobile phone camera and a medium, and relates to the technical field of image quality detection.The method comprises the steps that after geometric alignment is conducted on a color card image set, color block areas are divided, and a cross-light-source color block observation matrix is obtained through color block feature extraction; converting the cross-light-source color block observation matrix into a target color space coordinate, and performing illumination correction to obtain a cross-light-source color coordinate matrix; inputting the cross-light-source color coordinate matrix into a deep learning model, outputting a color block level high-dimensional color embedding matrix, and obtaining a high-dimensional color embedding vector set corresponding to the tested mobile phone camera in combination with an attention weight; calculating a color reducibility error index based on the high-dimensional color embedding vector set in combination with the standard reference library; and performing qualification judgment according to the color reducibility error index to generate a qualification detection conclusion. According to the invention, a stable and reliable technical basis is provided for camera quality detection under a multi-light-source imaging condition.

The embodiment of the invention provides a color recognition method and system for pH test paper detection, and belongs to the technical field of image processing. Acquiring standard color card data; defining an identification area; according to the identification area, obtaining position information of a color block of the pH test paper; and obtaining color information of the color block of the pH test paper according to the position information of the color block of the pH test paper and the standard color card data. The method can improve the recognition precision, is more suitable for improving the color recognition precision based on a single-chip microcomputer, and is high in cost performance.

The invention discloses a color correction method, system and device based on cooperative flight of double unmanned aerial vehicles, a medium and a product, and relates to the technical field of agricultural detection. According to the method, a double-unmanned-aerial-vehicle cooperative flight mode is adopted, one unmanned aerial vehicle (namely the first unmanned aerial vehicle) flies at a high height for aerial photographing, the other unmanned aerial vehicle (namely the second unmanned aerial vehicle) carries a color card to synchronously fly at a low height, multiple farmland images containing the color card are obtained, a color correction matrix is constructed based on the RGB value of the color card in the farmland images and the actual RGB value of the color card, and the color correction matrix is obtained. Color correction under a dynamic illumination condition is realized, the problem of color distortion in a low-altitude remote sensing imaging process of the unmanned aerial vehicle is overcome, the reusability of cross-sensor data is improved, accurate acquisition of crop colors by the unmanned aerial vehicle in a field environment is realized, and reliable data support is provided for accurate crop management.

An image forming apparatus includes an image former that prints a color chart on a sheet, an in-line colorimeter that performs color measurement of color patches formed on the color chart, and an image processor that performs color adjustment based on colorimetric values of the color patches formed on the color chart. The image processor combines multiple divided colorimetric data obtained by performing color measurement of color patterns into which a chart is divided, the chart in which color patches are arrayed to be common to the color chart, and obtains colorimetric values of the color patches formed on the color chart from the multiple divided colorimetric data combined.

The invention discloses an RGB camera adaptive color correction method based on graph optimization matching and SDA. The method comprises the following steps: 1) obtaining and inputting a calibration image; 2) carrying out pretreatment and color space conversion on the image; 3) color adaptive clustering based on improved Kmeans and ADAM is carried out; 4) inputting standard color correction card information; 5) obtaining a standard color class diagram model; 6) color class diagram association optimization matching based on parameter clustering; 7) mapping construction of image color blocks and standard color classes; 8) constructing a sparse depth automatic encoder and training the sparse depth automatic encoder; 9) inputting an image to be corrected; according to the method, the mapping of'calibration image-standard color class' is automatically constructed through matching and optimization of color class diagrams, and color correction is completed by using the sparse depth automatic encoder, so that the image acquisition requirement is reduced, and the automation degree of color correction and the accuracy of imaging color are improved.

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.

A method for correcting colors in a captured image, which includes receiving a ground truth color chart having a plurality of reference color patches, capturing an image based on a first color domain from a scene or sample of interest juxtaposed with the ground truth color chart, obtaining ground truth color values associated with each of the reference color patches in a second color domain, generating a scene or sample-specific dataset using the plurality of color values of the reference color patches in the ground truth color chart in the first and second color domains as the input and output, training a neural network of color correction with the dataset, and applying the trained neural network to convert portion of the scene or sample of interest outside the ground truth color chart in the first color domain to thereby generate an output image based on the second color domain.

The invention discloses a semi-supervised non-contact neonatal jaundice home intelligent early warning method based on image calibration, and the method comprises the steps: building a camera response function database, and building a color constancy depth model and a skin region segmentation network; designing a strong and weak enhancement strategy by using a large amount of label-free home data, constructing a time and context comparison learning module, and performing self-supervised training on a feature encoder; a small amount of labeled hospital data and a large amount of unlabeled family data are combined, and semi-supervised fine tuning is realized through pseudo label generation and supervised comparative learning; image sequences continuously uploaded by a user are input into the model, multi-day prediction of the bilirubin level is achieved, prediction uncertainty is quantified in combination with a Bayesian method, the risk boundary is dynamically adjusted, and personalized early warning is provided. According to the method, a user does not need to use a physical colorimetric card, color measurement errors caused by model differences of mobile equipment and variability of household illumination are inhibited from a data source, and the accuracy and robustness of subsequent jaundice assessment are improved; through a training framework combining self-supervised pre-training and semi-supervised fine tuning, the understanding ability and generalization performance of the model for the sequential characteristics of jaundice are improved.

The invention discloses synchronous test paper for Fe < 3 + > and Fe < 2 + > as well as a preparation method and application of the synchronous test paper, and effectively solves the problem that high-concentration Fe < 3 + > and Fe < 2 + > in a boiler chemical cleaning solution are difficult to rapidly, accurately and simultaneously detect. The detection test paper is provided with isolated first and second color developing regions, provides an independent space for Fe < 3 + > and total iron detection, and is anti-interference and accurate. A potassium thiocyanate-hydrochloric acid color developing agent is specially used for measuring Fe < 3 + > in the first color developing area, a phenanthroline-ascorbic acid color developing agent is used for measuring total iron in the second color developing area, and the concentration of Fe < 2 + > is calculated in a combined mode. A standard colorimetric card is matched, color blocks accurately correspond to the concentration range (0-5000 mg / L), the common iron ion concentration is covered, and a comparison basis is provided for detection. During detection, information can be rapidly and visually obtained by comparing the color of the color developing area with the color chart, operation is easy and convenient, complex equipment and professionals are not needed, and field requirements are met. And the scheme is resistant to interference of high-concentration and complex components, and the result is real and reliable.

The invention relates to a detection result interpretation method of a portable constant-temperature nucleic acid amplification instrument, and relates to the field of detection equipment, and the method comprises the following steps: placing a multi-tube PCR (Polymerase Chain Reaction) tube filled with an amplified chromogenic nucleic acid reagent and a colorimetric card in the same environment for photographing; performing image processing analysis on the picture, determining pixel positions of a plurality of test tubes and pixel positions of a standard color card, and performing image color extraction to obtain RGB values; correcting the color through an algorithm, and calculating a judgment value of the color of the reagent in the PCR tube; a color judgment threshold value is set to be 0.4, if the calculated judgment value is larger than the threshold value, it is judged that the PCR tube is positive, and if the calculated judgment value is smaller than the threshold value, it is judged that the PCR tube is negative. And the interpretation accuracy of the amplification detection result is improved.

To provide a multiband colorimetry system that easily performs multiband photographing in a low cost, and detects color information of a photogenic subject with high accuracy.SOLUTION: A subject 142 performing commercial photographing is installed to front of a background cloth 140, and a color chart 144 is arranged to a neighbor. Then, a white LED light source 132, a RLED light source 134, a GLED light source 136, and a BLED light source 138 are turned on and off sequentially by a lighting control part 124, the six subjects 142 and an image of the color chart 144 are imaged by an imaging part 110 by a consecutive shoot mode. Then, image components of a R band, a G band, and a B band are obtained from the image obtained by the white LED light source 132, and components of the R band, the G band, and the B band are obtained from the RLED light source 134, the GLED light source 136, and the BLED light source 138. From the image components of those six bands, accurate color information of the subject 142 corrected by color chart information is detected.SELECTED DRAWING: Figure 1

Provided are a color correction matrix optimization method, an electronic device, and a medium. The method includes performing correction processing on a color source matrix of an acquired color chart image based on a color correction matrix to obtain an output color matrix; determining a global hue error and a saturation constraint regularization term based on Lab coordinates of the output color matrix and Lab coordinates of a target color matrix of a target color chart image and constructing a loss function; and updating the color correction matrix based on a value of the loss function until the value of the loss function converges to obtain an optimal color correction matrix to perform color correction on a to-be-processed image based on the optimal color correction matrix.

The invention relates to the technical field of image processing, solves the technical problem that color correction and white balance correction of images under different light sources are not ideal in the prior art, and particularly relates to a self-adaptive color correction method and system. The method comprises the following steps: obtaining a plurality of calibration images obtained by shooting 24 color cards by a camera under different light sources in a color temperature box, and carrying out color calibration on the calibration images to obtain calibration parameters under different light sources; acquiring an image shot by a camera in any scene, and performing demosaicing processing to generate an image IMG; calculating a white balance parameter of the image IMG; and calculating color correction matrix parameters of the image IMG according to the calibration parameters. According to the method, the parameter calibration efficiency can be improved, the workload is reduced, effective balance correction and color correction in different scenes are realized, and automatic balance correction and color correction are realized, so that the manual operation of a user is reduced, and the use convenience is improved.

The invention provides a metal product surface paint spraying color quality inspection method based on deep learning, and the method comprises the following steps: 1, determining a to-be-detected metal workpiece paint spraying color and a standard color card color, collecting a data set, carrying out the processing and data labeling of the data set, and carrying out the format conversion of a generated labeling file through a script; 2, a color recognition model is constructed, namely, YOLOv5 and Resnet-18 are used for color recognition, and color type recognition of the metal workpiece after image input is achieved; step 3, constructing a color consistency evaluation model, that is, performing target segmentation by using a U-net network, and then performing twin neural network training to perform qualification inspection; 4, adjusting the parameters of the improved model to obtain a network model, and comparing the performances of the two models; and finally, shooting a workpiece picture under an actual condition to verify the applicability of the model, and analyzing the advantages of the model in different scenes. By applying the technical scheme, the pixel-level segmentation prediction of the workpiece can be realized.

The embodiment of the invention provides a color rendition test method and device for a wide-angle lens, electronic equipment and a medium, and belongs to the field of digital image processing. The method comprises the following steps: acquiring an initial image acquired by a wide-angle lens for a preset color card, extracting a color card area from the initial image, then performing color block edge detection on the color card area to obtain color block contour coordinate data, performing color extraction on the color card area according to the color block contour coordinate data to obtain color block color data, and displaying the color block color data on the wide-angle lens. Performing color filling according to the color block color data and a preset color card template to obtain a reconstructed color card image, and finally performing index calculation based on the reconstructed color card image and color data of a preset color card to obtain color index parameters. Compared with the existing test method, the embodiment of the invention does not need to perform distortion correction on the image acquired by the wide-angle lens, but directly generates the reconstructed color card graph, and performs color rendition ability evaluation based on the color card, thereby improving the efficiency of color rendition test.

The invention provides a preparation method of color blocks in a colorimetric card for evaluating skin diseases, the colorimetric card for evaluating skin diseases and application, and the method comprises the steps: taking the skin color of a real skin disease patient as a reference, and obtaining different types of color blocks through a computer algorithm of a deep convolutional neural network; the similarity of the colorimetric card is closer to that of an actual skin damage color, and the distance between two continuous chromaticity is closer to the color difference of the actual skin damage color. Furthermore, the colorimetric card prepared by the method can be used for evaluating skin diseases, especially psoriasis.

The invention belongs to the technical field of spectrum reconstruction and machine learning, and particularly relates to a mapping relation model between a substance image and a spectrum thereof, a construction method and a substance spectrum reconstruction method. Preparing a plurality of groups of standard solutions with different substance types and different concentrations, and obtaining standard spectrums of the standard solutions by adopting a spectrograph; respectively placing each group of standard solutions in a transparent container, placing a colorimetric card on one side of the container, shooting from the other side to obtain an image containing the standard solutions and the colorimetric card, and constructing an image-spectrum sample pair; and constructing a nonlinear mapping relation model between the image and the spectrum through deep neural network learning. The method comprises the following steps: preparing a solution from an object to be detected, placing the solution in a transparent container, placing a colorimetric card on one side of the container, and taking a picture from the other side to obtain an image containing the solution and the colorimetric card; and obtaining a corresponding spectrum according to the obtained model. According to the method, non-contact and non-destructive spectrum reconstruction of an unknown solution can be finally realized.

An inkjet printing apparatus includes: a positional displacement amount calculation unit configured to, during printing processing, calculate a positional displacement amount of printing paper in a paper width direction based on colorimetric data obtained by colorimetry of a color chart by a colorimeter; a colorimeter movement mechanism configured to move the colorimeter; and a colorimeter movement control unit configured to control an operation of the colorimeter movement mechanism based on the positional displacement amount calculated by the positional displacement amount calculation unit.

The invention relates to the technical field of multi-spectral colorimeter inter-table difference reduction, and discloses a method and device for reducing multi-spectral colorimeter inter-table difference, electronic equipment and a medium, and the method comprises the steps: measuring a set number of color cards to obtain measurement matrixes of different colorimeters, and then selecting one colorimeter from the preset colorimeter group as a standard colorimeter, taking the rest colorimeters as to-be-calibrated colorimeters, and establishing a conversion relation between the standard measurement matrix and the to-be-calibrated matrix. The method has the beneficial effects that the consistency between the to-be-calibrated colorimeter and the standard colorimeter is greatly improved, the calibration procedure is simplified, the reliability and consistency of the calibrated colorimeter in practical application are also improved, the applicability of the multispectral sensor in the corresponding color measurement field is enhanced, and the method is suitable for popularization and application. The cost performance and application universality of the multispectral colorimeter are remarkably improved, and a more stable and accurate color measurement solution is provided for various industries.

To provide an absorbent article in which it is easy to recognize that the absorbent article is a product suitable for wearing for a long time and which can be used by a user without anxiety.SOLUTION: An absorbent article (1) includes an absorbent core (11) in which an average basis weight of a superabsorbent polymer is equal to or greater than 270 g / m2. The absorbent article includes a first colored region (51) and a second colored region (52) in a case where the diaper (1) in a developed and stretched state is viewed from a non-skin side in a thickness direction, a total area of the first colored region (51) being equal to or greater than 50% of an area of the absorbent article (1). When 2071U, 2072U, 2073U, etc. in a color sample of PANTONE are represented as first color group, the first colored region (51) is a region of a color corresponding to any of the first color group, When 100U, 101U, 102U, etc. in the color sample of PANTONE are represented as a second color group, the second colored region (52) is a region of a color corresponding to any of the second color group.SELECTED DRAWING: Figure 1

An information processing device acquires a learning image in which a subject for learning and a color chart appear. The information processing device calculates a correction coefficient for correcting a color appearing in the color chart in the learning image to a reference color as a reference. The information processing device generates learning data in which an image of a portion of the subject for learning in the learning image is associated with the correction coefficient. The information processing device generates a trained model that outputs a correction coefficient for correcting a color of an image in which a subject appears in response to an input of the image based on the learning data.

The invention provides an information processing device and an information processing program product which solve the problem that color patches with different color values cannot be printed by changing the usage amount of color materials desired by a user. The information processing device is configured to include: an acquisition unit that acquires a specified color material, which is a color material specified from among a plurality of color materials, as a parameter for changing a color value of a color patch; and a generation unit that generates print data for printing a colorimetric chart including a first color patch and a second color patch in which the use amounts of the specified color material are different and the use amounts of color materials other than the specified color material are the same.

The utility model discloses a bladder irrigation fluid constant temperature device with a colorimetric card, which comprises a heat preservation bag, an infusion bag is arranged in the heat preservation bag, and a temperature control module is arranged in the heat preservation bag; the temperature control module comprises an inner cavity, an electric heating wire, a temperature sensor, a controller, a display screen and an adjusting button; the inner cavity is formed in the heat preservation bag, an electric heating wire is arranged in the inner cavity, the electric heating wire is electrically connected with a controller, and the controller is electrically connected with a temperature sensor. The infusion bag is wrapped by the heat preservation bag, the temperature control module is used for automatically adjusting the temperature of flushing fluid, it is ensured that the temperature of the flushing fluid is always kept within the set range, the flushing effect is improved, discomfort of a patient caused by too low temperature or wound cracking caused by too high temperature is avoided, the patient can obtain better postoperative care, and the patient is protected from being injured. The patient is helped to recover health more quickly, the risk of complications is reduced, and the operation effect is improved.

The present invention is to introduce a computer-implemented, web-based stereoscopic acuity computation and stereo eye color accuracy assessment to test for what colors patients are deficient in as seen through the real world in pictures rather than just for color by itself. The pictures are taken with a camera or similar electronic device use. The eye color accuracy exam utilizes caffeine products. The computation takes color characteristics of a target color where they are inputted, identified matched, and processed in a way as to expose a visual deficiency of the target color selected from a color database and color chart based upon color characteristics of the target color to be matched, processed, and visually stereoscopically displayed thus enabling comparison of the alternate color(s) with the target color. The computation uses gamma correction, color thresholding, alpha composing, opacity ratios and eye color accuracy assessment from a patient to provide a result.

The present disclosure relates to a color card generation method, an image processing method, apparatuses, and a readable storage medium. The method includes: transferring first standard colors in a first color display standard into colors in a second color display standard, to obtain a first color set; performing channel separation on the second standard colors in the first color set, to acquire color components of the second standard colors respectively in a target color channel; adjusting the color components of the second standard colors respectively in the target color channel, to obtain a second color set; and generating a target color card in the second color display standard, according to the second color set, wherein, the target color card is used for implementing a target effect.