251 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 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 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 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 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.

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 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 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.

The present application belongs to the technical field of oil use peony phenotype parameter automatic extraction method, especially relates to a kind of oil use peony phenotype parameter automatic extraction method and system based on multi-organ image analysis, obtain the high-resolution original image of oil use peony multi-organ containing ColorChecker24 standard color card, the organ at least includes petal, blade, fruit pod;Color correction and geometric correction are executed to original image, 24 color blocks of color card are positioned using computer vision algorithm, color conversion matrix is constructed to map image from device-dependent RGB space to standard color space, while calculating pixel scale based on color block physical size;Four corner points of bearing tray are detected for fruit pod image, and perspective transformation matrix is constructed to complete perspective distortion correction.

In a printing device, a print head performs printing based on image data. The image data represents an original image including a plurality of original pixels. The controller displays a preview image based on the image data. In the preview image, each preview-image pixel corresponds to one of the plurality of original pixels and has a color based on a color of the corresponding original pixel. The controller receives information on a preview-image pixel specified by a user. The controller sets an expanded region in the original image on the basis of a printing resolution. The expanded region includes original pixels having an original pixel corresponding to the specified preview pixel. The controller generates patch chart print data based on color values of original pixels in the expanded region. The controller controls the print head to print the patch chart image.

The application discloses a color camera color correction method, system, device and medium, the correction method comprises: through shooting the area light source to complete the lens shadow correction and white balance correction of the color camera; the XYZ value of the area light source is measured using a color measuring device, and the light source correction coefficient corresponding to the different areas of the area light source is calculated; the transmission color card is placed, and the transmission light of the area light source passing through the color card is measured using the color measuring device to obtain target color data; the color camera is started and the measured color data is collected, so that the correction matrix is fitted based on the target color data. The application carries out color correction of the color camera based on the color card under the irradiation of the actual area light source, avoids the influence of the actual area light source on the true value of the color card provided by the manufacturer, solves the area light source shielding problem during the measurement of the target color data through the transmission color card, solves the uniformity problem of the area light source through the light source correction coefficient, and significantly improves the accuracy of the color correction as a whole.

The present application discloses a method for spectral prediction and closed-loop feedback wide-width corrugated box extended gamut flexographic pre-printing, belonging to the field of packaging engineering and printing technology. The method comprises: establishing a dot gain mapping function based on the Yule-Nielsen correction model by testing the roughness, ink absorption and surface energy of the corrugated paper; printing a CMYKOGV seven-color characteristic color card to generate an adaptive ICC profile; using the CIEDE2000 color difference formula and constant hue angle mapping algorithm for gamut compression and color separation; selecting a low-hardness flat-top dot flexographic plate and configuring a anisotropic screen roller; introducing the Walker-Fetsko rheological ink transfer equation during printing, combining with real-time feedback of an online spectrophotometer to dynamically adjust the printing pressure and ink viscosity, and realizing closed-loop compensation. The present application realizes high-precision simulation of more than 90% of the PANTONE spot color library, completely gets rid of the dependence on spot colors, significantly improves the color stability and production efficiency of wide-width flexographic printing, and is suitable for extended gamut pre-printing production of high-quality corrugated boxes.

The present invention relates to a method for detecting pyridine in air. A test strip is placed in an air environment to be tested, and a color change of the test strip is observed. The pyridine concentration is qualitatively or quantitatively determined based on the color change of the test strip. The test strip is made of filter paper and a zinc-based organic-inorganic hybrid halide material. The present invention uses the test strip and a color card or a linear correlation model standard curve to perform qualitative or semi-quantitative determination of the pyridine concentration in the air, thereby monitoring whether the pyridine content in the air exceeds the standard or the extent of the excess. The method has the advantages of easy operation and more convenient detection.

An information processing apparatus performs, as a first specification processing, specification processing of specifying, in a color chart composed of a plurality of rows each including a plurality of color patches, one candidate row that is a candidate for a color-measured row in which a user performed color measurement, based on colorimetric values of the candidate row and reference values of respective color patches in the color chart; and performs specification processing of specifying, in a case where it is not possible to specify only one candidate row in the first specification processing, the color-measured row with use of information other than colorimetric values.

This invention provides a colorimetric detection method and related apparatus for meat freshness based on a dynamic reference library. The method includes: acquiring a test strip image and meat type information of the meat sample to be tested; determining the region of interest (ROI) of the test strip image, extracting features from the ROI to obtain a feature vector, wherein the feature vector is a feature vector composed of RGB feature values; calculating a predicted concentration value and a confidence index based on the feature vector and a user-defined dynamic reference library using a K-nearest neighbor regression algorithm, wherein the dynamic reference library is constructed based on the mapping relationship between concentration gradient values ​​and RGB feature values ​​of a standard color chart image set and freshness threshold ranges for different meats; and comparing the predicted concentration value with the corresponding freshness threshold range for the meat to determine the freshness level information of the corresponding meat sample. Based on this, this invention can achieve high-precision detection of the freshness of different meats.

The utility model relates to concentration test strip comparison technical field, specifically is a kind of positioning structure for concentration test strip comparison, including locating disc, clamping groove, comparison groove, slide rail and test strip groove, the clamping groove is filled with colorimetric card;The moving disc is equipped in the comparison groove, and the test strip holder is equipped in the moving disc corresponding test strip groove;The clamping groove on the surface of locating disc is positioned to colorimetric card, the comparison groove is fixed to slide rail and stores moving disc, the test strip holder is put into test strip holder by the test strip groove in the moving disc top, the test strip is carried by test strip holder, under the cooperation of slide rail, the moving disc makes test strip to carry out comparison work by left and right sliding at the bottom of corresponding colorimetric card, after comparison, personnel can hold handle and take out test strip holder from test strip groove and replace test strip, and it is convenient to operate.

1. The name of the design product: color card (C11). 2. The use of the design product: used for nail polish color color selection. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective drawing.

The invention discloses an image enhancement method and device, equipment and a storage medium, and relates to the field of visual inspection, and the method comprises the steps: carrying out the image collection of an original color card based on an AOI light source, obtaining an original ground color image corresponding to a plurality of colors in the AOI light source, processing the original ground color image, obtaining a target ground color image, and carrying out the processing of the target ground color image. Acquiring an original image of the circuit board behind the furnace based on the AOI light source, performing image enhancement on the original image based on the target ground color map to obtain a target image, and detecting the circuit board behind the furnace to be detected based on the target image; according to the method and the device, the original ground color maps corresponding to various colors are processed, and the original image of the furnace rear circuit board is enhanced based on the target ground color map obtained after processing, so that the image quality of the to-be-detected furnace rear circuit board is greatly improved, the to-be-detected furnace rear circuit board is detected based on the target image, and the detection efficiency is improved. Therefore, the target detection efficiency and the detection precision are improved.