322 results about "Chromaticity" patented technology

The invention discloses a brightness and chrominance consistency correction method and system for an LED spliced screen, and the method comprises the steps: firstly recognizing the batch features of a module, dividing the batch features into correction partitions, and respectively collecting the original brightness and chrominance data of a high-gray linear region and a low-gray nonlinear region; and then, calculating the geometric intersection of the original color gamuts of all the partitions to determine the maximum common target color gamut, and eliminating the metamerism phenomenon caused by multi-batch mixed use from the physical level. Then, constructing a non-linear dual-order correction model, and generating a correction coefficient set containing a main linear conversion matrix and a low-gray-scale non-linear offset item; when the control system runs, the linear matrix is dynamically called according to the input gray level, and bias compensation is superposed. According to the invention, the problems of cross-batch visual angle chromatic aberration and color temperature drift and pocking marks under low gray level of the spliced screen are effectively solved, and the high-fidelity display consistency of the full gray level is realized.

The invention discloses a multi-channel multi-color-temperature intelligent light source system for consistency calibration of a camera module and an optimization method, and the calibration system generates PWM signals through an STM32F103ZET6 main control unit of a light source controller to control the light output of each group of cold and warm LEDs so as to provide a stable and adjustable illumination environment; measuring reference brightness and chromaticity parameters of cold light and warm light of each group of LEDs, setting a target brightness value and a color temperature value, and converting the target brightness value and the color temperature value into target chromaticity coordinates; the initial PWM duty ratio of the cold and warm light LED is calculated, a piecewise polynomial nonlinear compensation algorithm is adopted to correct the duty ratio, and the LED is driven to output mixed light meeting the target brightness and color temperature; collecting a large amount of brightness and color temperature data by cyclically and gradually adjusting the duty ratio, and generating an error thermodynamic diagram; and the compensation model coefficient is optimized and updated according to error analysis, so that the light source output keeps high-precision consistency in a full range. Compared with the prior art, the method has the advantages that the brightness and color temperature consistency of the light source can be automatically calibrated and continuously optimized, the accuracy and stability of OTP burning calibration of the camera module are greatly improved, and the production test efficiency and the product imaging quality are improved.

The invention discloses an intelligent monitoring system for camellia oleifera processing based on artificial intelligence, and relates to the technical field of camellia oleifera fruit processing, and the system comprises a temperature monitoring module which comprises a multi-point temperature sensing array which is arranged along the axial direction of a presser and is installed at the front end, the middle part and an oil outlet of a barrel, the temperature sensor is used for collecting temperature and forming temperature distribution data in the barrel; the color detection module is arranged at an outlet of the oil outlet pipeline, obtains oil chromaticity parameters and a yellow-red ratio through spectral imaging, and extracts color feature data; and the volatile matter detection module is arranged above the discharged oil collection cavity and is used for detecting the concentration of volatile organic compounds through a gas sensing array and generating flavor characteristic data. By arranging the temperature monitoring module, the color detection module and the volatile matter detection module, real-time collection of multi-dimensional information in the squeezing process is achieved, and based on an asynchronous triggering and weighted fusion mechanism, space-time alignment and conjoint analysis are conducted, a joint feature vector is constructed, and a real-time prediction result is output.

The invention relates to the technical field of constructional engineering quality detection, and discloses a method for testing the apparent quality of mirror-surface bare concrete. The method comprises the following steps: acquiring a multiband multispectral image of the surface of a component; through image fusion and feature decoupling, an independent specular glossiness distribution diagram, a microscopic fluctuation topological diagram and a chromaticity coordinate mapping diagram are obtained; registering and associating the three images to construct a three-dimensional total element apparent characteristic field; performing gridding scanning on the characteristic field to extract glossiness uniformity, texture roughness and chromaticity stability indexes of each grid; inputting a pre-trained apparent quality analysis network to output a local quality evaluation value and a defect type label of each grid; and integrating and generating an overall quality index and generating a repair guidance map according to the defects. According to the method, multi-dimensional, full-field and intelligent fine detection of the apparent quality is realized, the gloss, the texture and the color can be independently and quantitatively analyzed, and the defect can be accurately positioned.

A method of forming an imaging calibration device for a biological material imaging system is provided. A first set of one or more discrete regions is provided upon or within a retaining member. Each said region of the first set comprises a selected tissue stain material, wherein each of the selected tissue stain materials exhibits a predetermined optical response inside a colour-stable region of a chromaticity diagram defined by the ellipse x2 / a2+y2 / b2=1, where a=0.21, b=0.135, the rotation is −0.07 rad and the translation is (0.38,0.333). A second set of one or more discrete regions is also provided upon or within the retaining member. The second set is formed of one or more coloured filters having a predetermined optical response outside the colour-stable region.

A method provides distance calibration data to a colorimetric range sensor system having a colorimetric range sensor optical pen configured to focus different wavelengths at different distances along a distance measurement axis. The colorimetric range sensor optical pen is arranged in a certain relationship relative to a spherical calibration object having a nominal spherical calibration surface. The relative movement of the colorimetric range sensor optical pen with respect to the nominal spherical calibration surface is controlled to perform a helical scan of a portion of the nominal spherical calibration surface. Distance indication data is determined to correspond to the distance between the colorimetric range sensor optical pen and a surface point on the nominal spherical calibration surface when the helical scan is performed. Distance calibration data for the colorimetric range sensor system is determined based on the distance indication data.

A method includes receiving data indicating at least two different base colors to be respectively emitted from base lights on opposite sides of at least one transition light of a light array. Each light of the light array has adjustable colors and is covered by one or more light guides, and receiving data of a target color between the two base colors in at least one coordinate dimension on a chromaticity color space chart. The method also includes determining at least one adjustment color on an opposite side of the target color from a mixed color on the color space chart, and providing the at least one adjustment color to be emitted from the at least one transition light when the base colors are being respectively and simultaneously emitted from the base lights on opposite sides of the at least one transition light.

The invention relates to a color gamut mapping method and device, computer equipment, a chip and a chip module. The method comprises the steps of querying a pre-constructed color gamut boundary corresponding relation based on a target direction axis coordinate value in converted color coordinate values of a sampling point of a to-be-processed image and a chromaticity coordinate value of the sampling point, and obtaining an input color gamut boundary and an output color gamut boundary corresponding to the sampling point; according to the input color gamut boundary and the output color gamut boundary, mapping the color coordinate value to obtain a target color coordinate value corresponding to the sampling point; smoothing the target color coordinate value to obtain a processed target color coordinate value corresponding to the sampling point; and obtaining a target image corresponding to the to-be-processed image based on the processed target color coordinate value. By adopting the method, the color gamut mapping accuracy can be improved.

The present invention provides a color and luminance compensation method and system, and an MR head-mounted display device. The color and luminance compensation method comprises the following steps: acquiring gaze point coordinates of a user to determine a corresponding color and luminance compensation matrix, wherein the color and luminance compensation matrix comprises a chromaticity compensation element and a luminance compensation element for a preset first color in an image to be compensated, and a chromaticity compensation element for at least one other second color, and a value of each compensation element is determined on the basis of a luminance value of the first color at a target position corresponding to the gaze point coordinates; and inputting the color and luminance compensation matrix into a display module, so as to perform, by means of the display module, synchronous color and luminance pre-compensation on a plurality of pixel points in said image. In the present invention, synchronous pre-compensation of color and luminance non-uniformity can be performed in real time on the basis of the gaze point position of human eyes, thereby presenting an optimal effect to the human eyes.

This invention relates to the field of industrial circuit board anomaly monitoring technology and discloses a vision-based industrial circuit board anomaly monitoring method, comprising the following steps: Step 1: Acquire image data and performance test data of all circuit boards, and classify them into image datasets and performance datasets; Step 2: Based on the image datasets, evaluate the appearance defects of each circuit board, generate corresponding bridging area ratios, color deviations, and pin deviations, and construct a three-dimensional defect scoring matrix by comprehensively utilizing image processing, color analysis, and geometric measurement technologies; Step 3: Based on the performance datasets, evaluate the functional defects of each circuit board, generate corresponding functional data sets, achieving high accuracy in multi-dimensional monitoring; Step 4: Based on the image datasets, bridging area ratios, color deviations, pin deviations, and functional data sets, classify the defect types of each circuit board into connection defects, scratch defects, and electrical defects, and output corresponding control commands, achieving high efficiency in intelligent repair.

The invention discloses an RGB-LED spectrum closed-loop system for colorimetry teaching and a color matching method. The system comprises a multi-source input module, a spectrum database module, a dynamic modeling module, an optimization algorithm engine module, a duty ratio calculation module, a PWM driving module and a closed loop verification module. The system is provided with a multi-source input interface, target color coordinates can be obtained, and chromaticity conversion of RGB input is supported; on the basis of the constructed high-precision linear model, solving a normalized strength ratio under constraints by combining an optimization algorithm engine and taking minimization of chromatic aberration as a target; calculating an actual PWM duty ratio according to the actual PWM duty ratio; meanwhile, a spectral irradiation sensor is integrated to collect a mixed color spectrum in real time, actual color coordinates are calculated, and an offset connecting line with an arrow between a target point and an actual point is dynamically drawn in a chromaticity diagram, so that a set of complete visual teaching tool is formed. Compared with a manual color matching scheme, the color mixing precision and the color matching efficiency are greatly improved, and the teaching requirements of colorimetry can be better met.

The invention belongs to the technical field of multi-source remote sensing image fusion, and relates to a structure-texture collaborative interference radar altimeter image and optical image fusion method and system. The method comprises the following steps: reading an optical image and a wide-swath interference radar altimeter image, and carrying out preprocessing and space-time registration; respectively decomposing the registered optical image and radar altimeter image into a structural layer and a texture layer by adopting a multi-scale local total variation decomposition method; fusing the structure layer by adopting a fusion rule based on weighted local energy and local gradient consistency to generate a fused structure layer; fusing the texture layer by adopting a fusion rule of combining partition filtering and maximum absolute value to generate a fused texture layer; adding the fusion structure layer and the fusion texture layer, and reconstructing to obtain a gray fusion image; and performing intensity-hue-saturation inverse transformation with the chromaticity and the saturation of the original optical image by taking the gray level fusion result as intensity to generate a final natural color fusion image.

The application provides a compressor aerodynamic stability prediction method and device, the method comprising color space conversion on an initial flow field cloud image of the compressor to obtain a target flow field cloud image, wherein the target flow field cloud image comprises at least two color channels; for any pixel point in the target flow field cloud image, the gradient amplitude of the pixel point on different color channels is calculated, and a color gradient map is generated according to the gradient amplitudes of multiple pixel points; based on a preset threshold and the gradient amplitudes, the color attribute of each pixel point in the color gradient map is adjusted to obtain a color mask image; the connected region of a target color in the color mask image is determined as a target region of a shock wave, a main flow and a leakage flow interface; based on the distance between the target interface region and the blade leading edge of the compressor, a stability prediction result is generated, wherein the stability prediction result represents that the compressor is in an unstable or stable state.

The invention provides a coffee particle color value detection method and a colorimeter. The method comprises the steps that n color cards are irradiated through a first spectrum light source; the light detector receives the reflected light of the n color cards on the first spectrum light source to form first-class images of the n color cards; respectively acquiring image brightness values of the n color cards according to the first type of images of the n color cards; obtaining color card values of n color cards and a preset function model; according to the image brightness values of the n color cards, the color card values and a preset function model, performing fitting to obtain parameter values of the preset function model; irradiating the coffee particles through a first spectrum light source; light reflected by the coffee particles to the first spectrum light source is received through a light detector to form first-class images of the coffee particles; acquiring an image brightness value of the coffee particles according to the first-class image of the coffee particles; and calculating the chromatic value of the coffee particles according to the image brightness value of the coffee particles, a preset function model and the parameter value. According to the invention, the measurement accuracy and consistency of the chromatic value can be improved.

The present application provides a multi-color light mixing method and apparatus, a system, and a computer device. The method comprises: acquiring target chromaticity coordinates and target luminance of target colored light, and chromaticity coordinates and luminance of four mixing colors; obtaining three determination regions on the basis of the chromaticity coordinates of the four mixing colors; determining a target determination region into which the target chromaticity coordinates of the target colored light fall, the target determination region being one of the three determination regions; and on the basis of chromaticity coordinates and luminance of three vertices of the target determination region and the target chromaticity coordinates of the target colored light, determining mixing proportions of the various colors required for forming the target colored light. The present application provides a novel light mixing algorithm. The three determination regions are set according to a preset directional projection manner on the basis of a color gamut range formed by four colors, so that the mixing proportions of the four colors are calculated by determining the determination region into which the target colored light falls, thereby completing light mixing on the basis of the mixing proportions, and controlling output of the target colored light.

A chromaticity attribute evaluation method and apparatus (200), a computer device, a storage medium, and a product. The chromaticity attribute evaluation method comprises: calculating a first chromatic aberration ΔE1 of a chromatic aberration-free group under an illumination light source, the chromatic aberration-free group being a combination of a standard sample and a chromatic aberration-free product (S100); calculating a second chromatic aberration ΔE2 of a group being evaluated under an illumination light source, the group being evaluated being a combination of a standard sample and a product being evaluated (S200); acquiring a false positive probability of determining a chromatic aberration-free group as "having a chromatic aberration" and a true positive probability of determining a group being evaluated as "having a chromatic aberration" (S300); inputting the false positive probability and the true positive probability into a quantization model of the chromatic aberration resolution threshold to obtain a chromatic aberration resolution threshold of the product being evaluated (S400); inputting the false positive probability and the true positive probability into a quantization model of the chromatic aberration determination bias to obtain an estimated determination bias value of the product being evaluated (S500); and on the basis of the chromatic aberration resolution threshold and the estimated determination bias value, acquiring the chromaticity attribute evaluation result of the product being evaluated (S600).

Embodiments of the present application provide a photovoltaic module shadow defect identification method and system based on multispectral imaging. In the method, through the multispectral image data of the surface of the photovoltaic module, the intrinsic features directly related to the material characteristics are extracted by using feature decomposition technology, and a multi-dimensional intrinsic color space capable of accurately reflecting the material characteristics of the module is constructed. By analyzing the relative relationship between the reflectivities of different wave bands, the adaptive clustering algorithm is used to divide the normal area, the shadow area and the defect area in the multi-dimensional intrinsic color space, and based on the material optical characteristics, the two-level identification strategy is used to identify the real defects in the shadow area, so that the accurate identification of the real defects of the photovoltaic module in the complex shadow environment is realized.

The invention discloses an image enhancement method, computer equipment and a readable storage medium, and belongs to the technical field of image signal processing. The method comprises the following steps: in response to the input of a YUV image, performing brightness enhancement on a first brightness image corresponding to a Y channel of the YUV image to obtain a second brightness image; performing global average pooling operation on the first brightness image and a first chromaticity image corresponding to a UV channel of the YUV image to obtain statistical characteristics; performing color cast correction on the first chromaticity diagram based on the statistical characteristics to obtain a second chromaticity diagram; and based on an inverse transformation formula from YUV to RGB, carrying out linear transformation and recombination calculation on the second brightness diagram and the second chromaticity diagram to obtain a nonlinear enhanced RGB image corresponding to the YUV image. According to the invention, color cast during image enhancement can be avoided, so that the classification precision of a downstream target detection network is improved.

The utility model relates to an optical teaching experiment platform, which comprises a color experiment device, a light splitting experiment device, a lens imaging device and a refraction and reflection experiment device, wherein the color experiment device is used for carrying out experiment teaching of related knowledge of color synthesis of light, the light splitting experiment device is used for decomposing white light into light with different wavelengths through a light dispersion element, and the lens imaging device is used for carrying out experiment teaching of related knowledge of convex lens imaging. The refraction and reflection experiment device is used for carrying out experiment teaching of light reflection and refraction related knowledge. Compared with the prior art, the optical teaching aid systematically integrates basic optical knowledge, expanded optical knowledge and frontier optical knowledge related to middle schools, and can endow optical teaching with more intuitive principle display and more interesting operation experience.

This invention relates to an image dehazing method, system, storage medium, and device based on energy domain transformation, comprising the following steps: Step 1: Acquire the hazy image to be processed and perform preprocessing; Step 2: Calculate the energy of each intensity in the RGB three channels of the preprocessed image, calculate threshold parameters for the energy, and limit the energy; Step 3: Convert from the energy domain back to the RGB color space and output the dehazed image. Based on the basic feature statistical information of image pixel image contrast, the energy of the image is obtained using local statistical information, and the energy of the image is limited, thereby improving the relative contrast of the energy. After conversion back to the RGB space, the local contrast in the RGB space is significantly enhanced, thus realizing complex spatial domain feature processing and achieving high-performance dehazing function.

This invention discloses a method and system for quantifying the color discrimination ability of both natural and artificial light sources. The method first measures the spectral power distribution of the light source to be evaluated. S ( l The illuminance E was then calculated; subsequently, the neutrality index of the light source was calculated in a uniform color space. S neutral The continuous color difference index (SCD) is calculated based on the chromaticity values ​​of a set of continuous color samples in a uniform color space; a segmented illuminance correction function is output according to the illuminance range; finally, the neutrality index is... S neutral The continuous color difference index (SCD) and illuminance correction function are uniformly input into a preset light source color discrimination capability quantification model G to calculate a comprehensive evaluation value. This invention comprehensively quantifies color discrimination capability from three dimensions: spectral characteristics of the light source, neutrality, and illuminance level. It effectively solves the technical problems of existing models failing to represent the spectrum under natural light and being unable to accurately quantify the nonlinear visual response of the human eye under extremely large illuminance spans.

Noise performance of image sensors is improved by use of inter-pixel comparisons, which may number in the hundreds, all contributing information about a given pixel. This permits accurate determination of image chromaticity, even at extremely low signal-to-noise ratios. In other embodiments, filters of non-conventional spectral transmission functions are employed to reduce metamerism, enabling discernment of scene information not visible to the human eye. Still other embodiments involve fabricating a sparse array of transparent pedestals on an image photosensor array. When color resist is thereafter applied, these pedestals cause thickness variations in the resulting resist layer, leading to pixels having different spectral responses despite using the same color resist. Still other embodiments concern image sensor arrangements enabling generation of red, green, blue and NIR output data using only four conventional (red, green, blue, cyan, magenta, yellow) color resists. Many other novel features and arrangements are also detailed.

The invention discloses an unsupervised rice mapping method based on priori knowledge, and the method comprises the steps: constructing a PSS-Unet deep learning framework, and automatically generating an initial pseudo tag through RiceTcolor-CIE chromaticity transformation and an NDWI water mask by employing a Sentinel-2 transplanting period image; the pseudo labels are fused with time sequence optics, time sequence radar and SATELD features respectively, and a training set composed of multi-source heterogeneous feature data is constructed; training a U-Net model based on a BCE loss function with an ignoring mechanism; a dynamic pseudo label optimization mechanism is introduced, a confidence map generated by model prediction is utilized, and progressive improvement of pseudo label quality is realized by combining confidence screening and an iterative re-labeling strategy so as to realize rice planting area identification; a pseudo label generated by priori knowledge is used as an initial supervision signal to drive U-Net network learning, and a dynamic optimization mechanism based on model confidence is designed to realize collaborative iterative evolution of the pseudo label and a model, so that the label reliability and the model discrimination capability are gradually improved.

The invention relates to the technical field of photoelectric display, and provides an area array chromaticity data multi-point correction method based on a two-dimensional Gaussian basis RBF interpolation method, and the method comprises the steps: obtaining a first chromaticity data array of a measured surface and second chromaticity data of M correction points in the measured surface; constructing a two-dimensional Gaussian radial basis function interpolation model sharing a group of shape parameters based on the positions of the correction points; solving a weight parameter of each Gaussian basis function according to the first chrominance data array and the second chrominance data at the correction point; and performing point-by-point correction on the first chrominance data array by using the solved model. According to the method, fitting precision and smoothness of chromaticity space nonlinear change are effectively balanced through adaptive shape parameters, the chromaticity relation consistency is kept by adopting a multi-channel coupling correction mode, and correction precision and efficiency are effectively improved.

An image-processing method according to one embodiment of the present technology includes controlling a graphics-processing device to obtain position information that is in an orthogonal coordinate system and represents a user viewpoint with respect to at least one display panel, the user viewpoint being a prescribed distance away from a prescribed pixel of the display panel in a normal direction of the prescribed pixel. A luminance correction texture that includes a luminance value associated with the user viewpoint is obtained. A color conversion matrix is generated on the basis of the user viewpoint and the obtained luminance correction texture. The luminance and chromaticity of a rendered image are corrected on the basis of the generated color conversion matrix.

An optical film includes a substrate, an optical function layer, and a colored layer. The substrate has an ultraviolet shielding rate of 85% or higher according to JIS L 1925. The optical function layer is formed on a first surface side of the substrate. The colored layer is formed on a second surface side. A difference ΔE*ab between chromaticities before and after a lightfastness test is 5 or less. A first coloring material includes a maximum absorption wavelength of 470 to 530 nm and an absorption spectrum half width of 15 to 45 nm. A second coloring material includes a maximum absorption wavelength of 560 to 620 nm and an absorption spectrum half width of 15 to 55 nm. A third coloring material has a wavelength having the lowest transmittance in a wavelength range of 400 to 800 nm is in a range of 650 to 800 nm.

The present application provides a multi-primary additive color mixing method and apparatus, a system, and a computer device. The method comprises: acquiring chromaticity coordinates and luminance of four additively mixed colors; determining four corresponding determination regions according to the chromaticity coordinates of any three of the four additively mixed colors; acquiring a target chromaticity coordinate and target luminance of target colored light; determining a target determination area in which the target chromaticity coordinate of the target colored light falls, the target determination area being one of the four determination areas; and according to chromaticity coordinates and luminance of three vertices of the target determination area and the target chromaticity coordinate and the target luminance of the target colored light, determining a light mixing ratio of the colors required to form the target colored light. The present application provides a brand-new multi-primary color mixing algorithm, which cross-partitions a color gamut range defined by four primary colors to obtain four determination regions formed on the basis of any three of four additively mixed colors, and computes a light mixing ratio of the four colors by determining a determination region in which target colored light falls, so as to complete mixing on the basis of the light mixing ratio and thereby control output of the target colored light.

To provide an image forming apparatus capable of specifying a color value after color stabilization of an image formed in various use situations in a shorter time.SOLUTION: An image forming device 1 according to the present disclosure includes a control unit 40 that continuously performs color measurement of an image immediately after the image is formed by test printing, and specifies a color value after color stabilization of the image, and a storage unit 60 that stores a color measurement result and an image forming condition in association with each other as history-data D1 for test printing performed in the past. Then, when the control unit 40 performs new test printing and continuously performs color measurement of the image formed by the test printing, in a case where a difference in transition between the time-series color measurement date of the image formed by the new test printing obtained up to the present time and the time-series color measurement date of the color measurement result stored as the history date D1 is equal to or less than a predetermined value the control unit 40 determines that the color measurement is completed at that time.SELECTED DRAWING: Figure 6

A color correction chart (10) is provided with a substrate (11) and a color patch (12a) formed on the substrate (11), the color patch (12a) includes a first color, and coordinate points of the first color are located in a region (L1) surrounded by three points (0.200, 0.070), (0.450, 0.280), (0.310, 0.340) on an xy chromaticity diagram.

The application discloses a medical goggle lens and a design method thereof, and belongs to the field of goggle lenses. According to the corresponding curves x(lambda), y(lambda) and z(lambda) of three cone cells of a human eye to a visible spectrum, three stimulus values are obtained by using a standard observer response function, the three stimulus values are normalized, the chroma is less than 0.1, the value range of x, y and z is 0.32-0.34, the laser wavelength to be cut off is obtained, the transmittance of other wavelengths is adjusted, corresponding x, y and z design values are obtained, the film system of an optical film is designed according to the x, y and z design values, and the corresponding film system is obtained. Through the above steps, the laser wavelength used in surgery is cut off in a specific wavelength range, the radiation of laser light is prevented from causing harm to the human eye, the transmittance is high, the chromatic aberration is small, the color of the film layer is close to colorless, and the color of the protective lens is reduced to interfere with medical staff.