26 results about "Color ratio" patented technology

An apparatus for calculating calibration data for an image sensor includes: a color image generator configured to receive a raw image from an image sensor and generate a plurality of color images by dividing a raw image by color; an area divider configured to divide each of the plurality of color images into pixel blocks, each pixel block having a preset size; a color ratio calculator configured to compare a reference color image with at least one non-reference color image and calculate color ratios for each pixel block of the at least one non-reference color image, the reference color image having a preset reference color and the at least one non-reference color image without having the preset reference color; and a conversion ratio calculator configured to calculate conversion ratios for each pixel block of the at least one non-reference color image using the color ratios for each pixel block.

To provide an adhesive sheet suitable for suppressing breakage of an image display panel due to a local load.SOLUTION: In the pressure sensitive adhesive sheet according to an embodiment of the present invention, at least one selected from the group consisting of the following requirements (i) to (iii) is satisfied. (i) The coloring ratio X1 specified by Test 1 satisfies X1 ≤ 1.1%. (ii) The coloring ratio X2 specified by Test 2 satisfies X2 ≤ 1.8%. (iii) The coloring ratio X3 specified by Test 3 satisfies X3 ≤ 4.6%.SELECTED DRAWING: Figure 1

The invention relates to a vehicle-mounted camera shielding detection method, a shielding detection system, shielding detection equipment and a computer readable storage medium. The method comprises the following steps: data preprocessing: acquiring a vehicle-mounted camera image, and dividing the vehicle-mounted camera image into data blocks according to equal division quantity after downsampling; feature extraction: for each data block, extracting basic features including brightness, contrast and histogram peak ratio, an edge feature being edge density, a complexity feature being superpixel set gradient relative change, and a pure color gamut feature being color ratio; block evaluation: according to the priorities of the basic features, the edge features, the complexity features and the pure color gamut features, correcting the edge features and the complexity features by using a brightness adaptive rule; performing mixed scoring: judging the blocking state of the data block, accumulating blocking scores in combination with a score block template, and comparing the blocking scores with a threshold value to obtain a blocking grade; and time sequence filtering: performing state transition judgment on the shielding level, filtering instantaneous interference and then outputting a detection result. According to the invention, high-robustness shielding detection in a complex vehicle-mounted scene can be realized.

Embodiments of the present application provide an image processing device, an imaging device, a method, an electronic device and a storage medium, and relate to the technical field of computer vision. The device comprises: a channel difference value determination module configured to determine a channel difference value of a target pixel point of an original image; the channel difference value comprises an average color difference value between a guide channel and a to-be-guided channel; a guide filter coefficient determination module configured to determine a guide filter coefficient according to the channel difference value and a preset first correspondence relationship; the guide filter coefficient comprises a color ratio coefficient and a color difference coefficient; the first correspondence relationship comprises a correspondence relationship between the average color difference value and the color ratio coefficient; and an image recovery module configured to perform recovery processing on the original image in the to-be-guided channel according to the guide filter coefficient to obtain a target image. The embodiments of the present application reduce the ASIC hardware cost, have a wider application range, improve the image recovery effect of the area where the color difference or color ratio is not constant, and improve the image quality of the target image.

This application relates to the field of visual retrieval technology, specifically to a method and system for visually and precisely locating and retrieving objects fallen into a well. The method includes: acquiring an image of the fallen object as the target image; determining the contour points of the target image based on the degree of circularity and grayscale; identifying abnormal contour points based on the gradient values ​​of the contour points moving away from the light source; and for different clusters, determining the light intensity attenuation coefficient by combining the dispersion and mean of the gradient values ​​with the distance to the abnormal contour points; determining the image difference contribution by the matching degree of adjacent images and the proportion of the light intensity attenuation coefficient; determining the deviation degree by the color ratio difference between the target image pixels and adjacent pixels, and then calculating a multidimensional noise interference index by combining the light intensity attenuation anomaly degree and the image difference contribution; enhancing the image using the multidimensional noise interference index, and identifying the fallen object to complete the retrieval. This application improves the denoising effect and detail preservation capability of images of fallen objects in wells.

The invention relates to an image frame processing method and device, a graphics processor and electronic equipment, and relates to the technical field of image processing. The method comprises the following steps: outputting a first image frame, wherein the first image frame comprises a first tile; after the first image frame is output, a second image frame is output, the second image frame comprises a second tile and a third tile, and the first tile in the first image frame and the second tile in the second image frame are at the same pixel position; wherein the color value of the pixel of the second tile, depending on the product of the color value of the pixel of the first tile and the check mask, the coloring ratio of the second tile is different from the coloring ratio of the third tile. Therefore, the visual quality of the image can be improved.

The application discloses an RGBW array color reconstruction method based on guided filter interpolation, and belongs to the fields of color imaging and image processing. The application realizes the method as follows: based on the color ratio law and the characteristics of guided filter in keeping image detail area, the gray correlation of the brightness channel W information and the RGB color image information is mined, the residual RI is combined with the minimum-Laplacian residual MLRI, and the appropriate iteration number is adaptively selected on each pixel for iteration; aiming at the spatial characteristics of the RGBW filter array, based on the smoothness of the residual, a residual interpolation algorithm with gradually improved sampling rate and pixel-by-pixel iteration is designed; the RGBW array color reconstruction is realized on the RGBW CFA mosaic image based on the guided filter interpolation, clear detail information can be restored, color aliasing and jaggy effect can be reduced, the RGB three-channel color image is obtained, the reconstructed image is more in line with the observation requirements of the human eye, and natural color imaging is realized.

The invention discloses a VDI picture abnormity identification method, system and device and a computer storage medium, and relates to the technical field of virtual desktops, a picture image displayed by a terminal is acquired, and the picture image comprises an image displayed by the terminal according to a VDI display protocol; normal images in the picture images are filtered out, and preliminarily screened images to be detected are obtained; pre-judging the type of the to-be-detected image to obtain a pre-judgment result; in response to the pre-judgment result representing that the to-be-detected image is a pure color, counting the color ratio of the to-be-detected image, and judging whether the terminal abnormally displays the pure color according to the color ratio; and processing the to-be-detected image through the AI model in response to the pre-judgment result representing that the to-be-detected image is the blurred screen, and judging whether the terminal abnormally displays the blurred screen or not according to the processing result. According to the invention, the normal image is prevented from being additionally identified, a targeted detection mode is provided for pure color screen detection and blurred screen detection, and the efficiency and accuracy of identifying the pure color screen and the blurred screen are improved.

Embodiments of the present application relate to the technical field of image processing, and provide a color recognition control method and system for pH test paper. The present application comprises: obtaining coordinate information of a test strip on the basis of position information of a sampling rod; sampling and liquid dropping: acquiring liquid dropping information on the basis of the coordinate information of the test strip and the position information of the sampling rod; adjusting the color ratio of a reference color block; obtaining color information on the basis of the color ratio and the liquid dropping information; and processing the color information by means of calculation to complete recognition control. The present application can improve the accuracy and robustness of a color recognition system.

The invention provides a defect image detection method and a defect image detection device, which are suitable for detecting an image to be detected, the image to be detected comprises a plurality of pixels, and the defect image detection method comprises the following steps: calculating an image center of the image to be detected; segmenting the to-be-detected image into a plurality of concentric geometric areas, wherein the center of each concentric geometric area is the center of the image; calculating a color proportion value of each pixel, and normalizing the color proportion value to obtain a normalized color proportion value; and judging that the normalized color proportion value of any pixel is greater than a color proportion threshold value, and marking any pixel.

The application discloses a flexible temperature and pressure sensor based on lensless imaging and a measuring method thereof, and belongs to the technical field of multi-modal flexible sensing. The sensor stack structure comprises an image sensor, a coding mask, a beam splitter, a transparent elastic pressure-sensitive layer, a thermochromic temperature-sensitive film and a top reflective layer in sequence. A side light source forms a normal illumination light path along the stack structure after being folded by the beam splitter. The illumination light is reflected by the reflective layer after penetrating the pressure-sensitive layer and the temperature-sensitive layer, and the light field carrying temperature and pressure modulation information is captured by the image sensor after being spatially encoded by the mask. The application adopts 0D perovskite (C16H20N2) SbBr5 as a temperature-sensitive material, effectively suppresses optical crosstalk noise by combining a differential background subtraction algorithm, extracts a spatial geometric deformation field and an RGB normalized color ratio of a coding pattern synchronously by double-branch preprocessing, and realizes high-precision orthogonal decoupling of temperature and pressure signals by combining global gray feedback closed-loop control. The application has the advantages of ultra-thin structure, flexible sensing layer and strong anti-interference capability, and is suitable for intelligent wearing and industrial curved surface monitoring.

The invention relates to a method for detecting perfuming uniformity of tobacco leaves and application of the method, and the method comprises the following steps: coating the tobacco leaves with a color developing agent, and collecting images of the tobacco leaves before and after coating; preprocessing of denoising and enhanced comparison is carried out on the image; converting the image from an RGB mode to an HSV or Lab mode, separating a color development area, and performing color space conversion; pixel-level binaryzation is carried out on the image, and threshold segmentation is carried out; carrying out hole filling and deburring on the image to realize morphological cleaning; extracting a developing pixel group from the image, and performing connected domain analysis; and taking the image of the tobacco leaves before coating as blank control, calculating the ratio of the number of color developing pixels to the number of main pixels to obtain the color developing proportion of the tobacco leaves, and judging the tobacco leaf flavoring uniformity according to the variable coefficient CV of the color developing proportion. According to the method, rapid, accurate, efficient, simple and convenient tobacco flavoring uniformity detection can be realized through chemical color development and image processing technologies.

The application discloses a multi-band selection method of an infrared detection system based on a color ratio, and belongs to the fields of infrared detection and identification technology and infrared optical system design. Since an infrared detection and identification system of a single band obtains a small amount of information, a target cannot be detected by an infrared detection system or detection accuracy is reduced, multi-band detection and identification is a development trend, but a multi-band selection theory of the infrared detection system is not mature at present. In view of the above problem, the application provides a multi-band selection method of an infrared detection system based on a color ratio. Under the premise of fully considering the influence of detector noise on detection and identification, a target identification model based on a color ratio is provided, and a multi-band selection model of an infrared detector is derived on the basis. The method is suitable for multi-band design of a spectral spectrometer or a filter wheel spectrometer system.

The invention discloses a portrait skin color recognition method suitable for real-time video image processing. The portrait skin color recognition method comprises the steps that skin color proportion eta skin calculation is carried out on each image pixel of a frame of image data; converting RGB data of the pixel data of the current image into XYZ data; converting XYZ data of the current image pixel data into LAB data; converting the LAB data of the current image pixel data into LCh data; determining a first scene ratio eta h of the pixel based on the LCH data of the current image pixel data; determining the maximum chromaticity C * max of the pixel based on the LCH data of the current image pixel data; determining a second scene ratio [eta] c of the pixel based on the chromaticity C * and the maximum chromaticity C * max in the LCH data of the current image pixel data; obtaining a final scene proportion eta scene of the current pixel based on the first scene proportion eta h and the second scene proportion eta c; the skin color proportion eta skin is 1-eta scene.

The invention discloses an intelligent color matching advertisement typesetting design auxiliary system, and belongs to the technical field of advertisement typesetting design. According to the method, the problems of low efficiency, high cost and uneven quality in the prior art are solved, color and emotion information in images and copywritings can be accurately extracted through image recognition and text analysis, and the color and emotion information is matched with data in a color database; a color matching scheme is scientifically evaluated based on a historical scheme and a design theory, and it is ensured that the scheme meets the standard in the aspects of visual contrast, color proportion and emotion consistency; by providing an interactive typesetting design interface and real-time operation evaluation, a user can intuitively perform typesetting operation and obtain immediate feedback and optimization suggestions, so that the efficiency and the quality of advertisement typesetting design are improved, the professionality and the aesthetic value of the design are improved, and the pertinence and the attraction of the design are ensured.

The invention discloses a resource file management method and device, equipment and a readable storage medium, and the method comprises the steps: obtaining an initial resource image in a resource file, and determining main color information with the highest color ratio in the initial resource image; determining a target resource image from the initial resource image based on the difference between the pixel value of the pixel point and the main color information; and processing the target resource image to obtain a processed target resource image to replace the initial resource image to obtain a target resource file. According to the method, the target resource image in which redundant pixels may exist in the initial resource image is determined by using the difference between the pixel values of the pixel points and the main color information, so that the target resource image is processed to obtain the optimized target resource file, the package volume of the resource file can be effectively reduced, and the user experience is improved.

The application discloses a soil image enhancement method based on brightness migration and local information fusion, and comprises the following steps: S1, fitting a V component of a soil image by using an asymmetric generalized Gaussian; S2, performing brightness migration on the fitted asymmetric generalized Gaussian curve to obtain a migration result of the V component of the soil image after brightness migration; S3, performing local brightness enhancement processing on the V component of the soil image to obtain an enhancement result of the V component of the soil image after local enhancement; S4, fusing the migration result of the V component of the soil image and the enhancement result of the V component of the soil image to obtain a fused V component of the soil image; and S5, processing the fused V component of the soil image according to a color ratio invariability principle to obtain an RGB image after color recovery and enhancement. The application can realize high-precision brightness migration, has high enhancement precision for controllable brightness of the soil image, and the enhanced image is close to a target image collected in a real environment.

The application provides a camera module calibration method, a calibration device, a scanning device and a storage medium. The method comprises: capturing a color object using the camera module to generate a first image; determining a first position of the first image in a color ratio space based on a plurality of ratios related to color channels of the first image, wherein the color ratio space has a plurality of standard samples, each of which is located at a different position in the color ratio space and is corrected to exhibit the same color effect; and determining a first color correction parameter of the camera module based on a spatial relationship between the first position and the position of at least one of the standard samples. The above method can improve the calibration efficiency of the camera module.

A method, apparatus, and a non-transitory computer-readable medium storing program code for anti-aliasing images may be provided. The method may include obtaining a first edge pixel of an image in a high-dynamic range (HDR) space and determining a first scaling factor based on a local brightness environment of the first edge pixel. The method may also include determining a color ratio corresponding with the first edge pixel and scaling the color ratio to obtain a first color ratio. Then the first color value is obtained based on a color value of the first edge pixel, a color value of a target pixel, and the first color ratio, wherein the target pixel has a large color value difference from the first edge pixel among a plurality of surrounding pixels of the first edge pixel; and updating the first color value to the color value of the first edge pixel.

Techniques are disclosed for performing an image sensor profiling process and accompanying architecture that facilitates performing an image quality measurement over a range of different parameters such as light levels, exposure values, contrast targets, confidence intervals, color ratios, temperature, etc. An image sensor profile may then be generated from these measurements includes an image sensor performance profile dataset. This dataset provides contrast detection probability (CDP) measurement data over a full range of operating parameters of the image sensor. The image sensor performance profile dataset may quantify the image quality and performance for a full range of operation. The image sensor performance profile dataset may be implemented to generate an image sensor model, which may be deployed in a vehicle and used to modify the functions thereof during operation.

The invention relates to the technical field of 3D HMI automatic testing, in particular to a 3D HMI automatic testing method based on an AI video stream and frame-by-frame comparison, which comprises the following steps: acquiring picture and video data of a tested 3D HMI through an industrial camera or an ADB, carrying out denoising, enhancement and decoding preprocessing, identifying 3D features and objects by using an adaptive algorithm and a training model of an AI video stream processing unit, and carrying out automatic testing on the 3D HMI. The image recognition module quantifies the color ratio to verify the skin rendering effect, and the video frame-by-frame comparison unit aligns frames and sets a threshold value to evaluate the dynamic content; mechanical arm operation and bus data are fused, and operation-display-response full-link closed-loop testing is achieved; the method solves the problems of misjudgment and large errors of traditional image comparison in 3D and dynamic scenes, has remarkable advantages in dynamic interaction, space verification and anti-interference capability, is suitable for complex scenes such as vehicle-mounted instruments and the like, and remarkably improves the test precision and efficiency.

An image sensor is provided. The image sensor includes: pixel groups; a readout circuit configured to output full pixel values respectively corresponding to the pixel groups and sub pixel values respectively corresponding to the pixel groups, wherein a full pixel value is generated based on pixel signals of all pixels in a first pixel group, and a sub pixel value is generated based on some of the pixel signals in the first pixel group; and an image signal processor configured to: generate, based on the full pixel value indicating the first pixel group is a saturation pixel group, a color ratio of the saturation pixel group by using a target sub pixel value corresponding to the saturation pixel group; and compensate for the full pixel value of the saturation pixel group based on the color ratio of the saturation pixel group.

To provide a visualization system (1) that is tolerant of manufacturing-related variations in sensor-acquired signal intensities, a method for setting up this visualization system (1) is proposed. This method includes an optical in-situ calibration measurement in which calibration data (30) are sensorially acquired using at least one image sensor (4) of the visualization system (1) during a respective optical calibration measurement. Based on these stored calibration data (30), the visualization system (1) can generate modified color channel signal values ​​that are compensated for in such a way that the manufacturing-related variations no longer lead to a distortion of color ratios calculated from the modified color channel signal values.This approach according to the invention thus enables high accuracy of the signal values ​​and color ratios, especially in multispectral imaging.

This application discloses a method for full-gamut structural color prediction and reproduction based on multi-level micro / nano structures. The method first establishes a multi-dimensional mapping relationship between the proportion of structural color primaries and the spectral reflectance of the predicted color. Then, it constructs a forward model for structural color prediction and a reverse model for structural color ratio prediction, achieving full-gamut color prediction and reproduction for any color and any tone. This is the first of its kind in the field of structural color research and has broad application prospects.

The present invention relates to an apparatus for color blending, and comprises: a memory for storing computer-executable instructions; and at least one processor for accessing the memory and executing the instructions. The at least one processor: receives an output request for blending information about a target color; expresses the target color in response to the output request to acquire reference blending information about a reference product in which the blending information about the target color is predetermined; and outputs target blending information about the target product on the basis of the reference blending information and a predetermined color ratio model between the reference product and the target product.

The invention provides a color calibration method and system applied to RGBW lamp beads. The color calibration method comprises the following steps that S1, XYZ chromaticity coordinate parameters of original RGBW lamp beads and XYZ chromaticity coordinate parameters of target colors are obtained; s2, on the basis of the light source color mixing relation of the original RGBW lamp beads, the adjustable range of the light source color ratio K value between the target color and the original RGBW lamp beads is obtained through calculation; s3, in the adjustable range of the light source color proportion K value, selecting a target proportion adjustment coefficient Kscan, and calculating a mixed calibration color of the original RGBW lamp bead after adjustment under the target proportion adjustment coefficient Kscan; and S4, repeating the steps S1 to S3, and carrying out iterative adjustment on the light source color of the RGBW lamp bead until the difference between the light source color of the RGBW lamp bead and the target color is lower than a color difference threshold.