63 results about "Color ratio" patented technology

The invention provides a lens shielding detection method, image acquisition equipment and a storage medium. The method comprises the following steps: segmenting a target image to obtain at least two block images; each block image has the same size and shape; obtaining the regional high-frequency confidence degree of each block image corresponding to the predetermined three components; obtaining a region bright color ratio corresponding to each block image; the regional bright color ratio is the ratio of pixel points with the brightness greater than the preset brightness in the block image; obtaining a region motion probability corresponding to each block image; the region motion probability is color brightness change in the block image; according to the current region high-frequency confidence coefficient, the historical region high-frequency confidence coefficient, the region bright color duty ratio and the region motion probability, the region shielding probability is obtained through calculation; and determining a lens shielding state according to the region shielding probabilities corresponding to the plurality of block images. The accuracy of detecting whether the lens is shielded or not can be improved.

Apparatuses, systems, and techniques to receive, at a processor associated with an image signal processing (ISP) pipeline, a target image captured using a sensor at a first bit-depth associated with the sensor, where the ISP pipeline is associated with a second bit-depth; apply one or more dynamic range compression operations to brightness values associated with the target image to obtain compressed brightness values; determine brightness gain values using the brightness values and the compressed brightness values; apply the brightness gain values to each color channel of respective pixels of the target image to obtain a compressed target image such that a color ratio of the compressed target image is preserved; and adjust a color correction matrix (CCM) associated with the ISP pipeline using the compressed target image.

The invention provides an implementation method, device and system based on image color extraction and migration and a medium, and the method comprises the steps: obtaining material images with the same theme, and carrying out the preprocessing of the material images, and obtaining a color matching scheme; extracting a typical color ratio of the target image through an algorithm; generating a plurality of color matching scheme diagrams according to the color matching schemes and the typical color proportions; acquiring color features of the plurality of color scheme images, and migrating the plurality of color features to the target image to form a plurality of color feature images; and selecting a qualified color feature image according to the color quality index. According to the invention, the typical color distribution of the target image is acquired to carry out color migration, and then the color feature image meeting the standard is selected, so that the original color features of the target image are reserved, and the consistency of the color style of the product is ensured.

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 e an image sensor for improving image quality by compensating for full pixel values of a saturation pixel group, and an image processing apparatus.SOLUTION: An image sensor includes an image signal processor that performs image processing on full pixel values generated based on pixel signals of all pixels respectively included in a plurality of pixel groups. The image signal processor generates a color ratio of a saturation pixel group by using a target sub pixel value corresponding to the saturation pixel group having a saturated full pixel value, and compensates for the full pixel value of the saturation pixel group based on the color ratio of the saturation pixel group.SELECTED DRAWING: Figure 1

The invention discloses an abnormal traffic sign diagnosis method based on image processing, and the method comprises the steps: carrying out the preprocessing and data expansion of a traffic sign image through employing a Gaussian filtering algorithm, carrying out the manual marking of the traffic sign image, predicting the exact position of a traffic sign through employing a rotating target detection algorithm with a model main body being R3det, and carrying out the recognition of the traffic sign. Calculating a rotation angle of the traffic sign, cutting an output result by utilizing feature mapping, carrying out color clustering on the cutting result, outputting a color proportion and color feature information, and judging whether the traffic sign has chromatic aberration by comparing the color proportion with the color feature information; the traffic sign can be automatically detected and identified, traffic sign judgment including inclination diagnosis and chromatic aberration diagnosis can be completed in real time, the inclination diagnosis can judge whether the traffic sign is perpendicular to the horizontal plane or not, the chromatic aberration diagnosis can well quantify the color characteristics of the traffic sign, and a set of standards is provided for chromatic aberration problem diagnosis of the traffic sign.

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 long-distance fire behavior automatic detection and early warning method, a monitoring system and equipment. The long-distance fire behavior automatic detection and early warning method comprises the following steps that whether a suspected fire point target exists or not is judged based on a collected first image of a preset position point; if yes, collecting a second image of the preset position point in the first imaging waveband and a third image of the preset position point in the second imaging waveband; calculating the two-color ratio of the first imaging band to the second imaging band of the target position based on the second image and the third image; and judging whether a fire exists at the target position based on the calculated two-color ratio. Whether a suspected fire point target exists at the preset position point can be preliminarily judged through the collected first image, whether a fire behavior exists can be further determined through double-color ratio calculation and logic judgment of the first imaging waveband and the second imaging waveband, false alarms in a natural scene are effectively eliminated, the fire point automatic detection efficiency is improved, and the fire detection efficiency is improved. The technical problems of high false alarm and easy false alarm in the prior art are solved.

The utility model discloses a customized decoration interaction system, which is characterized by comprising a panel, four paint bottles filled with paint of four primary colors are arranged on the panel, each paint bottle is mounted on the panel and is provided with an extending branch pipe, each branch pipe is converged into a main pipe, the main pipe is connected into a mixing bottle, and the mixing bottle is connected with the panel. The mixing bottle is communicated with the nozzle or the drainage pipe in a switching mode through the switching valve, a sample plate is arranged below the nozzle, an opening button and a stop button are further arranged to control the paint bottles to convey paint to the main pipe, and the input quantity of each paint bottle is controlled by a rotary knob arranged on the panel. According to the scheme, the problem that traditional means such as a color card lacks interaction is solved, the customer can master the color ratio by himself / herself, and the effect of improving customer satisfaction and interaction efficiency is achieved.

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 invention discloses a light distribution design method, device and equipment for a light-emitting bumper and a readable storage medium, and relates to the field of vehicles. The light-emitting bumper is sprayed with target colored paint with the same color as a whole vehicle, and a light-shielding primer layer of the light-emitting bumper has a laser engraving area; determining a compensated target three-primary-color ratio according to the three-primary-color ratio corresponding to the original white light and the original three-primary-color ratio of the light-emitting bumper light source under the target colored paint before compensation; determining compensated target brightness based on the light transmittance of the target colored paint and a brightness threshold; the number of target lamp beads needing to be arranged in the laser engraving area is calculated according to the area of the laser engraving area, the target brightness and the included angle and distance between the light source and the light-emitting bumper; determining a target color coordinate of the light source according to the target brightness, the target three-primary color proportion and the target lamp bead number; and the light source is controlled based on the target brightness and the target color coordinates, so that the light-emitting bumper emits pure white light, the same color of the whole vehicle body can be achieved when the vehicle body is not lightened, and the light color requirement of the national standard for lightening is met.

The invention relates to the technical field of color matching devices, in particular to an intelligent color matching device. Which comprises a spraying gun body, the spraying gun body drives a pressurizing valve through a trigger, and a conical spraying head is arranged at the output end of the spraying gun body, and is characterized in that a containing cylinder is connected to the bottom end of the spraying gun body in a fastened mode, and a plurality of coating storage tanks are connected into the containing cylinder in a fastened and clamped mode; the multiple coating storage tanks are communicated with a break-through type multi-way electromagnetic valve through multiple independent coating channels, the top end of the break-through type multi-way electromagnetic valve is communicated with a conical spray head through a Y-shaped discharging hose, the other end of the Y-shaped discharging hose is communicated with the output end of a pressurizing valve, and color recognition sensors are arranged on the two sides of the conical spray head. The invention aims to solve the technical problems that the color precision and stability are poor, and the required color ratio cannot be quickly and accurately prepared.

The invention discloses a color continuous tone image method and system based on a laser-induced micro-nano structure, and belongs to the field of micro-nano structure manufacturing, and the method comprises the steps: carrying out the line-by-line traversal of each pixel in a color continuous tone image, obtaining a primary color proportion, and mapping the primary color proportion to a coloring position map; based on the spectral energy information of each color in the color continuous tone image, determining the basic weight of each color in the coloring position map through spectral energy normalization; dynamically adjusting the basic weight by using the distribution relation of the color proportion of each pixel to obtain a new distribution relation, and outputting a color continuous tone image; and inputting the color continuous tone image into laser equipment, generating a micro-nano structure on the surface of the substrate, and reproducing the color continuous tone image. According to the method, the weight is dynamically adjusted according to the color proportion of the pixels, the tone and tone continuity is improved, a complex color continuous tone image is reproduced on the stainless steel surface through the laser-induced micro-nano structure, and richer color types and tone levels are achieved.

The embodiment of the invention provides an image color temperature determination method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining a target image; extracting color information of each theme color included in the target image; wherein the color information comprises a theme color value and a theme color proportion; determining a color temperature value corresponding to each theme color based on a color temperature table; and determining the overall color temperature value of the target image according to the color temperature value of each theme color and the theme color ratio. According to the technical scheme, the theme color ratio and the color temperature value corresponding to each theme color included in the whole image are fully considered to accurately quantify the color temperature of the whole image, so that a designer can be effectively helped to accurately determine the color temperature system of the image according to the color temperature value corresponding to the whole image, and standardization adjustment on the saturation and the brightness of the image is facilitated; the purpose of attracting human eyeballs is achieved.

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.

The present invention relates to a method for virtual staining of hyperspectral images of unstained slices, so as to solve the technical problems of insufficient texture information representation and inaccurate virtual staining in the current virtual staining methods of unstained slices. The method comprises: 1. acquiring and storing multiple sets of hyperspectral raw data; 2. data preprocessing to acquire hyperspectral data; 3. the hyperspectral data of unstained slices constitutes an experimental data set, and k clustering centers are selected according to the experimental data set so that the color similarity between the preliminary pseudo-color image under the k value and the hyperspectral image of the stained slice is the highest; 4. acquiring the optimal preliminary pseudo-color image; 5. acquiring the standard color matching ratio; 6. synthesizing the final pseudo-color image of the unstained slice of the tissue sample to be tested with the single spectrum image of the microstructure to acquire the hyperspectral virtual staining image of the unstained slice of the tissue sample to be tested. The method provided by the present invention is conducive to extracting more accurate hyperspectral data structure texture information.

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.

An image processing device includes a memory for storing reference color ratios and crosstalk values of each of light source images acquired by sensing light sources having different wavelengths. The image processing device also includes a processor for receiving an image including a plurality of regions each including outer pixel values and inner pixel values of the same color, and correcting the outer pixel values or the inner pixel values by using difference values between the respective reference color ratios and a color ratio of the image as weights of the crosstalk values.

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.

Disclosed is an automatic color matching configuration method and device for marble, where the method includes the following steps: obtaining a to-be-repaired image of to-be-repaired marble for image recognition to determine a to-be-repaired contour in the to-be-repaired image; extending outward a preset distance along the to-be-repaired contour to generate a reference contour, and determining an area between the reference contour and the to-be-repaired contour as a reference area; filling a base coating into a to-be-repaired area in the to-be-repaired contour to form an initial base coat; determining a base pixel value based on a color ratio of the reference area, and performing base color matching on the initial base coat based on the base pixel value to obtain a current base coat.

The present application relates to an endoscope color tone correction method, device, adjustment equipment, and endoscope system. By obtaining a target color ratio associated with the target light to be irradiated, obtaining the first light output power of each color to be controlled according to the target color ratio, determining the second light output power of each color to be controlled based on the first light output power and the correction coefficient of each color to be controlled by the endoscope, and controlling the light sources corresponding to each color to be controlled in the light source host to emit light based on the second light output power, so that the ratio between each color to be controlled in the irradiation light emitted from the endoscope meets the requirements of the target color ratio. In view of the attenuation of different color lights by the endoscope, the present application adjusts the power of each light in the light source host to achieve compensation for the power of each light, ensuring that the ratio between each color to be controlled in the irradiation light emitted from the endoscope meets the requirements of the target color ratio, thereby achieving precise adjustment of the light output color tone.

The present invention discloses a cervical fluorescence image processing and analysis method, system, and storage medium. The method includes: after acquiring a cervical fluorescence image, extracting the three primary color values ​​of each pixel therein, and generating multiple color ratio matrices of the cervical fluorescence image based on the three primary color values ​​of each pixel; then, based on each color ratio matrix, performing a preliminary analysis of the cervical fluorescence image to determine whether there are abnormal areas in the cervical fluorescence image; if so, extracting the abnormal area image from the cervical fluorescence image and converting the abnormal area image into a cervical grayscale image; then, identifying the cervical grayscale image based on a preset recognition model to obtain a final recognition result. Through a two-stage detection and recognition mechanism, the present invention rapidly screens out normal cervical fluorescence images while performing more detailed and comprehensive image recognition on initially abnormal cervical fluorescence images using a preset recognition model trained by a convolutional neural network, thereby achieving accurate and efficient analysis of cervical fluorescence images.

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 present application discloses an anti-aliasing method, device, equipment, medium and program product for an image, which belongs to the field of image rendering. The method comprises: obtaining the first edge pixel of the image in the HDR space; generating a first scaling factor according to the local brightness environment where the first edge pixel is located; generating a color ratio to be processed according to the brightness values ​​of multiple pixels in the image block where the first edge pixel is located; scaling the color ratio to be processed based on the first scaling factor to obtain a first color ratio; mixing the first color value according to the color value of the first edge pixel and the color value of the target pixel in combination with the first color ratio; updating the first color value to the color value of the first edge pixel. The above scheme solves the contradiction between the clarity of image details and the anti-aliasing effect of the highlight area under the detail anti-aliasing branch.