46 results about "Color target" patented technology

The invention discloses a printing color closed-loop control system based on spectral analysis, and relates to the technical field of computer processing, and the system comprises the following steps: S01, collecting the spectral reflectivity data of a plurality of key color blocks on a printed matter measurement and control strip in real time through an online high-speed spectrometer at the frequency of not less than 100 color blocks per second; s02, constructing a color prediction model, wherein the model receives the spectral reflectivity data and outputs absorption scattering characteristics, the spectral transmittance of ink and dot expansion, trapping and overprinting effects in the printing process; s03, setting a dynamic tolerance threshold value delta Et based on a chromatic aberration formula according to the color precision requirement of the printed matter, and judging the absorption and scattering characteristics, the spectral transmittance of the ink and a grading tolerance interval in which the dot expansion, trapping and overprinting effects in the printing process are consistent with visual perception; and S04, converting the spectral reflectivity data acquired in real time into a CIELAB color space irrelevant to equipment, and comparing the spectral reflectivity data with a preset standard color target value. According to the method, the problems of different standards and color drift caused by artificial experience difference and visual fatigue are solved.

A spatial illumination or lighting system based on a light color target has a control device and an actuating device, wherein the control device is configured to interact with a user and communicates with the actuating device, the control device receives identity identification information about the illuminated object input by the user, detects real-time light color data of the object and feeds the detection result back to the user, and sends the identity identification information about the object, the detection result and the light color target to the actuating device. The actuating device is arranged in the space or place, configured to communicate with the control device and implement lighting for the illuminated object: it receives the identification information, the detection result and the light color target of the object, calculates a comprehensive adjustment parameter corresponding to the object, and illuminates the object to achieve the desired light color target.

This invention provides a method and apparatus for 3D tooth reconstruction based on multi-view geometric priors and specular Gaussian representation. The method first acquires multi-view image data containing teeth and gingiva. A multi-view geometric estimation module predicts and globally aligns dense 3D point maps to obtain an initial point cloud, camera intrinsic and extrinsic parameters, and a depth map. Based on this, a Gaussian primitive set is initialized and input into a specular Gaussian reconstruction module, where relevant parameters are combined to optimize the reconstruction. This module introduces depth and normal losses based on the color target, supervises and reduces the weight of highlight regions within the region of interest, and finally outputs the 3D reconstruction result. This invention can improve the stability and geometric accuracy of tooth reconstruction under high reflectivity and weak texture, enhance specular reflection and highlight expression capabilities, and balance the detailed reconstruction of tooth hard tissue with the geometric and appearance effects of gingival soft tissue, thereby improving the integrity of oral scene reconstruction and its clinical application value.

The present invention discloses a spatial vision positioning method based on the design of a two-color rectangular target. The method includes: designing a two-color rectangular target pattern; performing recognition processing on the two-color rectangular target pattern by the contour corner point ellipse extraction method to obtain the target rectangular corner points in the two-color rectangular target pattern; based on the target rectangular corner points in the two-color rectangular target pattern, performing global numbering positioning processing by the sorting corner point numbering method to obtain the spatial positioning of the two-color rectangular target. The present invention can meet the requirements of spatial positioning and long-distance positioning with the help of the target in a dark environment through a simple target pattern composed of two-color target rectangles. As a spatial vision positioning method based on the design of a two-color rectangular target, the present invention can be widely applied to the field of machine vision technology.

The present invention relates to image projection and provides a method and system for performing color calibration of light sources and correction towards a color target, for example a whitepoint target. The calibration and correction considers the ambient temperature and that the projector output has an arbitrary dimming level. The correction can be made automatic and can be performed by an operator in the field by pressing a button.

The application provides a single-photon multi-wavelength imaging system and method based on a physical driving model, and belongs to the technical field of single-pixel multi-wavelength imaging; the application solves the problems of being easily affected by noise and poor imaging quality of existing single-photon multi-wavelength imaging schemes in extreme environments; the application comprises a multi-wavelength modulation illumination module, a spatial modulation coding module and a detection imaging module; the multi-wavelength modulation illumination module uses signal light with different modulation repetition frequencies to illuminate a color target object and scatter the color target object to the spatial modulation coding module; the spatial modulation coding module spatially encodes the color target object and transmits the color target object to the detection imaging module; the detection imaging module captures the modulation signal light and transmits the modulation signal light to a computer; a physical driving model program is prewritten in the computer; the physical driving model comprises a measurement value denoising module and a physical driving image reconstruction module; and finally, a high-quality color target object reconstruction image is obtained; the application is applied to photon imaging.

The application discloses a kind of symmetric narrow-band spectral image driven multi-primary color display method and device, it is related to color image display technical field, method includes: based on the spectral reflectivity of target to be photographed calculation three stimulus value;Based on the spectral transmittance of any channel in the narrow-band spectral camera to be used, the spectral emission power of corresponding primary color channel in the multi-primary color display screen to be used and the spectral reflectivity of target to be photographed, the three stimulus value of color output by the multi-primary color display screen to be used is calculated;According to the three stimulus value of target to be photographed and the three stimulus value of color output by the multi-primary color display screen to be used, color difference data is calculated;Based on color difference data, the center wavelength and bandwidth of any channel in the narrow-band spectral camera to be used are adjusted;Image shooting is carried out to target to be photographed by the adjusted narrow-band spectral camera to be used, and the image obtained by shooting is used as the driving image of the multi-primary color display screen to be used, to obtain target color display image.The application improves the accuracy of color reproduction of color target scene.

The invention relates to the technical field of intelligent pen identification, and discloses an identification method for an infrared intelligent pen, the method is applied to a touch screen, and the method comprises the following steps: receiving a plurality of infrared signals carrying an intelligent pen identifier sent by a plurality of infrared intelligent pens, and obtaining a plurality of touch tracks; determining the color of the target infrared smart pen according to the smart pen identifier of the target infrared smart pen; the target infrared intelligent pen is any one of a plurality of infrared intelligent pens; according to the receiving sequence of the infrared signals and the obtaining sequence of the touch tracks, the touch track of the target infrared intelligent pen is determined, and the touch track is displayed according to the corresponding color. According to the method, the color of each infrared intelligent pen can be determined according to the intelligent pen identifier of each infrared intelligent pen, and the touch track corresponding to each infrared intelligent pen is determined, so that the corresponding color is displayed. The invention further discloses a recognition device and equipment for the infrared intelligent pen and a storage medium.

This invention proposes a slow, small target trajectory detection method based on multi-frame coloring in a reverberant background. It employs the GMM or RPCA method, and obtains a spliced ​​tensor through direct or selective splicing. The spliced ​​tensor is then colorized to obtain a colored trajectory detection result. This invention utilizes the inter-frame positional migration continuity of slow, small targets, the inter-frame positional randomness of dynamic reverberation, and the inter-frame positional invariance of static reverberation to detect continuous target trajectories. In the detection results, static and dynamic reverberation are colored with a single color, and the continuous target trajectory is represented by color gradient stripes. The basic principles and implementation scheme of this invention have been verified through synthetic data processing results. The results show that, compared with traditional methods, the proposed colored trajectory detection method fully utilizes the frame-domain differences between slow, small target trajectories and dynamic and static reverberation, resulting in better continuous trajectory detection performance.

The invention relates to the technical field of oral medicine, and particularly provides a method, device, medium and equipment for preparing a gingival shade guide, and the method can comprise the following steps: clustering color data sets measured at gingival color measurement positions of different objects to obtain a plurality of color clusters; wherein the color data set comprises color data of a plurality of data points; the color data comprises a plurality of dimension values; determining a color target of each color cluster in the plurality of color clusters; screening a candidate cluster set according with a preset coverage rate from the plurality of color clusters; inputting the color target of each candidate cluster in the candidate cluster set into a pre-trained color prediction model to obtain a preparation formula; the preparation formula is used for preparing the gingival shade guide. According to the embodiment of the invention, the preparation accuracy of the gingival shade guide can be improved.

The application relates to the technical field of welding detection, in particular to a BGA substrate electronic component welding detection method and system, which comprises the following steps: acquiring a color target image and performing color space conversion on the color target image, extracting a brightness component and a chrominance component; calculating a color difference value of the BGA substrate in the color target image compared with a standard BGA substrate based on the brightness component and the chrominance component; adjusting a standard threshold corresponding to the standard BGA substrate based on the color difference value to obtain an adaptive threshold corresponding to the BGA substrate in the color target image; extracting the electronic component welding position in the color target image by using the adaptive threshold corresponding to the BGA substrate in the color target image, detecting the welding position, and outputting a detection result. The application can accurately separate the red electronic component welding area from the blue substrate background in the case that the substrate has color difference, so that the stability and reliability of the welding position detection are maintained.

The present invention relates to a circuit for realizing automatic color gradient of RGB three-primary color LED lamp, which is simple to realize and has low power consumption. In the realization process, the main control chip only needs to write registers to the circuit to set the starting color, target color and gradient duration, and enable the color gradient function. The circuit can automatically calculate according to the settings to realize automatic, linear and delicate color gradient effect, without occupying the main control chip (MCU) resources for a long time, and greatly reducing the power consumption of the system. Moreover, the color gradient circuit of the present invention can be integrated into the LED driver chip, thereby greatly simplifying the difficulty of system-level lighting effect design.

The embodiments of the present application provide a stain detection method, device, electronic device, and robot vacuum system, relating to the field of image processing technology. The method comprises: obtaining an image to be detected containing the ground; grouping each pixel in the image to be detected based on the similarity between the target attributes of the pixels to obtain a segmented image; wherein pixels belonging to different groups in the segmented image are marked with different colors; the target attribute includes the color value of the pixel; based on the difference between the pixel values of each pixel in the segmented image, determining the edge of an object in the segmented image; and when the edge of an object determined meets a preset stain edge feature, determining that a stain exists on the ground corresponding to the object. In this way, the complexity of using the robot vacuum can be reduced, and the storage space occupied by the robot vacuum can be reduced.

A mobile phone accessory (1) to be associated with a smartphone, comprising: a support and handling housing having an interior space (11a), an interior face (13a), an aperture (16) to be associated with an AOI target and located within a light entry point (15), and a rear wall portion (14b); an illumination member (22) having an axis (22a) and for generating light to illuminate said point (15); a camera field of view (19) having an axis (19a) and for taking a reflected photograph of said point (15) and its contents; a diffuser plate (27) having a center (19aa) and a center (19b) (22aa) having a scattering opening (30); color targets, which are N suitable color measurement targets (17) sufficient to allow accurate measurement of the color of the AIO target, are selected to have limited colors within a narrow color gamut representing the entire AOI target color range and together form a color measurement unit (17a), the point (15) is seen through the scattering opening (30), and the N color measurement targets (17) are located in the internal space (11a) and fixed on the inner surface (13a) of the front wall portion (14a) with the measurement hole (16) on the side.

The present invention relates to image projection and provides a method and system for performing color calibration of light sources and correction towards a color target, for example a whitepoint target. The calibration and correction considers the ambient temperature and that the projector output has an arbitrary dimming level. The correction can be made automatic and can be performed by an operator in the field by pressing a button.

The invention provides a target color identification and out-of-control control method for an unmanned aerial vehicle, and belongs to the technical field of unmanned aerial vehicles. The method comprises the following steps: identifying a static color target through an HSV color space model and a threshold segmentation algorithm; executing an impact task on the color target by using an unmanned aerial vehicle propeller; performing failure detection on the unmanned aerial vehicle after the task is completed; and determining an unmanned aerial vehicle control strategy according to the failure detection result. According to the method, an image collected by an unmanned aerial vehicle is converted into an HSV (hue, saturation and value) space after being pre-processed, and a color area of a target is segmented through preset hue, saturation and brightness thresholds; and the target potential identification accuracy is improved. The failure detection result of the unmanned aerial vehicle is firstly judged, the control strategy after failure is determined according to the failure detection result, stable landing of the unmanned aerial vehicle is achieved, and damage to the unmanned aerial vehicle is reduced.

The present invention discloses a method, system, and device for injecting contraband images based on X-ray pseudo-color images. The method comprises the following steps: S1, obtaining an X-ray pseudo-color target image of contraband and an X-ray pseudo-color source image that does not contain contraband; S2, using a fusion method guided by a mixed gradient vector field to fuse the target image with the source image in a fusion region and at the boundary of the fusion region, thereby obtaining a first fused image containing the contraband; S3, using a fusion method guided by the material of the contraband to fuse the target image with the source image in the fusion region, thereby obtaining a second fused image containing the contraband; and S4, performing a secondary fusion of the first fused image with the second fused image in the fusion region and near the boundary, thereby obtaining a final fused image containing the contraband. This method not only effectively addresses edge and overall hue issues after image synthesis, but also significantly reduces traces of X-ray pseudo-color contraband injection.

The invention discloses a gradient color rapid matching method and device, equipment and a storage medium, and relates to the technical field of image processing. The method comprises the following steps: adjusting an original highest color value and an original lowest color value of a to-be-processed gradient color block in an original image, and obtaining a first gradient color target map; printing the first gradient color target map to obtain a second gradient color target map; comparing the to-be-processed gradient color block with the second gradient color target map to obtain a replacement gradient color block with the printing effect closest to the to-be-processed gradient color block; and adjusting the color value corresponding to the to-be-processed gradient color block according to the color value of the replaced gradient color block, thereby ensuring that the color effect of the gradient color block part image in the subsequent printing image is consistent with that of the to-be-processed gradient color block image part in the original image. According to the method, the color value does not need to be repeatedly modified or adjusted, only one-time printing adjustment is needed, the method is simple and rapid, the gradual change color reduction effect is good, and the color effect is highly matched with the color effect of the gradual change part in the original image.

The application discloses a display panel brightness compensation method, a display panel brightness compensation device and a display device. The display panel brightness compensation method comprises the following steps: acquiring brightness data of a white picture of a preset gray scale and brightness data of a single-color picture of a binding point gray scale of a display panel after voltage drop compensation; performing partition processing on the brightness data of the white picture to determine a white light brightness change trend of the display panel after voltage drop compensation, and performing partition processing on the brightness data of the single-color picture to determine a single-color light brightness change trend of the display panel after voltage drop compensation; comparing the white light brightness change trend after voltage drop compensation with the single-color light brightness change trend to determine single-color target brightness of the binding point gray scale of each display partition of the display panel; and performing brightness compensation on sub-pixels of corresponding colors in each display partition according to the single-color target brightness of the binding point gray scale of each display partition. The technical scheme provided by the application improves the display effect of the display panel.

A stain deconvolution method and system employing a depth image priori based neural network structure and associated training schemes are disclosed. An example stain deconvolution network employs an autoencoder network to generate a stain concentration map of a plurality of stains associated with a color target image without training based on a large reference image dataset. The stain deconvolution network is trained using a loss function that facilitates correct image generation and separation between the stain concentration maps generated by the autoencoder network. The depth image priori-based stain deconvolution network may be configured to encode an adapted physical model that includes a set of parameters that model background illumination and non-linear dependency of absorption on concentration and wavelength. This example method of stain deconvolution, which may be performed without previous training data, may thus be generalized to accommodate multiple stains and previously uncharacterized stain types, and may be expanded to perform stain normalization.

A method (and system) for obtaining an adaptive calibration transform for whole slide imaging is provided, where the adaptive calibration transform is used to output the color of the blank area of the slide in the whole slide image (WSI) as the desired color. The method includes first receiving a WSI of a color target in a device - dependent color space, where the WSI of the color target is from a scanner represented in the device - dependent color space. The color target includes at least one white color patch and three (near) primary color patches. A calibration transform is obtained for transforming the device - dependent color space to a device - independent color space. A chromaticity adaptation transform is derived using the color of the white color patch in the device - dependent color space, the color of the blank (glass) area in the device - independent color space, and the desired blank (glass) color in the target color space. The adaptive calibration transform is obtained by applying the chromaticity adaptation transform to the calibration transform.

The invention provides an image processing method and device, electronic equipment and a readable storage medium, and the method is applied to ink screen equipment, and comprises the steps: obtaining a to-be-processed image, and determining the initial color of each pixel; for any target pixel, determining a target color of the target pixel based on the initial color of the target pixel and each candidate color of the ink screen device; determining a target error propagation pixel of the target pixel based on the initial color of the candidate error propagation pixel of the target pixel and a target color spatial distance threshold of the ink screen device; updating the initial color of the target error propagation pixel based on the initial color of the target pixel, the target color and a preset image dithering algorithm; and traversing each pixel in the to-be-processed image to obtain a target color of each pixel, and generating a to-be-displayed image. Thus, in the image dithering error diffusion process, the error propagation pixels are limited through the target color space distance threshold, and the boundary noise points of the generated image can be reduced.

The present invention provides a method for testing the working status of a visual sensor. The visual sensor has a light source, and the testing steps are as follows: the light source can project any two or three colors of three primary colors; the color of a color target is the same as the color of the light projected by the light source; a target image captured by a camera is marked as a target image I; or the color targets are of multiple different colors, the camera has two or more targets, and the target image captured by the camera is marked as a target image II; a processor processes the received target image I to determine whether the color of the light projected by the light source is the same as a preset color; or the processor processes the received target image II to determine whether the working camera is a preset camera; the entire testing process does not require a tester to monitor the sensor status, and only requires operating a host computer to perform data information comparison, so the testing process is simple, efficient, and highly accurate.

The present application discloses a laser projection device, comprising a light source for irradiating four colors of light onto a light valve; the light valve is configured to sequentially receive the irradiation of the aforementioned colors of light; a driving circuit for receiving an image signal for a projected image, the image signal comprising a first color initial value, a second color initial value, and a third color initial value for each pixel in the projected image; and the driving circuit is further configured to determine four color target values ​​for each pixel based on the initial values ​​of the three colors of each pixel, wherein the fourth color target value is determined by the first color initial value and the second color initial value; and the driving circuit is further configured to control the flipping of the light valve based on the color of the light irradiated by the light source onto the light valve and the four color target values ​​of the pixel. Because the present application can increase the color light generated by the light source and integrate the increased color light generated by the light source into the displayed projected image, the brightness of the displayed image is improved.

The present invention provides an interpolation method for obtaining the actual distribution of color gamut in thermal printing, comprising the following steps: receiving a color target output by a printing device; scanning the color target, recording the CMY data of each color block in the color target and any color space data other than the CMY data; classifying the color blocks of the color target based on the CMY data according to preset conditions; sorting the color blocks of each category according to the C value, M value or Y value to obtain multiple sequences; and linearly interpolating the CMY data and any color space data other than the CMY data between the adjacent colors of each group of color targets. The present invention proposes the concept of adjacent colors of color targets. According to the linear interpolation of adjacent colors of color targets, a one-to-one correspondence between CMY color space data and other color space data can be obtained, and a picture composed of any color space data can be corresponded to the CMY color space of the self-developed device, which is equivalent to obtaining the actual distribution of the color gamut of the thermal printer.

The invention relates to a focal depth detection method and device based on chromatics. The method comprises the following steps: acquiring a pre-clear image of a color target plate; wherein the color target plate is provided with at least three color blocks with different colors and at least four black dots; the distance between the central point of each colored color block and the central point of the colored target plate is consistent; the black dots are symmetrically arranged on the colored target plate in pairs; intercepting colored knife edge images with different colors from the pre-clear image; calculating the size of a confusion circle based on the colored knife edge image to obtain the sizes of the confusion circles of different colors; and determining the focal depth position of the lens module based on the size relationship of the confusion circles of different colors. With the adoption of the method, the current focal depth position of the lens module can be quickly and accurately identified through one imaged image by virtue of different refractive indexes of the color light source.

The present application relates to a kind of industrial endoscope packaging box for performance detection, including square packaging box body, at least one inner surface of the box cover, box bottom, side wall and dust wing of packaging box body is printed with target pattern for detecting the performance of industrial endoscope, target pattern includes one or more of color target pattern for color detection, resolution target pattern for resolution detection, depth of field target pattern for depth of field test, distortion target pattern for testing the geometric distortion of imaging system and defect simulation pattern for simulating defect;Any one side wall of packaging box body is provided with side wall through hole in the center.The present application makes the packaging box can be used as the target of industrial endoscope performance detection in addition to packaging, facilitates the quick detection verification of user to industrial endoscope.

The invention provides a digital human shadow rendering method and device, equipment, a storage medium and a program product, and relates to the technical field of meta universe, and the method comprises the steps: obtaining offline data related to a target scene under the condition that a digital human is monitored to be loaded to the target scene, the offline data being related to a static shadow baking map of the target scene; traversing each pixel point corresponding to the digital person according to the offline data and the position of the digital person, and determining an illumination color and a shadow color of the digital person at a currently traversed target pixel point; under the condition that the target pixel point is located in a shadow area corresponding to the static shadow baking map, adjusting the initial shadow color according to shadow adjustable parameters input by a user to obtain a target shadow color; according to the illumination color and the target shadow color, the target color of the digital human is determined, and the target color is the final color rendered by the digital human shadow. Therefore, shadow rendering is carried out on the digital human in real time, and the sense of reality of the shadow is improved.

The invention relates to the technical field of welding detection, in particular to a welding detection method and system for an electronic element on a BGA substrate, and the method comprises the steps: obtaining a color target image, carrying out the color space conversion of the color target image, and extracting a brightness component and a chrominance component; calculating a color difference value of the BGA substrate in the color target image relative to a standard BGA substrate based on the brightness component and the chrominance component; adjusting a standard threshold value corresponding to the standard BGA substrate based on the color difference value to obtain an adaptive threshold value corresponding to the BGA substrate in the color target image; and extracting the welding position of the electronic component in the color target image by using the self-adaptive threshold value corresponding to the BGA substrate in the color target image, detecting the welding position, and outputting a detection result. According to the invention, the red electronic component welding area and the blue substrate background can be accurately separated under the condition that the substrate has chromatic aberration, so that the stability and reliability of welding position detection are kept.