162 results about "Chromatic vision" patented technology

Disclosed is a backlight unit of a liquid crystal display device, the backlight unit having an array of light-emitting diodes (LEDs) of at least three different colours, wherein the LEDs are arranged as groups of LEDs within the array, each group including at least one LED of each of the at least three different colours; a control circuit that is to be employed to control individual LEDs in the array; and a controller configured to drive the control circuit to selectively decrease a brightness of LEDs of at least one of the at least three different colours in at least a part of the array.

The invention provides a color enhancement method and system for a color barrier patient (CVD) perception image. The method comprises the following steps: step S1, based on visual characteristics of color vision impaired people, establishing a color vision impaired friendly image database through subjective experiments; s2, a CVD Perceptual-Guided Enhanced Model (CPEM) is constructed, and the CVD Perceptual-Guided Enhanced Model (CPEM) comprises a CVD-guided feature extraction module and a diffusion transformation module for people suffering from color vision disorder; s3, completing the training of a color vision impairment perception guide enhancement model by using the color vision impairment friendly image database; and S4, taking the original image and the pure noise image as model input, performing color reconstruction on the original image through the trained color vision disorder perception guide enhancement model, and generating an enhanced image conforming to visual perception of a CVD user. The model provided by the invention has a remarkable advantage in the aspect of improving the color perception of an individual with color vision disorder.

The invention discloses a colorimetric analysis method of ion concentration detection test paper suitable for a mobile phone App, and belongs to the technical field of test paper colorimetric analysis. The method comprises the following steps: obtaining pictures after a test paper reference color block and a reagent block react with a to-be-detected ion solution through a camera, ensuring the quality of the acquired image through user operation guidance, performing color correction on the test paper image, performing complete reference color block ROI region image detection and extraction based on contour shape features, and determining the detection accuracy of the test paper based on the collinearity of the reference color block. The method comprises the following steps: performing reagent block ROI region image positioning extraction according to a full contour and other position geometrical relationship, extracting color information of a test paper reference color block and a reagent block color development region, calculating color similarity in RGB, HSV and Lab color spaces based on the color information, and performing test paper color identification according to a voting mechanism. The method can provide convenience for patients with color vision defects, has certain self-adaption to different light environments, can reduce the influence of subjectivity and the like on the accuracy of detection results, and is simple and rapid in detection process.

The utility model belongs to the technical field of medical instruments, and particularly relates to an artificial lens for people with color vision disorder. The surface of the intraocular lens is a spherical surface or at least one surface is an aspheric surface or at least one surface is a discontinuous surface, the intraocular lens is colored and at least uses one coloring dye, and the coloring range of the intraocular lens at least comprises part of an optical area. According to the intraocular lens, at least one inhibition band exists in the wavelength range of 380 nm to 780 nm of the spectrum transmittance of the intraocular lens, and the minimum value of the spectrum transmittance in the inhibition band is lower than the nearest peak value of the spectrum transmittance in the wavelength range of 380 nm to 780 nm, so that the situation that the surface roughness is too high due to film coating is avoided, cell deposition on the surface of a film layer is avoided, the color vision correction safety is improved, and the color vision correction efficiency is improved. The correction effect of color vision correction is guaranteed, the problem that the surface reflectivity is high due to the fact that the surface of the artificial lens is coated with a film is effectively solved, optical interference is prevented, the retina is prevented from receiving stray light, and the signal-to-noise ratio of a retina image is prevented from being reduced.

The invention belongs to the technical field of image processing, and particularly relates to a color image enhancement method and system for people with abnormal red and green color senses based on visual perception characteristics. The enhancement method comprises the following steps: judging an image enhancement type based on a red-green green vision anomaly type; the types of the red and green vision abnormality include weak green, blind green, severe weak red, blind red and weak common red; the image enhancement type comprises a first enhancement type, a second enhancement type and a third enhancement type; generating an abnormal cone spectrum sensitive curve based on the image enhancement type; measuring the three-primary-color spectral radiation distribution of the image display device; obtaining a conversion matrix from an image RGB value to an LMS value based on the abnormal cone spectrum sensitive curve and the three-primary-color spectrum radiation distribution; the RGB value of the enhanced image is obtained based on the conversion matrix, the accuracy degree of the color weakness level is not needed, and a uniform enhancement algorithm can be used for people with green blindness and people with green weakness to realize color image enhancement.

The invention provides an auxiliary correction method and system for color vision disorder, and the method comprises the following steps: S1, carrying out the color and texture decoupling of an input image through a perception consistent state space module, and extracting a global color distribution feature and a perception invariant texture feature; generating a personalized enhanced image in combination with dynamic color offset adjustment and CVD perception quality evaluation; s2, constructing a dynamic heterogeneous marshalling architecture, dynamically combining a high-precision model and a lightweight module, and realizing a self-adaptive network architecture with multi-level complexity and performance balance through frequency domain sensing decoupling, heterogeneous multi-dimensional static kernel and implicit neural frequency domain acceleration technologies; and S3, acquiring image data in real time by adopting an embedded hardware platform, optimizing a processing flow through a dynamic complexity threshold constraint model, outputting an enhanced image in combination with AR / VR equipment and a standardized interface, and guiding continuous optimization of a personalized color enhancement algorithm through effect analysis evaluation feedback.

The present invention includes systems and methods for optimizing perception of image data. Color vision impairment affects a user's ability to distinguish between certain colors, reducing the impact of color images. Mapping color image data to an expanded color gamut increases contrast between colors and the available number of distinct colors in a set of image data, which improves the ability of a user with color vision impairment to see differences between colors. The present invention includes systems and methods for determining a type of color vision impairment in order to provide customized optimization of image data for improved color perception.

The invention relates to the technical field of visual inspection, and discloses a piston rod surface defect detection method and system based on visual inspection. According to the method, firstly, a depth-of-field image data set containing color saturation features of each depth-of-field level is obtained, and a detection process is triggered by calculating the overall color vision offset of the color saturation features and reference features. When the offset exceeds a threshold value, point cloud data are extracted, an oxidation area three-dimensional model is constructed through surface contour fitting, and first space contour data are output; after the oxidation depth is divided into grid units, a depth gradient vector field and local curvature features are calculated, and oxidation depth distribution data are obtained; and grading and generating an oxidation degree distribution diagram based on the data, and finally correcting the boundary of the three-dimensional model in combination with an original image data set to generate accurate second space contour data. According to the method, color features and depth information are fused, accurate positioning, quantitative grading and boundary correction of the oxidation corrosion area are achieved, and reliable support is provided for automatic detection of piston rod surface defects.

The present invention provides novel systems and methods to determine a person's ability to perceive colors across the visual light spectrum taking into account luminance of the surrounding environment, contrast of the display being used to convey the test, or both. The present invention can be used to measure individual color vision perception at specific times or over time or in populations over time to assist with the identification of clusters of color vision deficiencies, their association with agents of both genetic and non-genetic cause and thereby improve understanding of the dynamics of color vision deficiency in individuals and across populations.

The invention discloses an eye color sense function detection system and method fusing VR and artificial intelligence. The system comprises VR terminal equipment, a data storage module, an artificial intelligence processing module and a power supply module. Wherein the VR terminal equipment comprises a VR head-mounted display, an infrared eye movement tracking camera, a host control system and an interactive input handle; the data storage module is used for storing detection data; the artificial intelligence processing module is used for performing color vision disorder qualitative analysis, color vision disorder quantitative analysis and color vision disorder and fundus problem association evaluation on the detection data to obtain an evaluation result; and the power supply module is connected with the VR terminal equipment, the data storage module and the artificial intelligence processing module and is used for providing power supply guarantee. According to the method, interference of subjective factors is reduced, the detection accuracy is improved, the automatic detection process and the intelligent data analysis capability of the system are improved, and the detection time is greatly shortened.

The invention discloses an individualized color vision modeling method, which is based on the hypothesis of'color vision fuzzy ellipse ', firstly, modeling the color perception difference of an individual into a Markov fuzzy region around a reference color point, and extracting a main axis direction as a perception insensitive axis. By constructing an interactive perception evaluation task, recognizable critical responses of a user to different color paths are collected, and a plurality of mahalanobis distance matrixes are fitted according to the recognizable critical responses. And solving an intersection region in the main axis direction of all fuzzy ellipses by adopting a linear programming or geometric constraint optimization algorithm, and taking the intersection region as a core sensing coordinate of a user color vision structure. The method has the advantages of being noninvasive, easy to operate, high in adaptability and the like, perception differences of normal individuals and color vision abnormal individuals can be finely distinguished, and a continuous and explainable color vision characterization model is constructed. The method has high fitting precision for color weakness users, can effectively support practical applications such as image recoloring, personalized display adjustment and color vision training, and has wide clinical assistance and intelligent interaction potential.

Dynamic extraocular filtering is a correction method to improve color contrast recognition in color vision deficient observers (non-normal color vision). This method is based on actively controlling wavelength spectrum transmission to retinal photoreceptors, introducing a temporal contrast that is interpreted as color contrast by the observer. The method functions by utilizing an active filter that produces several filter conditions which change at a high frequency. This method changes filter conditions dynamically as opposed to current systems which rely on static band-stop filters.

The utility model relates to the technical field of color vision detection, in particular to a color blindness and color weakness detection disc which comprises a storage mechanism, a peep-proof mechanism, an adjusting mechanism and a detection mechanism. According to the color blindness and color weakness detection device, the false homochromaticity images pasted in all the grooves in the rotating disc are sequentially rotated to the position under the observation hole to be observed by a detector, on one hand, the color discrimination ability of the detector can be evaluated more comprehensively, the time of the detector in the color blindness and color weakness detection process is shortened, the color blindness and color weakness detection efficiency of the detector is further improved, and the detection efficiency of the detector is improved. On the other hand, a detector observes different false homochromatic images on the rotating disc, the situation that the detector makes contact with the false homochromatic images manually is reduced, the service life of the detection disc is prolonged, meanwhile, an observation hole is shielded through a baffle at the top of the peep-proof mechanism, it is guaranteed that the false homochromatic images on the rotating disc can only be observed by the detector, the situation that the detector is reminded by others is avoided, and the detection efficiency is improved. And the detection accuracy and fairness are further improved.

Provided is a tag attached to an article, the tag including at least one of a first region indicating the color of the article as perceived by a person with general color vision in a manner perceptible to a person with color blindness, and a second region indicating the color of the article as perceived by the person with color blindness in a manner perceptible to the person with general color vision.

It is difficult for people with color vision deficiency (CVD) to distinguish between certain colors, e.g., reds and greens may be indistinguishable, causing a loss of information. Image recoloring, daltonization, techniques aim to improve the experience for people with CVD. Preserving luminance between the original image as seen by a person with normal color vision and someone with a CVD assists in preserving image appearance. Conventional algorithms attempt to daltonize images by exploiting the content of the image itself. While this is a suitable idea for an image in isolation, temporal inconsistencies (e.g., flickering) occur when applied to a stream of images, as a color c could be mapped to a color a in one frame and b in another. In contrast, the luminance-preserving technique operates on pixels and provides a consistent mapping and therefore is temporally stable.

A computer-implemented method for selectively replacing a color of an object in an original image due to color blindness of a viewer. The method includes identifying whether there are color groups that are hard to be distinguished at a border between one or more objects in an original image. The method further includes generating a grayscale image from the original image and estimating an original color of each pixel in the original image by inputting the generated grayscale image to an automatic colorization artificial intelligence (AI) model. The method further includes determining at least one color group for which color replacement is to be performed and replacing the determined at least one color group with a color that is easily perceived by the person having a color vision deficiency and that is easily distinguished from the other color groups at the border between the identified one or more objects.

To provide a data processing device capable of providing a user having color blindness with appropriate visual support, a wearable terminal, a data processing method, and a program.SOLUTION: A data processing device includes an input unit which accepts an image including at least a part of a visual field of a user, a processing unit which performs specific processing using a data generation model for generating data according to input contents, and an output unit which outputs color blindness support information, which is information supporting visual perception associated with the color blindness of the user according to the processing results by the processing unit. The processing unit acquires color blindness support information as the processing results using an output of a data generation model when input contents including an instruction sentence instructing the generation of a correction color for correcting the color of an object included in the image are input.SELECTED DRAWING: Figure 7

This information providing system comprises: an acquisition unit that acquires color vision information indicating color vision of a person involved in the provision of information; a color determination unit that determines a color related to an article, on which information is to be provided, on the basis of the color vision information acquired by the acquisition unit; and an information providing unit that provides information on the article relating to the color determined by the color determination unit.

A color evaluation system includes an acquisition unit that acquires reference color information related to a reference color, a subject model that indicates recognition of the color by a subject, and a reference model that indicates recognition of the color by a reference color observer; a calculation unit that calculates a subject response indicating recognition of the reference color by the subject based on the reference color information and the subject model, and calculates a reference response indicating recognition of the reference color by the reference color observer based on the reference color information and the reference model; and a comparison unit that calculates a response difference as a difference between the subject response and the reference response.

1. The name of this design product: interactive training board. 2. Purpose of this design product: to train children's color vision ability. 3. The key design point of this design product lies in the combination of shape and pattern. 4. The picture or photo that best illustrates the design points: three-dimensional picture.

In one embodiment, a method is disclosed that includes selecting a first color sample within a target area in a first image of a first object displayed by a display device; selecting a second color sample within a target area in a second image of a second object displayed in the display device; comparing the first color sample against the second color sample to determine a measure of color difference or a measure of color equivalence between the first color sample of the first object and the second color sample of the second object; and displaying the results of the comparison to a user in the display device. One or more of these functions may be performed with a processor.

The invention discloses a digital media display method based on the augmented reality technology, and relates to the technical field of digital media, and the method comprises the following steps: providing augmented reality technology equipment, playing pre-stored digital media content through a host, and enabling a user to experience the digital media content by wearing the augmented reality technology equipment; when the user wears the augmented reality technology equipment, color calibration testing is carried out on the user, the color vision disorder type of the current user is judged, and the color deviation degree and the average deviation of the current user are calculated; and according to the color deviation degree and the average deviation of the user of the current augmented reality technology equipment, obtaining a picture color perception weak item of the current user, constructing a targeted color filter, and performing targeted compensation on a digital media display picture. According to the invention, color pertinence optimization is carried out on the user, so that the digital media watching experience of the user is improved.

The utility model discloses a helmet with a color blindness lens, and relates to the technical field of helmets. The helmet with the color blindness lens comprises a helmet body, the helmet body comprises a helmet shell, an eye protection cover is arranged at the front end of the helmet shell, rotating buttons are inserted into the two sides of the eye protection cover, and one ends of the two rotating buttons are installed on the two sides of the helmet shell respectively; a correction film is arranged on the inner wall of the eye protection cover, the correction film comprises a high-transparency bonding layer arranged on the surface of the inner wall of the eye protection cover, and a complementary color antagonism layer is compounded on the surface of the top of the high-transparency bonding layer. Therefore, the proportion of the three primary colors entering the human eyes tends to be normal, the aim of correctly distinguishing the colors is finally achieved, and the colors which are originally unclear to be distinguished by color blindness can be correctly distinguished, so that the effect of correcting color vision disorder is achieved.

A film with a hydrophobic water-insoluble dye embedded in polyvinyl alcohol (PVA) is disclosed. The dye is uniformly distributed throughout the film and the film has substantially no organic solvents. The film may be attached to the center of a contact lens. Such a contact lens may be used to correct or improve color vision for people with a color vision deficiency.

A computer-implemented method for processing medical images, the method including receiving one or more of medical images of at least one pathology specimen, the pathology specimen being associated with a patient, wherein the medical image is a stained histology image. The method may further include receiving a stain type associated with the one or more medical images and identifying a color vision deficiency for one or more users. Next the method may include identifying a pixel transformation for the one or more medical images based on the stain type and color vision deficiency of the one or more users. Next the method may include applying a pixel transformation to each pixel within the one or more medical images. Lastly the method may include displaying the transformed one or more medical images to the one or more users.

This invention relates to a testing system for assessing color vision variability in a test subject (7). The testing system includes at least two test carriers (1), each of which is provided with a two-dimensional pattern (4) comprising a background (2) and a plurality of samples (3). The plurality of samples (3) and the background (2) of each of the at least two test carriers (1) are made from a combination of at least two different dyes representing metameris colors. The samples (3) and / or the background (2) display color scaling in at least two directions, such that each of the at least two test carriers (1) is configured to provide a point (PIS) from which the test subject (7) can select the most closely matched metameris color of the sample (3) and the background (2) from the two-dimensional pattern (4). C The system further includes a test illumination unit (5) configured to provide light for color vision variability assessment, the light having a specific spectral power distribution. The system also includes a processing unit (6) configured to calculate the point of interest (PIS) selected by the test subject (7). C ) and reference point (PIS) B The changes are compared to predict the color matching function and / or determine the congenital and / or acquired color vision deficiencies of the test subject (7), using the reference point (PIS). B The power distribution is calculated by the processing unit (6) based on data from a predefined standard observer and taking into account the specific spectral power distribution of the light from the test illumination unit (5).

This invention relates to the field of computer vision and image processing technology, and discloses a color vision anomaly correction method based on color transformation. The method includes: first, converting the input image to the CIE Lab space; calculating the color confusion degree of pixels using an LMS simulation model to generate a target mapping curve; extracting color components to calculate the relative chromaticity difference quotient, and obtaining smoothing mask weights through filtering; subsequently constructing hue constraint features based on RGB energy ratios, performing differential compensation on the red and green channels, and using the energy recovery coefficient for constant brightness closed-loop constraints; for continuous video streams, introducing prior values ​​of spatial smoothness and temporal continuity to construct a spatiotemporal joint optimization objective function and obtaining the optimal solution; finally, using a local weight mask in the HSV space to guide the smooth fusion of the original signal and the mapped signal. This invention effectively eliminates spatial boundary artifacts and video temporal flicker, enhancing the distinguishability of confused colors while maintaining the color naturalness and brightness constancy of the image.

The invention discloses a multi-modal interactive color vision screening system and method, and relates to the technical field of color vision screening, and the key points of the technical scheme comprise the following steps: obtaining a multi-dimensional scene reference parameter, a student sight tracking calibration parameter and a parameter attribute type of color vision screening; capturing sight track real-time monitoring data and screening scene dynamic adjustment data of a target student; performing comparative analysis on the matched calibration item and a calibration standard item corresponding to the matched calibration item to obtain a calibration abnormal item in the matched calibration item; analyzing according to the missing calibration item to obtain a first calibration abnormal coefficient of color vision screening in the target calibration monitoring domain; analyzing according to the calibration anomaly item to obtain a second calibration anomaly coefficient of color vision screening in the target calibration monitoring domain; obtaining a comprehensive calibration abnormal coefficient according to the first calibration abnormal coefficient and the second calibration abnormal coefficient; and outputting a color vision screening report according to the comprehensive calibration abnormal coefficient. The method has the effect of improving the efficiency and generalizability of color vision screening.

To allow a minority color vision person to obtain color vision coincident with that of many standard color vision persons by coping with an optical characteristic of a display device and an individual difference in color vision.SOLUTION: A pre-conversion image 100 is displayed on a display 130 for a majority color vision person via a normal display device 120 on one hand, and is displayed on a display 170 for a minority color vision person via a color vision correction device 150 on the other hand. In color vision correction device 150, correction calculator 160 performs correction conversion calculation on the RGB data (R, G, B) according to correction conversion calculation program 162 to obtain corrected RGB data (R ', G ', B '). At this time, the correction conversion is performed so that the cone stimulation values (L, M, S) for a person with polychromatism who views the display 130 and the cone stimulation values (L ', M ', S ') for a person with minority color vision who views the display 170 match.SELECTED DRAWING: Figure 2

A compensation method of optical lens includes: providing a lens body with an optical filter, with the lens body having an interference light absorbance portion through which a light beam to pass; providing a first green-confusion absorbance region on the interference light absorbance portion, with the first green-confusion absorbance region having a first blue-green absorbance peak portion; providing a second orange-confusion absorbance region on the interference light absorbance portion, with the second orange-confusion absorbance region having a second orange absorbance peak portion; and the first blue-green absorbance peak portion absorbing at least one blue-green light while the second orange absorbance peak portion absorbing at least one orange light to provide red chroma enhancement in vision.