60 results about "Color vision deficiencies" patented technology

Provided are ophthalmic components (e.g., eyeglass lenses and contact lenses) that include a two dimensional crystalline solid material dispersed in a matrix material. The disclosed components can selectively filter light of selected wavelengths, thereby making the components suitable for use by individuals who may suffer from color vision deficiency conditions. The two dimensional crystalline solid material comprises at least one layer comprising a substantially two-dimensional array of crystal cells; each crystal cell having an empirical formula of M(n+1)X(n), such that each X is positioned within an array of M, wherein M is at least one Group IIIB, IVB, VB, VIB or VIIB metal, and wherein X is C and / or N.

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 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 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 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 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.

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

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.

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.

This invention provides an image processing device, an image processing method, and an image processing program that enable individuals with color vision deficiency to distinguish between different colors through simulation and clustering. [Solution] The image processing device is an image processing device that converts input image data input to an input device into output image data within a set color gamut on an output device, and includes: a simulation image generation unit that performs a dichromacy simulation on the input image data in the input device to generate a color vision simulation image; an input color information conversion unit that converts the simulation image generated by the simulation image generation unit into an XYZ color system; a confusion color information storage unit that stores confusion color information relating to confusion color lines that show the distribution of colors that are difficult for colorblind persons to distinguish; and a clustering processing unit that performs clustering to classify multiple similar colors and aggregate them into a representative number of colors.

The application provides a light emitting device, a design method, a medium, a display device and an electronic device. The design method comprises: obtaining spectral response information corresponding to a color vision deficiency population; obtaining a first color gamut range according to the spectral response information; obtaining a second color gamut range corresponding to a normal color vision population; configuring a light emitting spectrum of the light emitting device, so that a proportion of the first color gamut range covering the second color gamut range reaches a preset threshold. The light emitting device, the medium, the display device and the electronic device are corresponding solutions of the design method. The application not only expands the color gamut range of the color vision deficiency population to form color perception, but also improves the accurate perception and resolution ability of the color vision deficiency population to colors, realizes picture sharing of the color vision deficiency population and the normal color vision population, and switches multiple viewing modes.

The invention discloses a color vision ability abnormity detection system based on artificial intelligence, and particularly relates to the field of color vision science. Comprising a system central processor module, a system operation database, a user information terminal, a photostimulation generation module, a photostimulation data acquisition module, a data preprocessing module, a color vision abnormality comprehensive evaluation and analysis module, a color vision abnormality judgment module and a judgment result output module. According to the invention, through learning and analysis of a large amount of data, an objective judgment standard is established, a deep learning algorithm is utilized to carry out processing on different color combination images, subjective interpretation of a detected person on a pattern is not depended on, and a color vision state is determined through objective judgment of a model according to color features in the images and feedback of the detected person; according to the color vision anomaly detection method and system, the data are rapidly processed through the artificial intelligence system, color vision evaluation of numerous detected persons can be completed in a short time, and the efficiency of color vision anomaly detection is improved.

The invention discloses an objective index method for evaluating a dichroism contrast improvement condition. The method comprises the following steps: converting a normal image and a first image represented by a red-green-blue color space into a first conversion image and a second conversion image represented by a laboratory color space; obtaining an initial pixel in the first conversion image; respectively calculating the difference values of the brightness component, the red-green component and the yellow-blue component in the eyes of the person with normal color vision; target pixels which are difficult to distinguish are determined in the initial pixels according to the difference value; respectively calculating a plurality of experimental color differences in combination with the weight adjustment coefficient of the lightness difference; the plurality of experimental chromatic aberration are chromatic aberration of the target pixel in the eyes of the abnormal color vision person and the normal color vision person in the first conversion image and chromatic aberration of the target pixel in the eyes of the abnormal color vision person in the second conversion image, an objective index value corresponding to the first image is calculated in combination with a chromatic aberration value adjustment coefficient, and then an optimal image is screened out.

The invention relates to the design, fabrication, structure, and use of filters for addressing Color Vision Deficiency (CVD).

A computer implemented image processing method is described which comprises identifying a degree of similarity between two or more hues as viewed by a colour vision deficient viewer, and determining the two or more hues to be problem hues if the degree of similarity satisfies a similarity criterion. For one or more of the problem hues, a colour group is defined, the colour group including the problem hue and related hues within a colour range of the problem hue. Subsequently, when video images are received, for one or more of the colour groups, one or more regions in a received image having a hue corresponding to that colour group are identified, and a pattern is applied to those regions. In this way, patterns are applied only to regions of the image having a hue within a defined colour group containing a problem hue. As a result, the part of the image formerly represented only by the problem colour is now represented by a pattern, which is easily discernible by a colour-blind viewer. Regions of the image which do not contain a problem hue are not patterned in this way, and so the majority of the image remains unchanged.

The invention relates to the technical field of color blindness diagnosis, and particularly provides a color blindness personalized interactive evaluation method and system based on augmented reality, and the method comprises the steps: building a color mapping relation between a physical color card and an augmented reality environment based on a standard illumination condition; generating a hue test task composed of a plurality of virtual color blocks corresponding to the color mapping relation through the augmented reality environment; based on a natural interaction mode, assisting the user in sorting the virtual color blocks and recording a sorting result to obtain color vision defect features; local or cloud quantitative analysis is carried out on the color vision defect features, color vision quantitative error parameters are calculated, a user color vision perception model is constructed, and the color vision defect type and severity level of the user are output based on the user color vision perception model; and outputting a color vision evaluation report and generating a targeted color optimization scheme according to the user color vision perception model, the color vision defect type and the severity level. According to the invention, a full-process solution from accurate evaluation to personalized color adaptation is provided for color blindness users.

The invention discloses a color screen body fat scale display adjustment method convenient for a user with abnormal color vision to use. The method comprises the following steps: S1, sending a color vision test instruction to a scale body control assembly through intelligent equipment; s2, the scale body control assembly controls the color display screen to display a random color vision test picture and feeds back displayed color vision test picture information to the intelligent device, and then multiple options are displayed on the intelligent device for a user to select; s3, after the user selects one option displayed on the intelligent equipment, sending a color vision test picture switching instruction to the scale body control assembly and returning to S2, and skipping to S4 when the preset number of times of color vision test picture testing is completed; s4, the intelligent equipment evaluates whether the user is a user with abnormal color vision or not according to each selection option result, evaluates the abnormal color vision type of the user with abnormal color vision, generates and stores user information, and generates a display scheme according to an evaluation result; and S5, the display effect of the color display screen is adjusted according to the display scheme in the user information, and the user experience is improved.

The invention relates to a method for determining a color-vision deficiency of a driver (1) of a vehicle (2) by analyzing a response time and analyzing eye movements with respect to contents displayed on a display unit (3) in the vehicle, in which method, when a color-vision deficiency has been determined, a color adjustment of the display unit (3) corresponding to the determined color-vision deficiency is carried out, characterized in that, when the driver (1) provides approval to carry out the determination of a color-vision deficiency, an interaction value for determining a color-vision deficiency is identified on the basis of the identified response time, the eye movements, and the speed with which the driver (1) reads display contents, and the driver (1) is informed by the vehicle if a color-vision deficiency has been determined.

The invention relates to human eye color vision detection, in particular to a human eye color vision defect quantitative detection method and a human eye color vision defect quantitative detection device, which are characterized in that a color resolution limit of a subject is gradually approached by using a time and space two-dimensional alternate change detection pattern in combination with a dichotomy chromaticity threshold interactive feedback test method, and a Mecanum color confusion ellipse of the subject is obtained; inputting the Mecanum color confusion ellipse of the subject into the trained color vision defect type identification model to obtain the color vision defect type of the subject; determining a changed LMS cone spectral response curve according to the color vision defect type of the subject, and obtaining an LMS cone spectral response curve of the subject in combination with the LMS cone spectral response curve of the standard observer; according to the technical scheme provided by the invention, the defect that the human eye color vision defect is difficult to accurately and quantitatively detect in the prior art can be effectively overcome.

The present application relates to a dysopia identification method and system. The method comprises: acquiring eyeball data information of a user and visual perception information of the user, and on the basis of the eyeball data information of the user, identifying cornea information of the user; on the basis of the eyeball data information of the user and by means of a gaze tracking algorithm, collecting a line-of-sight variation trajectory of the user, and on the basis of the line-of-sight variation trajectory of the user, determining eyeball focusing information of the user; on the basis of the visual perception information of the user and by means of a spectral perception policy, identifying a visual perception spectrum of the user, and on the basis of the visual perception spectrum of the user, identifying colour vision defect information of the user; and on the basis of the cornea information of the user and the eyeball focusing information of the user, performing calculation to obtain visual defect information of the user, and on the basis of the visual defect information of the user and the colour vision defect information of the user, determining dysopia information of the user. By means of the method, the accuracy of identifying visual defects of different users can be improved.

A display apparatus may include: groups of light-emitting diodes (LEDs), each of the groups of LEDs including a red LED, a green LED, and a blue LED; and a processor configured to control the groups of LEDs. In a color vision deficiency mode, the processor may be configured to: obtain a color difference value between image blocks corresponding to the groups of LEDs; determine at least one from among a current weight of the red LED of a LED group, a current weight of the green LED of the LED group, and a current weight of the blue LED of the LED group, based on the color difference value between the groups of LEDs; and control a current supplied to the at least one from among the red LED, the green LED, and the blue LED, based on the image data and the current weight that is determined.

Provided is the intravitreal or subretinal dosing of recombinant adeno-associated virus (rAAV)-based gene therapies for the treatment of color vision deficiencies such as achromotopsia.

The invention discloses a barrier-free toolbar technical scheme based on a WeChat applet, and relates to the technical field of front-end development, the barrier-free toolbar technical scheme comprises a barrier-free toolbar system, the barrier-free toolbar system comprises a theme style component, a state management module, a global configuration tool, a user interaction component and a barrier-free function component, the theme style component comprises a black.js theme style file, a blue.js theme style file, a light.js theme style file, a white.js theme style file and a tellow.js theme style file and is used for defining different color matching schemes, the state management module is used for managing states related to theme styles by utilizing a theme.js file, and according to the barrier-free toolbar technical scheme based on the WeChat applet, through the color matching switching and click screen reading functions, the color matching of the WeChat applet can be realized, and the color matching efficiency of the WeChat applet can be improved. The browsing experience of users with visual impairment and the like is obviously improved; meanwhile, slot configuration and global introduction are adopted, the workflow of developers is simplified, the technical threshold is reduced, in addition, various crowds with abnormal color vision are supported, the containment of digital products is enhanced, and the universal accessibility of Web content is powerfully promoted.