127 results about "Chromatic vision" patented technology

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 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 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.

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.

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.

A color generation system is provided with: an acquisition unit that acquires a reference spectrum, which is a spectrum of a reference color, and a subject model that represents a color vision system of a subject; a response calculation unit that calculates, as a reference response, a response from the color vision system of the reference color vision person whose reference color has been visually recognized, on the basis of a predetermined reference model indicating the color vision system of the reference color vision person and the reference spectrum; a spectrum calculation unit that calculates a conversion spectrum for causing the subject model to output a response that coincides with or approximates the reference response; and a generation unit that generates a corresponding spectrum, which is a spectrum of a corresponding color corresponding to the reference color, on the basis of the converted spectrum.

To provide manufacturing information for manufacturing a color-producing material for providing colors in consideration of color vision diversity.SOLUTION: In an information presentation system 1, a color conversion system comprises: an acquisition unit that acquires information about a reference spectrum of a reference color-producing material that serves as a reference; a response calculation unit that, on the basis of the reference spectrum, calculates a matching spectrum for causing a response in a subject that coincides with or approximates a response from the color vision system of a reference color vision person who has visually recognized the reference color-producing material; and a memory that stores information about a plurality of raw material spectra corresponding respectively to a plurality of raw material color-producing materials to be mixed, and a material selection system comprises: a selection unit that uses information about the matching spectrum and the information about the plurality of raw material spectra to select, from among the plurality of raw material color-producing materials, a plurality of mixed materials that emit a spectrum that coincides with or approximates the matching spectrum when mixed; and a presentation unit that presents information for identifying the plurality of mixed materials.SELECTED DRAWING: Figure 1

1. Name of the Design Product: Color Vision Assistance Mode Adjustment Module for Short Video Interaction Graphical User Interface of Electronic Devices. 2. Use of the Design Product: An electronic device. 3. Design Key Points of the Design Product: Lies in the partial area of the graphical user interface. The part outside the dashed line is the protected partial area. 4. Picture or Photograph Best Illustrating the Design Key Points: The front view of Design 1. 5. Design 1 is designated as the basic design. 6. Use of the Graphical User Interface: For short video interaction. The protected partial area is used to adjust the video color filter. 7. Human - Machine Interaction Method of the Graphical User Interface: In Design 1, the user can click on the color swatch or picture in the color vision assistance module of the front view interface of Design 1 to apply the selected color filter to the current video. The user can also click on the filter options at the bottom of the panel to switch the corresponding color swatch or picture content displayed in the panel. The human - machine interaction descriptions of Design 2 to Design 10 are the same as that of Design 1.

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 belongs to the technical field of visual inspection, and particularly relates to a visual function inspection device for oblique amblyopia patients, a second motor is arranged, when the second motor is started, an output shaft of the second motor drives a second rotating shaft and a second gear of a 120-degree special-shaped structure to rotate, and the second gear is meshed with a third gear on the outer side of an optical filter rotating disc; the optical filter is formed by combining a red optical filter, a green optical filter and a transparent optical filter, a second rotating shaft drives another optical filter turntable to synchronously rotate through synchronous transmission of a chain wheel, and a second gear rotates by a circle to just drive the optical filter turntable to switch one mode, so that the switching of the red optical filter, the green optical filter and the transparent optical filter can be accurately realized, and at the moment, one eye of a patient is close to a detection opening; the sighting marks on the detection plate are observed through the observation holes, and detection of functions related to monocular vision, color vision and refraction is completed by combining conversion of modes of the three optical filters and recognition conditions of a patient on a visual chart and the color vision sighting marks.

The embodiment of the invention provides a visual enhancement method for color vision disorder, electronic equipment and a medium, and belongs to the technical field of artificial intelligence. The method comprises the following steps: performing visual enhancement on an original training image through an original visual enhancement model to obtain a visual enhancement image aiming at the performance of color vision disorder; performing color discrimination on the vision enhancement image through a color vision color simulation model so as to perform model training on the original vision enhancement model according to the calculated target loss values of the vision enhancement image, the original training image, the target color discrimination name and the real color name; and performing visual enhancement on the target image through the trained visual enhancement model. According to the embodiment of the invention, color name discrimination is carried out on the vision enhancement image through the color vision color simulation model so as to simulate a color naming process perceived by people with color vision disorder, and the vision enhancement model is trained in combination with the target loss value, so that the people with color vision disorder are effectively helped to calibrate the consistency of color naming and public language standards.

To provide a uniform combination possibility determination device capable of checking whether two uniforms can be combined. [Solution] A color recognition index calculation unit 14 calculates a color recognition index, which is at least one of the contrast ratio and color difference as seen by a person with normal color vision, and a color recognition index as seen by a person with color weakness, for two uniform colors selected from the uniform colors registered in a uniform database 10. A determination unit 17 compares the color recognition indexes for people with normal color vision and those for people with color weakness calculated by the color recognition index calculation unit 14 with reference values, and determines the relationship in magnitude between the color recognition indexes for people with normal color vision and the reference values, and between the color recognition indexes for people with color weakness and the reference values. A display control unit 18 displays on a display unit 20 whether the two uniforms are suitable for people with normal color vision and whether the two uniforms are suitable for people with color weakness, according to the determination result by the determination unit 17.