KR101768071B1 - Method and apparatus for correcting color blindness - Google Patents
Method and apparatus for correcting color blindness Download PDFInfo
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- KR101768071B1 KR101768071B1 KR1020160034503A KR20160034503A KR101768071B1 KR 101768071 B1 KR101768071 B1 KR 101768071B1 KR 1020160034503 A KR1020160034503 A KR 1020160034503A KR 20160034503 A KR20160034503 A KR 20160034503A KR 101768071 B1 KR101768071 B1 KR 101768071B1
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B3/00—Apparatus for testing the eyes; Instruments for examining the eyes
- A61B3/02—Subjective types, i.e. testing apparatus requiring the active assistance of the patient
- A61B3/06—Subjective types, i.e. testing apparatus requiring the active assistance of the patient for testing light sensitivity, e.g. adaptation; for testing colour vision
- A61B3/066—Subjective types, i.e. testing apparatus requiring the active assistance of the patient for testing light sensitivity, e.g. adaptation; for testing colour vision for testing colour vision
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N9/00—Details of colour television systems
- H04N9/64—Circuits for processing colour signals
- H04N9/68—Circuits for processing colour signals for controlling the amplitude of colour signals, e.g. automatic chroma control circuits
- H04N9/69—Circuits for processing colour signals for controlling the amplitude of colour signals, e.g. automatic chroma control circuits for modifying the colour signals by gamma correction
Abstract
Description
The present invention relates to a color weakness correction method and apparatus, and more particularly, to a method and apparatus for correcting color weakness in accordance with the degree of color tone abnormality of a color weakness person.
A color vision abnormality refers to a condition in which color can not be distinguished normally due to congenital or acquired abnormality of a cone cell recognizing a color. If you have normal color perception ability, you can distinguish colors by mixing the three colors of red, green, and blue. However, in the case of color defects, there is a problem in the function of at least one of red, green, and blue cones.
Due to the problem of color perception, color vision aberration is generally inconvenient to use display and media contents that are easily accessible. In order to solve this problem, researches on techniques for producing contents for color blind people have been continuously carried out.
In order to discriminate the degree of color vision abnormality, the conventional method such as Ishihara color chart is used and it is judged whether or not the color abnormality is found through the test. However, the Ishihara color chart can not distinguish the degree of color blindness of color blindness. For visually impaired programs such as Vischeck and Color Doctor, the Daltonizatino algorithm is used to convert the color space of the RGB display to the LMS plane (long / middle / short-wavelength cone) . However, it is only possible to confirm how the color blind person perceives the color, and the operation is complicated and the efficiency is lowered and the operation speed is slowed down.
Therefore, it is necessary to develop an indicator and a measuring method of the color weakness rate indicating the color recognizing ability of the color weakness person, and a method and apparatus for compensating the color weakness based on the color weakness rate.
Related Prior Art Korean Patent Laid-Open No. 10-2005-0106299 (entitled "Screen Composition Method for Color Blindness of Mobile Communication Terminal," published on Nov. 9, 2005) is available.
The present invention is to provide a color weakness correction method and apparatus for measuring the degree of color vision abnormality of a color-blind person and performing corrections corresponding thereto.
According to another aspect of the present invention, there is provided a color weakness correction method comprising: generating a color tone abnormal image, which is a result of input image being visually recognized by the color tone abnormal person based on a color weakness rate indicating color recognition capability of a color weakness person; Detecting at least one confusion region in which a coloring phenomenon occurs in the color blind person based on pixel values of the input image and the color blind abnormal image; And generating a color correction image in which a pixel value of a pixel belonging to a corresponding region corresponding to the at least one confusion region in the input image is corrected based on the color weakness rate.
Preferably, the step of generating the hue abnormal image comprises: selecting pixels corresponding to the color hue type of the hue shifter among the pixels of the input image; And converting the at least one hue component of the selected pixel based on the color weakness rate to generate the hue abnormal image.
Preferably, the step of generating the hue abnormal image may linearly reduce at least one hue component corresponding to the color weakness kind of the hue retarder in the selected pixel based on the color weakness rate.
Preferably, the step of detecting the confusion region comprises: dividing the input image and the color-difference image into a plurality of regions of the same type; Calculating a first comparison result value and a second comparison result value, which are comparison results based on pixel values of the hue-aberration image and the input image, the pixel values being adjacent to each other in the divided area; And detecting, as the confusion region, an area having a difference between the first comparison result value and the second comparison result value with respect to an area at the same position in the hue abnormal image and the input image, .
Preferably, the step of detecting the confusion region further includes the step of selecting a discrimination region including a pixel corresponding to the color medicine kind of the color tone disorderer among the plurality of regions included in the input image, the discrimination region including a threshold ratio or more, The calculating of the first comparison result value and the second comparison result value may be performed only for the selection region.
Preferably, when the color medicine kind of the color tone disorderer is a red green color, the pixel corresponding to the color medicine kind of the color tone disorderer may be a pixel whose hue value is 0 to 150.0 or 330.0 to 360.0.
Preferably, the step of generating the color-tone-corrected image may correct the confusion region to a color not corresponding to the color-mixture type of the color-difference region when the color tone of the color-tone region is below a predetermined threshold value.
Preferably, the method may further include: generating a plurality of color correction images in which a sample input image for the color mixing ratio measurement is corrected based on each of a plurality of different color weakness ratios; Selecting a color-correcting image having the color most clearly recognized from among the generated plurality of color-correction images; And determining a color weakness corresponding to the selected color correction image as a color weakness of the color difference aberration.
In order to achieve the above object, the present invention provides a color weakness correction apparatus comprising: a color tone correction unit that generates a color tone abnormal image that is a result of an input image being visually recognized by the color tone abnormal person based on a color weakness rate, An image generation unit; A confusion region detection unit for detecting at least one confusion region in which a coloring phenomenon occurs in the color difference region based on pixel values of the input image and the hue / And a correction unit for generating a color correction image in which a pixel value of a pixel belonging to a corresponding region corresponding to the at least one confusion region in the input image is corrected based on the color weakness rate.
Preferably, the abnormal image generating unit may select pixels corresponding to the type of color weakness of the color gamut from the pixels of the input image, convert at least one color component of the selected pixels based on the color weakness rate, An abnormal image can be generated.
Preferably, the hue abnormal image may be generated by linearly reducing at least one hue component corresponding to the color weakness kind of the hue retarder in the selected pixel based on the color weakness rate.
Preferably, the confusion area detector divides each of the input image and the hue / hue image into a plurality of regions having the same shape, and calculates a pixel value of each of the hue / The first comparison result value and the second comparison result value that are the comparison results based on the color difference image and the input image, An area having a difference greater than or equal to a predetermined threshold value can be detected as the confusion area.
Preferably, the confusion area detecting unit further selects a discrimination area including a pixel corresponding to a color medicine kind of the color tone disorderer among a plurality of areas included in the input image, the discrimination area including a threshold ratio or more, The second comparison result value can be calculated only for the selection region.
Preferably, the correcting unit may correct the confusion region to a color not corresponding to the color medicine kind of the color difference region when the color weakness of the color difference region is less than or equal to a predetermined threshold value.
Preferably, the color weakness ratio of the color difference aberration is calculated from a plurality of color tone correction images generated based on each of the plurality of different color weakness ratios from the sample input image for the color weakness ratio measurement, As shown in FIG.
The present invention has an effect of measuring the degree of color blindness of a color blind person and performing a correction according to the measured color blind blind person, thereby providing an optimal color correcting algorithm optimized for each color blind person.
In addition, the present invention defines a recognition algorithm model of a color-blind person as a linear model and detects and corrects only a region where color confusion occurs by using the color-blind recognition algorithm, thereby minimizing unnecessary operations, And thus the performance of the apparatus is remarkably improved.
1 is a flowchart illustrating a color weakness correction method according to an embodiment of the present invention.
FIG. 2 is a flowchart illustrating a method of detecting a confusion area according to an exemplary embodiment of the present invention. Referring to FIG.
FIG. 3 is a flowchart illustrating a method of determining a color weakness rate according to an exemplary embodiment of the present invention.
4 is a view for explaining a color weakness correction apparatus according to an embodiment of the present invention.
5 is a view for explaining an image of a color vision abnormality according to an embodiment of the present invention.
FIGS. 6A and 6B are views for explaining a color-tone abnormal image and a color-tone correction image according to an embodiment of the present invention.
7 is a view for explaining a confusion area according to an embodiment of the present invention.
8 is a diagram for explaining the hue value in the HSL color space.
9 is a source code for illustrating a method of correcting a color compensation image according to an embodiment of the present invention.
While the invention is susceptible to various modifications and alternative forms, specific embodiments thereof are shown by way of example in the drawings and will herein be described in detail. It should be understood, however, that the invention is not intended to be limited to the particular embodiments, but includes all modifications, equivalents, and alternatives falling within the spirit and scope of the invention. Like reference numerals are used for like elements in describing each drawing.
The terms first, second, A, B, etc. may be used to describe various elements, but the elements should not be limited by the terms. The terms are used only for the purpose of distinguishing one component from another. For example, without departing from the scope of the present invention, the first component may be referred to as a second component, and similarly, the second component may also be referred to as a first component. And / or < / RTI > includes any combination of a plurality of related listed items or any of a plurality of related listed items.
It is to be understood that when an element is referred to as being "connected" or "connected" to another element, it may be directly connected or connected to the other element, . On the other hand, when an element is referred to as being "directly connected" or "directly connected" to another element, it should be understood that there are no other elements in between.
The terminology used in this application is used only to describe a specific embodiment and is not intended to limit the invention. The singular expressions include plural expressions unless the context clearly dictates otherwise. In the present application, the terms "comprises" or "having" and the like are used to specify that there is a feature, a number, a step, an operation, an element, a component or a combination thereof described in the specification, But do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, or combinations thereof.
Unless defined otherwise, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Terms such as those defined in commonly used dictionaries are to be interpreted as having a meaning consistent with the contextual meaning of the related art and are to be interpreted as either ideal or overly formal in the sense of the present application Do not.
Hereinafter, preferred embodiments according to the present invention will be described in detail with reference to the accompanying drawings.
1 is a flowchart illustrating a color weakness correction method according to an embodiment of the present invention.
In step S110, the color weakness correction apparatus generates a hue / hori- zontal image, which is a result of visually recognizing the input image to the hue / hue conditioner based on the color weakness rate indicating the color recognition ability of the color hue conditioner.
A color vision abnormality refers to a condition in which a color can not be distinguished normally due to congenital or acquired abnormality of a cone cell recognizing a color. Therefore, the color tone error may have a problem in recognizing at least one color of red, green, and blue. Among them, the red green medicine (above the first color hue) is a case where the distinction between red and green is unclear, and most of the color hue disorder corresponds to this green medicine.
The color weakness rate is a numerical value indicating the degree of color hue or more and indicates the color recognition ability of the color hue disorder person. In the present invention, the color weakness can be defined to have a value between 0 and 1. The closer to 0, the greater the degree of color hue. The closer the color hue is to 1, the less the degree of color hue can be interpreted. On the other hand, the name and the numerical range may vary depending on the definition method of the color weakness rate, and the difference therebetween can be easily understood by the ordinary artisan.
In addition, when it is assumed that the color sensitivity is represented by a value between 0 and 1, the color acceptance rate of a color tone defect having a problem in recognizing a plurality of colors is expressed by
Here, C is the color weakness of the color tone deficiency, R is the color sensitivity of the color tone deficiency to the red color, G is the color sensitivity of the color tone deficiency to green, B is the color sensitivity of the color tone deficiency blue, And c are weights for the color sensitivities of R, G and B, respectively.
For example, when the color-blindness is red green, the weight c corresponding to the color sensitivity to blue may be set to c = 0, and when a weight of the color sensitivity to red and green is equal, a = b = The rate is
On the other hand, the color weakness correction apparatus can determine the color weakness rate through the color weakness rate measurement procedure for each color weakness person, and can directly input the color weakness rate from the color weakness person who already knows the color weakness rate of her color weakness. A detailed description of the measurement procedure of the color weakness rate will be described later in detail with reference to FIG.
The hue error image is an image reconstructing how the input image is visually perceived by the hue difference anchor based on the color weakness rate determined for each hue difference anchor. Referring to FIG. 5, (a) is an input image, (b) is an image image perceived by a color blind person by applying a conventional Daltonization algorithm to an input image, (c) Is a video image recognized by a person with a color vision disorder.
At this time, the algorithm of the present invention generates an image of a hue or hue by using the color weakness rate according to the color-blindness defect, and the details of this algorithm will be described in detail in the following description of the embodiment.
In another embodiment, the color weakness correction apparatus can convert at least one color component of a pixel corresponding to the color medicine kind of the color difference aberration, based on the color weakness rate of the color difference anomaly, to generate a color anomaly image.
For example, when a color weakness correction apparatus generates a color vision abnormality image for a color vision abnormality having a color medicine type of red green medicine, a red or green series pixel corresponding to red green medicine is selected in the input image, And a red or green component of the selected pixel is converted into a yellow component by using the color weakness ratio to generate a color image.
At this time, a specific method by which the color weakness compensator converts at least one color component of the selected pixel will be described in detail below.
In yet another embodiment, the color weakness correction apparatus may linearly reduce at least one color component corresponding to the color weakness type of the color difference anomaly in the selected pixel, based on the color weakness rate, to generate a color anomaly image.
For example, when the color-blindness is a red-green color, a red or green-based pixel included in the input image may be seen as a yellow-colored image. At this time, the color balance correction device can convert the color space of the input image into HSL (hue, saturation, lightness) color space. Then, the red or green component can be reduced so that the hue value of the selected pixel converges linearly to yellow (60.0) according to the color weakness ratio.
More specifically, referring to the hue value (H) shown in Fig. 8, the color weakness correction apparatus calculates a hue value (H) of 0 to 1 The chromaticity error image can be generated by reducing the chromatic component of red or green so as to linearly converge to yellow of 60.0. At this time, the calculation of the hue value by reducing the red or green color component can be performed by the following equation (2).
Here, hue2 is a hue value that reduces the red or green color component, hue1 is the original hue value of the input image, and C is the color weakness ratio of the color difference anomaly.
Equation (2) can be used on the assumption that the color sensitivity of red or green of the color-blind shifter is equal to the color weakness rate. It can be seen that the reduction of the red or green color component in Equation (2) is made at the same ratio.
In step S120, the color weakness correction apparatus detects at least one confusion area in which a color weakness phenomenon occurs, based on the input image and the pixel value of the hue image.
That is, referring to FIG. 7, the color weakness correction apparatus compares the pixel values of the coordinates corresponding to each other in each of the input image (a) and the hue and hue image (b) It is possible to detect the region including the confusion region (red square).
A specific method of detecting the confusion area will be described later in detail with reference to FIG.
In step S130, the color weakness correction apparatus generates a color correction image in which the pixel values of the pixels belonging to the corresponding area corresponding to at least one confusion area in the input image are corrected based on the color weakness rate.
At this time, in consideration of the efficiency of the correction, the color weakness correction apparatus can perform correction only on pixels corresponding to the type of color weakness of the color difference anomalies among the pixels belonging to the corresponding region. For example, with respect to the reddish green pixel, which is the red green color, the color correction device can perform correction of the pixel value only for the red or green series pixel having the hue value of 0 to 150.0 or 330.0 to 360.0 among the pixels belonging to the corresponding area.
On the other hand, the correction may be performed through the inverse operation of Equation (2) used to generate the hue error image, for example, by the source code of FIG. Referring to FIG. 9, the corrected hue value can be calculated using the color weakness of the color difference aberration and the hue value of the pixel included in the input image. Here, hue2 is the corrected hue value, hue1 is the original hue value of the input image, and C is the color weakness rate of the color difference anomaly.
The color-correcting image is a result image obtained by performing correction on the basis of the color weakness rate, and the color-blind person can more easily distinguish and recognize objects (e.g., characters, backgrounds, figures, objects, etc.) in the image by using the color- have.
6A is an input image, FIG. 6B is a video image in which an input image is recognized by a color-blind shifter, FIG. 6C is a correction image obtained by correcting an input image, Is a video image in which a corrected image is recognized by a color blind person.
In another embodiment, when the color weakness correction apparatus has a color weakness ratio of a color difference disorder of less than a predetermined threshold value, the confusion region can be corrected to a color not corresponding to the color weakness kind of the color difference disorder.
For example, if the color weakness ratio (e.g., 0.2) of the color tone disorderer is very low, the corrected color hue value calculated while performing the correction described in FIG. 9 is too large by dividing the color tone ratio C, It may become more difficult to distinguish.
Therefore, when the color weakness of the color tone disorderer is equal to or less than the predetermined threshold value, the color weakness correction apparatus can perform correction with respect to the pixels in the corresponding region using a color not corresponding to the color weakness kind of the color tone disorderer. For example, when the color-blindness auto-red is a red-green blush, the correction can be performed using a blue-based color which can clearly distinguish the color-blind disorder.
Referring to FIG. 6B, (a) is an input image, (b) is a video image in which an input image is recognized by a color-blind shifter, (c) is a correction obtained by correcting an input image by using a blue- (D) is a video image in which a corrected image is recognized by a color-blind person.
As described above, in the color weakness correction method according to an embodiment of the present invention, a color recognition algorithm model of a color gamut is defined as a linear model, and only an area where color confusion occurs is corrected using the color gamut abnormality recognition algorithm , Unnecessary arithmetic operations can be minimized, and the color weakness correction performance can be dramatically improved.
FIG. 2 is a flowchart illustrating a method of detecting a confusion area according to an exemplary embodiment of the present invention. Referring to FIG.
In step S210, the color weakness correction apparatus divides each of the input image and the hue / hue image into a plurality of regions of the same type.
For example, the color weakness correction apparatus can divide the input image and the hue / hue image into a plurality of regions using a grid of the same size (e.g., 10x10, 12x12, 20x20, etc.).
In step S220, the color weakness correction apparatus calculates the first comparison result value and the second comparison result value, which are the comparison results based on the pixel values of the color-tone error image and the input image, respectively, adjacent to the divided regions.
That is, the color weakness correction apparatus may calculate a first comparison result value based on a pixel value of a region adjacent to the region divided in the hue and hue image, and calculate a second comparison result value in the same manner in the input image.
In this case, for example, the first comparison result value is a value obtained by comparing the average of the pixel values with a predetermined size or more in comparison with the four adjacent areas for any one of the divided regions of the hue / , And the result is 4 when there is a difference of more than the size of the adjacent four regions). Similarly, the second comparison result value may be a value obtained by comparing whether the average of the pixel values differs by more than the size, compared with the four adjacent regions for any one of the divided regions of the input image.
In step S230, the color weakness correction apparatus detects, as the confusion area, an area in which the difference between the first comparison result value and the second comparison result value for the area at the same position in each of the hue abnormal image and the input image is equal to or greater than a predetermined threshold value.
For example, the color weakness correction apparatus can compare the first comparison result value and the second comparison result value corresponding to the same area in the hue abnormal image and the input image with each other. If the threshold value is 2, the second comparison result value is 4, and the first comparison result value is 1, the region can be detected as a confusion region. (4 - 1 = 3, because it is larger than the threshold value of 2).
In another embodiment, the color weakness correction apparatus may select a selection region including a pixel corresponding to the type of color weakness of the color difference anomaly among the plurality of regions included in the input image. At this time, the calculation of the first comparison result value and the second comparison result value (S220) may be performed only for the selection region.
In other words, since the confusion region will exist at a position corresponding to the color medicine kind of the color tone disorderer, the color weakness correction apparatus can preferentially select the discrimination region including the pixels corresponding to the color pencil type among the plurality of regions, have. Then, the color weakness correction apparatus can calculate the first comparison result value and the second comparison result value with respect to the screening area, respectively.
This is because, in order to efficiently detect the confusion region in accordance with the color medicine kind of the color tone disorderer, the first comparison result value and the second comparison result value are not calculated for the area in which there is no pixel corresponding to the color medicine kind of the color tone disorderer So that the time required for the entire color weakness correction process can be saved.
In another embodiment, when the color medicine kind of the color tone disorderer is a red green color, the pixel corresponding to the color medicine kind of the color tone disorderer may be a pixel whose hue value is 0 to 150.0 or 330.0 to 360.0.
That is, when the color-blindness error is a red-green color, the color-blind disorder has a problem of not correctly recognizing red or green pixels. In this case, hue values in the HSL color space corresponding to the red or green series pixels are 0 to 150.0 or 330.0 to 360.0 with reference to FIG.
FIG. 3 is a flowchart illustrating a method of determining a color weakness rate according to an exemplary embodiment of the present invention.
In step S310, the color weakness correction apparatus generates a plurality of color correcting images in which the sample input image for measuring the color weakness ratio is corrected based on each of the plurality of different color weakness ratios.
For example, if the color weakness ratio ranges from 0 to 1, the color weakness correction apparatus generates seven color correcting images for a total of seven color weakness ratios in 0.1 unit from 0.1 to 0.7. At this time, a color image defect having a color weakness ratio exceeding 0.7 has some degree of color image defect, but it may not be necessary to correct it.
In step S320, a color-correcting image whose color is most clearly recognized among the plurality of generated color-correction images is selected from the color-blinders.
For example, from among the seven color tone correction images in which a certain color tone error has been generated, one color tone correction image that can most clearly recognize the color can be selected and transmitted to the color correction apparatus.
In step S330, the color weakness correction apparatus determines the color weakness ratio corresponding to the selected color correcting image as the color weakness ratio of the color difference aberration correcting image.
The color weakness correction apparatus can determine which color weakness correction image has been generated by the selected color weakness rate and determine the color weakness rate as the color weakness rate of the color weakness image.
In another embodiment, the color weakness correction apparatus may receive the color weakness rate information including information on the color weakness rate from the color difference anomaly.
For example, if a certain color-blind person already knows his or her own color weakness rate through the color weakness rate measuring process corresponding to FIG. 3, a separate color weakness rate measuring process may be unnecessary for the color weak-blind person. At this time, the color weakness correction apparatus can receive information about the color weakness rate that the color weakness compensator knows from the color weakness badger.
4 is a view for explaining a color weakness correction apparatus according to an embodiment of the present invention.
4, a color
On the other hand, the color
The abnormal
In another embodiment, the abnormal
In another embodiment, the hue / hue image may be generated by linearly reducing at least one hue component corresponding to the color weakness type of the color difference anomaly in the selected pixel based on the color weakness rate.
The confusion
In another embodiment, the
In another embodiment, the confusion
The
In another embodiment, the
In yet another embodiment, the color weakness ratio of the color difference aberration is calculated from a plurality of different color weakness correction images generated based on each of a plurality of different color weakness ratios from a sample input image for color weakness ratio measurement, As shown in FIG.
The above-described embodiments of the present invention can be embodied in a general-purpose digital computer that can be embodied as a program that can be executed by a computer and operates the program using a computer-readable recording medium.
The computer readable recording medium includes a magnetic storage medium (e.g., ROM, floppy disk, hard disk, etc.), optical reading medium (e.g., CD ROM, DVD, etc.).
The present invention has been described with reference to the preferred embodiments. It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims. Therefore, the disclosed embodiments should be considered in an illustrative rather than a restrictive sense. The scope of the present invention is defined by the appended claims rather than by the foregoing description, and all differences within the scope of equivalents thereof should be construed as being included in the present invention.
Claims (15)
Detecting at least one confusion region in which a coloring phenomenon occurs in the color blind person based on pixel values of the input image and the color blind abnormal image; And
Generating a color correction image in which a pixel value of a pixel belonging to a corresponding region corresponding to the at least one confusion region in the input image is corrected based on the color weakness rate;
Wherein the color weakness correction method comprises:
Wherein the step of generating the hue /
Selecting a pixel corresponding to the type of color pencil of the hue shifter among the pixels of the input image; And
Converting the at least one color component of the selected pixel based on the color weakness rate to generate the hue abnormal image
Wherein the color weakness correction method comprises:
Wherein the step of generating the hue /
And at least one color component corresponding to the color medicine kind of the color difference signal is linearly reduced in the selected pixel based on the color weakness rate.
The step of detecting the confusion region
Dividing each of the input image and the hue abnormal image into a plurality of regions of the same type;
Calculating a first comparison result value and a second comparison result value, which are comparison results based on pixel values of the hue-aberration image and the input image, the pixel values being adjacent to each other in the divided area; And
Detecting, as the confusion region, an area in which a difference between the first comparison result value and the second comparison result value with respect to an area at the same position in the hue abnormal image and the input image is greater than or equal to a predetermined threshold value;
Wherein the color weakness correction method comprises:
The step of detecting the confusion region
Selecting a selection region including a pixel corresponding to the color medicine type of the color difference disorder from a plurality of regions included in the input image, the selection region including a threshold ratio or more;
Further comprising:
Wherein the step of calculating the first comparison result value and the second comparison result value comprises:
Wherein the discrimination is performed only for the discrimination region.
When the color medicine kind of the color tone disorderer is a red green color,
The pixel corresponding to the color medicine kind of the color tone disorderer
and a hue value of 0 to 150.0 or 330.0 to 360.0.
The step of generating the color correction image
Wherein the confusion region is corrected to a color not corresponding to the color medicine kind of the color tone disorder when the color tone of the color tone disorder is not more than a predetermined threshold.
Generating a plurality of color correction images in which a sample input image for the color mixing ratio measurement is corrected based on each of a plurality of different color weakness ratios;
Selecting one color correction image from among the generated plurality of color correction images; And
Determining a color weakness rate corresponding to the selected color tone correcting image as a color weakness rate of the color difference aberration
Further comprising the steps of:
A confusion region detection unit for detecting at least one confusion region in which a coloring phenomenon occurs in the color difference region based on pixel values of the input image and the hue / And
And a correcting unit for correcting pixel values of pixels belonging to a corresponding region corresponding to the at least one confusion region in the input image based on the color weakness rate,
Wherein the color weakness correcting device comprises:
The abnormal image generation unit
Selecting a pixel corresponding to the type of color weakness of the hue shifter among the pixels of the input image,
And generates at least one color component of the selected pixel based on the color weakness rate to generate the color abnormality image.
The color-difference image
Wherein the color weakness compensating unit is generated by linearly reducing at least one color component corresponding to the color weakness kind of the color blind shifter in the selected pixel based on the color weakness rate.
The confusion area detection unit
The input image and the hue / hue image are divided into a plurality of regions of the same type,
Calculating a first comparison result value and a second comparison result value, which are comparison results based on pixel values of the hue-aberration image and the input image,
And detects a region in which the difference between the first comparison result value and the second comparison result value with respect to an area at the same position in each of the hue abnormal image and the input image is equal to or greater than a predetermined threshold value as the confusion area Device.
The confusion area detection unit
Further comprising the steps of: selecting one of the plurality of regions included in the input image and including a pixel corresponding to the color medicine type of the color-
The first comparison result value and the second comparison result value are
Wherein the discrimination area is calculated only for the discrimination area.
The correction unit
And corrects the confusion region to a color not corresponding to the color medicine kind of the color difference region when the color weakness ratio of the color difference region is less than or equal to a predetermined threshold value.
The color weakness rate of the color tone retarder is
And a color weakness ratio corresponding to one color correcting image selected from a plurality of color correcting images generated based on each of the plurality of different color weakness rates from the sample input image for the color weakness rate measurement.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2022082247A1 (en) * | 2020-10-21 | 2022-04-28 | Bischel Roland | Computer-implemented method for optometric color testing |
| CN115345788A (en) * | 2022-07-22 | 2022-11-15 | 内蒙古工业大学 | Method and device for improving image color contrast under vision of abnormal color vision person |
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| KR100585728B1 (en) | 2003-09-15 | 2006-06-07 | 엘지전자 주식회사 | A method and a apparatus of displaying colour for colour weakness with mobile phone |
| KR100587333B1 (en) | 2003-11-07 | 2006-06-08 | 엘지전자 주식회사 | Method and apparatus of color display for incomplete color blindness |
| KR101485942B1 (en) | 2014-01-13 | 2015-01-27 | 세종대학교산학협력단 | Method, assembly and apparatus for determining a degree of color blindness |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| KR100585728B1 (en) | 2003-09-15 | 2006-06-07 | 엘지전자 주식회사 | A method and a apparatus of displaying colour for colour weakness with mobile phone |
| KR100587333B1 (en) | 2003-11-07 | 2006-06-08 | 엘지전자 주식회사 | Method and apparatus of color display for incomplete color blindness |
| KR101485942B1 (en) | 2014-01-13 | 2015-01-27 | 세종대학교산학협력단 | Method, assembly and apparatus for determining a degree of color blindness |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2022082247A1 (en) * | 2020-10-21 | 2022-04-28 | Bischel Roland | Computer-implemented method for optometric color testing |
| CN115345788A (en) * | 2022-07-22 | 2022-11-15 | 内蒙古工业大学 | Method and device for improving image color contrast under vision of abnormal color vision person |
| CN115345788B (en) * | 2022-07-22 | 2024-02-20 | 内蒙古工业大学 | Method and device for improving image color contrast under vision of person with color vision abnormality |
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