KR102119578B1 - Color correction apparatus for colorimetric method and method thereof - Google Patents

Abstract

The present specification discloses an apparatus and a method for correcting an input color value so as to calculate an accurate value when measuring a value of a component in blood through a colorimetry. A color developing compound used to measure the value of the component in the blood through the colorimetry exhibits color development in proportion to an amount of the component in the blood. A reaction area is photographed using a camera, and the value of the component in the blood can be calculated through an RGB value of the photographed image. At this time, the higher the hematocrit (or blood viscosity) value, the more an effect on the RGB value for calculating the value of the component in the blood using the colorimetry. Therefore, accurate calculation of a value of a component in the blood through an RGB value corrected with an effect on hematocrit.

Description

Color correction device and method for more accurate colorimetry {COLOR CORRECTION APPARATUS FOR COLORIMETRIC METHOD AND METHOD THEREOF}

The present invention relates to a field for calculating the value of a component in blood through a colorimetric method, and more specifically, a more accurate component value in blood in relation to a colorimetric method capable of calculating a component value in blood through a color change of a reaction reagent. It relates to an apparatus and method for correcting an input color value to be calculated.

In order to test specific values through samples such as blood, urine, and saliva, a measurement method using a test strip, that is, a sensor strip (bio sensor strip) is used. For example, in the case of blood glucose measurement, the sensor strip is inserted into the inlet of the blood glucose meter, the tip of the finger is taken, and a small amount of blood collected is injected into the sensor strip. The sensor strip has a membrane coated with reagent (Membrae). The injected blood reacts with the reagent, and blood sugar can be numerically calculated through a measuring device according to the reaction degree.

1 is an exemplary view of a measuring device capable of performing a colorimetric method using a camera of a smartphone.

Referring to Figure 1, it can be seen that the sensor strip is mounted in front of the camera of the smartphone. The reagent applied to the sensor strip generates a color reaction in proportion to the blood sugar level, which is a device that analyzes it by photographing it with a camera. The reaction of the reagents will be described in more detail below.

[Reaction formula]

That is, the color developing compound (MAOS) appears blue according to the blood sugar level. The bio-measuring device using the camera of the smart phone can measure blood sugar by measuring the amount of blue in the image captured by the camera and converting it into blood sugar. A method that can measure the level of a component (eg, blood sugar) in the blood through color is called colorimetry (COLORIMETRIC METHOD).

On the other hand, it is known that the viscosity of hematocrit and blood has a correlation.

2 is a graph showing the correlation between hematocrit and the viscosity of blood.

Hematocrit (hematocrit) is the ratio of the volume of blood cells in the blood, which is known to be about 45% in men and about 40% in women in healthy adults, but in people with high blood sugar levels, such as diabetics, It is generally known to have a high blood viscosity, referring to Fig. 2. As the viscosity of the blood increases, it can be seen that the hematocrit level increases together.The higher the hematocrit level, the less the amount of plasma separated from the blood cells. , The higher the viscosity of blood, the slower the absorption rate into the membrane in the sensor strip. As a result, the flow rate of blood affects the reaction rate of components and reagents in the blood, making it difficult to accurately measure the values of components in the blood. will be.

Republic of Korea Registered Patent Publication No. 10-1062356 (2011.08.30)

It is an object of the present specification to provide an apparatus and method for correcting an input color value so that a more accurate value can be calculated when measuring a value of a component in blood through color change of a reaction reagent.

This specification is not limited to the above-mentioned problems, and other problems not mentioned will be clearly understood by those skilled in the art from the following description.

A color correcting apparatus for a colorimetric method according to the present specification for solving the above-mentioned problems includes a camera that outputs an image according to a control signal; A memory unit storing color value bias correlation data according to the green gradient; And a green gradient using the green value of each image within two images photographed at different time points, and a color development value from the calculated green gradient using the color value bias correlation data according to the green gradient. And a controller configured to calculate a bias and correct the color development value using the calculated color value bias.

According to one embodiment of the present specification, the control unit may output a control signal so that the camera outputs an image at a preset shooting time. In this case, the two images used for calculating the green gradient may be images having the preset shooting time interval.

For example, the preset shooting time is 200 ms, and the two images used to calculate the green gradient may be selected based on the image taken 2 seconds after the shooting start time.

According to one embodiment of the present specification, the color value corrected using the calculated color value bias may be a color value of an image different from the image for calculating the green gradient.

For example, the color value corrected using the calculated color value bias may be selected based on an image taken 15 seconds after the start time of the image.

In the color correcting apparatus according to the present specification, the memory unit may further store correlation data of component values in blood according to color development values. In this case, the control unit may further calculate the component value in the blood from the corrected color development value by using the correlation value of the component value in the blood according to the color development value.

The color correction device according to the present specification may be a component of a blood component measurement device including a color correction device.

The blood component measuring device according to the present specification may be a component of a mobile communication terminal including a blood component measuring device. In this case, the housing surrounding the outside of the mobile communication terminal may be formed with a coupling portion to which the sensor strip is coupled. In addition, the coupling portion may be formed at a position where the camera can photograph the sensor strip when the sensor strip is coupled.

The color correction method for the colorimetric method according to the present specification for solving the above-described problem is a device including a camera for outputting an image according to a control signal, a memory unit for storing color value bias correlation data according to a green gradient, and a control unit As a method of correcting color using (a), the control unit calculates a green gradient using green values of each image in two images photographed at different times; (b) the controller calculating a color value bias from the calculated green gradient using the color value bias correlation data according to the green gradient; And (c) the controller correcting the color value using the calculated color value bias.

The color correction method according to the present specification may further include, before the step (a), the control unit outputting a control signal so that the camera outputs an image at a preset shooting time. In this case, the step (a) may be a step in which the control unit calculates the green gradient using an image having the preset shooting time interval.

For example, the preset shooting time is 200 ms, and the two images used to calculate the green gradient may be selected based on the image taken 2 seconds after the shooting start time.

According to an embodiment of the present specification, in step (c), the color value corrected using the calculated color value bias may be a color value of an image different from the image for calculating the green gradient.

According to an embodiment of the present disclosure, step (c) may be a step of correcting the color development value of the image captured 15 seconds after the photographing start time by using the color value bias calculated by the controller.

When the memory unit further stores the component numerical correlation data in the blood according to the color development value, the color correction method according to the present specification includes: (d) the controller corrects the component numerical correlation data in the blood according to the color development value. Calculating the component value in the blood from the color development value; may further include.

The color correction method according to the present specification may be implemented as a computer program written on a computer readable recording medium prepared to perform each step of the color correction method.

Other specific matters of the present invention are included in the detailed description and drawings.

According to the present specification, it is possible to more accurately calculate the component values in the blood when calculating the component values in the blood through the colorimetric method.

The effects of the present invention are not limited to the effects mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the following description.

1 is an exemplary view of a measuring device capable of performing a colorimetric method using a camera of a smartphone.
2 is a graph showing the correlation between hematocrit and the viscosity of blood.
3 is a numerical graph of red and green values according to a standard solution.
4 is a graph for a correlation between a red value bias and a green value.
5 is a graph of changes in blood glucose levels according to red values before and after correction and red values after correction.
6 is a graph of the relationship between hematocrit and green gradient.
7 is a graph of the correlation between the green gradient and the red value bias.
8 is a block diagram schematically showing the configuration of a color correction device according to the present specification.
9 is a flowchart of a color correction method according to an embodiment of the present specification.
10 is an example of an RGB value according to a photographing time point.

Advantages and features of the invention disclosed in the present specification, and a method of achieving them will be apparent by referring to embodiments described below in detail with reference to the accompanying drawings. However, the present specification is not limited to the embodiments disclosed below, but may be implemented in various different forms, and only the embodiments allow the disclosure of the present specification to be complete, and are common in the technical field to which the present specification belongs. It is provided to fully describe the scope of the present specification to a technician (hereinafter'the person'), and the scope of rights of the present specification is only defined by the scope of the claims. Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

Applicants have found that in order to more accurately calculate the value of a component in blood through colorimetric method (COLORIMETRIC METHOD), the color value (hereinafter referred to as'color value') due to a color developing compound in image data must be corrected. In digital images, various colors are expressed using R (red), G (green), and B (blue). It was previously described that the higher the hematocrit, the less the amount of plasma that reacts with the reagents. Therefore, it is necessary to adjust the color value in the digital image of the color compound in order to calculate the value of the component in the blood from the color value.

On the other hand, there are various components in blood that can be measured through colorimetry. For example, red blood cells (Hemo), uric acid (UA), blood sugar (Glu), total cholesterol (TC), low density lipoprotein (LDL), high density lipoprotein (HDL), triglyceride (TRIG), gamma glutamyl transpeptidase (GGT), alanine aminotransferase (ALT), aspartic acid aminotransferase (AST), alkaline phosphatase (ALP), bile duct ligation (BDL), indirect bilirubin (DBIL), direct bilirubin (TBIL), total protein (TP) ), albumin (ALB), blood urea nitrogen (BUN), amylase (AMY), creatinine (CREA), free radicals (associated with antioxidant power), and electrolytes (Na, K, Cl). However, in this specification, for convenience of understanding, blood glucose (Glucose) among the components in the blood will be described as an example. However, the color correcting apparatus and method for the colorimetric method according to the present specification are not limited to the above-mentioned blood sugar.

Meanwhile, the types of chromogenic compounds that react with the sugar component in the blood are various, and may have different chromogenic values. For example, in the case of the combination of MAOS and 4-APP, the color development value has a wavelength of 630 nm (blue) while meeting with blood. As another example, in the case of the combination of TOOS and 4-APP, the color development value has a wavelength of 555 nm (purple) while meeting with blood. As another example, the combination of DAOS and 4-APP has a wavelength of 593 nm (light blue) while encountering blood. All colors have a complementary color relationship. Therefore, when a color developing compound reacting with blood is photographed with a camera, the color development value expressed in RGB is not accurately expressed by complementary color.

Hereinafter, a color correction apparatus and method for a colorimetric method according to the present specification will be described through an example in which MAOS and 4-APP are combined as a coloring compound. Accordingly, red, which is a complementary relationship with blue, will be mainly referred to as an exemplary color. However, the color correction method and apparatus for the colorimetric method according to the present specification are not limited to the above examples.

<Criteria for calibration using standard solution>

The applicant first made a calibration standard for red and green values using a standard solution. The standard solution means a solution without red blood cells and having a known sugar level in advance. After reacting the standard solution and the reagent, this was photographed with a digital camera, and the relationship between the red value and the sugar value in the captured image and the relationship between the green value and the sugar value were investigated.

3 is a numerical graph of red and green values according to a standard solution.

Referring to FIG. 3, a relationship graph between a red value and a sugar value and a relationship graph between a green value and a sugar value can be confirmed. In the graph, the X-axis is a numerical value according to the color coordinate system. As the color coordinate system, an RGB color coordinate system, a CIE 1931 color coordinate system, XYZ, YIQ, and YUV may be used. However, in this specification, each color will be described as having an RGB coordinate system with values ranging from 0 to 255. However, the color coordinate system to be described herein is only an example, and the specification is not limited to the above example.

<Correlation of red value bias and green value>

Next, the applicant made a correlation with respect to the red value bias through an experiment using real blood. Each blood used in the experiment knows each blood sugar value through a separate blood glucose measurement device. And after reacting each blood and the reagent, it was photographed with a digital camera, and the red value (R value) and green value (G value) in the captured image were measured.

If only pure plasma components were reacted with the reagent, the red value in the experiment with blood and the red value in the experiment with standard solution should be the same. However, in the experiment using real blood, the red color noise of red blood cells occurs due to the difference in the characteristics of the blood cells between the subjects, and this noise inhibits the blue color development of the chromogenic compound and causes a bias in the red region measurement value. Therefore, the red value bias can be expressed as follows.

[Mathematics]

4 is a graph for a correlation between a red value bias and a green value.

Referring to FIG. 4, it can be seen that the red value bias and the green value have an inverse relationship. That is, as the red value of the actual blood is not accurately measured, it can be seen that the green value is also not accurately measured. Therefore, when correcting the correct red value according to the red value bias, an accurate blood sugar value can be calculated.

5 is a graph of changes in blood glucose levels according to red values before and after correction and red values after correction.

Referring to (a) of FIG. 5, it is possible to check before and after correction of the red value according to the red value bias. And, referring to (b) of FIG. 5, it is possible to check the converted blood sugar value according to the red value before correction and the red value after correction. As an example, suppose that there is a measurement result in which the red value before correction is 80 and the red value after correction is 100. When the red value before correction is 80, the converted blood sugar level may be about 358.3. However, in the case of a red value after correction, the converted blood sugar level is about 292.0. In this case, the error rate is high enough to correspond to 22.7%. Therefore, a process of correcting the red value through the red value bias is necessary.

<Calculate the red value bias>

As described above, if the red value bias is known in each measurement, it is possible to calculate a more accurate blood sugar level. However, in the absence of a separate measuring device capable of directly measuring the hematocrit, such as a measuring device using the smartphone shown in FIG. 1, it is difficult to find the red value bias every time. In addition, even if there is a Hematcret measurement device, it is less realistic for a general smartphone user who is a non-professional medical practitioner or a non-professional researcher to find out the hematocrit value using a measurement device.

However, the present applicant has devised a method to indirectly calculate the hematocrit value even in a measuring device equipped only with a camera, such as a smartphone, since the hematocrit value affects plasma velocity in blood.

6 is a graph of the relationship between hematocrit and green gradient.

Referring to FIG. 6, it can be seen that the X-axis is a hematocrit value, and the Y-axis is a graph of a green gradient (G Slope). As described above, the viscosity of the blood changes according to the hematocrit level of the blood, and the reaction rate with the reagent changes according to the viscosity of the blood. The reaction rate of the blood and the reagent can be measured to the extent that the green value changes with time. At this time, the degree to which the green value changes is the'green slope (G slope)'. The green gradient can be expressed by the following equation.

[Mathematics]

7 is a graph of the correlation between the green gradient and the red value bias.

Referring to FIG. 7, it can be seen that the green gradient (G slope) and the red value bias (R value bais) have a linear relationship. The numerical correlation value between the green gradient (G slope) and the red value bias (R value bais) can be obtained through experiments.

The above-described contents are summarized as follows. First, if the green gradient (G slope) can be calculated, a red value bias (R value bais) can be calculated. Red value bias can be used to correct the actual red value. The corrected blood sugar level can be calculated through the corrected red value.

Hereinafter, a color correction apparatus and method for a colorimetric method will be described based on the above-described technical contents. However, as described above, the color correction device and method according to the present specification are not limited to'red', which was the color of interest when using MAOS and 4-APP, which are examples of glucose and chromophoric compounds in the blood. Highlight again.

8 is a block diagram schematically showing the configuration of a color correction apparatus for a colorimetric method according to the present specification.

Referring to FIG. 8, a color correction apparatus 100 for a colorimetric method according to the present specification may include a camera 110 memory unit 120 and a control unit 130.

The camera 110 may output an image according to a control signal from the controller 130. On the other hand, the color correction apparatus 100 for the colorimetric method according to the present specification may be a component of a blood component meter or a mobile communication terminal (eg, a smart phone). In this case, a coupling part (not shown) in which a sensor strip is coupled may be formed in a housing surrounding the outside of a blood component measuring device or a mobile communication terminal. The camera 110 is used for photographing the reaction of blood and reagents in the sensor strip, and the coupling portion may be formed at a position where the camera 110 can photograph the sensor strip when the sensor strip is coupled ( 1).

The memory unit 120 may store color value bias correlation data according to the green gradient. The'green gradient' and'color value bias' and their correlations have been described through the correlation between'green gradient' and'red value bias', and thus repeated description will be omitted. The color value bias correlation data according to the green gradient may be stored in the form of a data table or in the form of an equation.

According to an embodiment of the present disclosure, the memory unit 120 may further store numerical correlation data of components in blood according to the color development value. Regarding the'color value' and the'value correlation data of the components in the blood according to the color value', the description is made through'red value' and'value correlation data of the components in the blood according to the red value', so repeated description will be omitted. . The component correlation data in blood according to the color value may be stored in the form of a data table or in the form of an equation.

The control unit 130 may output a control signal for controlling the camera 110. In addition, the control unit 130 may be configured to perform an algorithm according to a color correction method for a colorimetric method described below.

Hereinafter, a color correction method for the colorimetric method according to the present specification will be described. However, in describing the color correction method for the colorimetric method according to the present specification, repeated description of each component of the color correction device 100 for the colorimetric method will be omitted.

9 is a flowchart of a color correction method for a colorimetric method according to an embodiment of the present specification.

Referring to FIG. 9, first, in step S100, the camera 110 may continuously output a reaction image of blood and a reagent. To this end, the control unit 130 may output a control signal so that the camera 110 outputs an image every preset shooting time (eg, 200 ms). Preferably, the imaging may start from the moment when blood and reagents begin to react.

In the next step S110, the controller 130 may calculate the green gradient using the green values of each image in two images captured at different times.

According to an embodiment of the present disclosure, the two images used to calculate the green gradient may be images having the preset shooting time interval, that is, two images continuously photographed.

10 is an example of an RGB value according to a photographing time point.

Referring to FIG. 10, it can be confirmed that RGB values are described for each image. Each value can have a value between 0 and 255, and the shooting interval is 200 ms. Preferably, the two images used to calculate the green gradient may be selected based on the image taken 2 seconds after the start time of the shooting. Therefore, when applied to the example shown in FIG. 10, an image photographed at 1977 ms and an image photographed at 2207 ms may be used. The green values of each of these two images are '195' and '192'. Therefore, when calculating the green gradient, -0.01304 (= (192-195) / (2207-1977) ).

According to another embodiment of the present specification, the two images used for calculating the green gradient may be an image having a difference of N (N is a natural number greater than or equal to 2) times the preset shooting time interval.

In the next step S120, the controller 130 may calculate a color value bias from the calculated green gradient using the color value bias correlation data according to the green gradient.

Referring back to FIG. 7, when the color value bias (red) is calculated from -0.01304, which is an exemplary value of the green gradient, 0.89 may be calculated.

In the next step S130, the control unit 130 may correct the color development value using the calculated color value bias.

At this time, the color value corrected by using the calculated color value bias may be a color value of an image different from the image for calculating the green gradient. Preferably, the color value corrected using the calculated color value bias may be selected based on an image taken 15 seconds after the start time of the image. The 15 seconds is a sufficient time to consider that the reaction of blood and reagents is completely completed, and the time may be variously set depending on the type of reagent.

Referring back to the example illustrated in FIG. 10, the image to be corrected is an image photographed at 15070 ms, and the color value (red) that is the object to be corrected is 155. When the color value (red) 155 is calculated using 0.89 as an example of a color value bias (red), the color value (red) is corrected to 138 (=155*0.89).

On the other hand, the color correction is a correction for calculating an accurate component value in blood. Accordingly, the memory unit 120 may further store correlation data of component values in blood according to the color development value. In this case, the control unit 130 may further calculate the component value in the blood from the corrected color value using the correlation value of the component value in the blood according to the color development value (step S140).

Referring back to the example shown in FIG. 5, the blood sugar value calculated from the corrected color development value (red) 138 is 166.20. On the other hand, the blood sugar value calculated from the color development value (red) 155 before correction is 109.90. In this case, it can be seen that the error range is 51.23% and has a fairly large error value. In particular, the blood sugar value calculated from the color development value (red) before correction is 109, and the user may not correctly judge that the blood sugar level is within the normal range. It is possible to calculate a more accurate blood sugar level through a color correction method and apparatus for the colorimetric method according to the present specification that a large error can be made as a medical measuring device beyond simply a numerical error.

Meanwhile, the above-described control unit may be implemented in the form of a computer program to perform an algorithm of a method for correcting a component color in blood according to the present specification. A computer program is C/C++, C#, JAVA, Python, in which a processor (CPU) of the computer can be read through a device interface of the computer in order for the computer to read the program and execute the methods implemented as a program. It may include code coded in a computer language such as machine language. Such code may include functional code related to a function or the like that defines necessary functions for executing the above methods, and control code related to an execution procedure necessary for the processor of the computer to execute the functions according to a predetermined procedure. can do. In addition, the code may further include a memory reference-related code as to which location (address address) of the internal or external memory of the computer should be referred to additional information or media necessary for the computer's processor to perform the functions. have. Also, when the processor of the computer needs to communicate with any other computer or server in the remote to execute the functions, the code can be used to communicate with any other computer or server in the remote using the communication module of the computer. It may further include a communication-related code for whether to communicate, what information or media to transmit and receive during communication, and the like.

The storage medium refers to a medium that stores data semi-permanently and that can be read by a device, rather than a medium that stores data for a short moment, such as a register, cache, memory, or the like. Specifically, examples of the medium to be stored include, but are not limited to, ROM, RAM, CD-ROM, magnetic tape, floppy disk, and optical data storage device. That is, the program may be stored in various recording media on various servers that the computer can access or various recording media on the computer of the user. In addition, the medium is distributed in a computer system connected by a network, so that the computer readable code may be stored in a distributed manner.

The embodiments of the present specification have been described above with reference to the accompanying drawings, but those skilled in the art to which the present specification pertains may implement the present invention in other specific forms without changing the technical spirit or essential features. You will understand. Therefore, it should be understood that the above-described embodiments are illustrative in all respects and not restrictive.

100: color correction device
110: camera
120: memory unit
130: control unit

Claims (17)

A camera that outputs an image according to a control signal;
Data between the green gradients according to the reaction rate of reagents correlated with the color values (hereinafter referred to as'color value bias') caused by the color compounds in the standard solution compared to the values of the color due to the color compounds in the blood A memory unit that stores'color value bias correlation data'); And
The green gradient is calculated using the green values of each image within two images photographed at different time points, and the color value bias is calculated from the calculated green gradient using the color value bias correlation data according to the green gradient. And a control unit for calculating and correcting a color development value by using the calculated color value bias. The method according to claim 1,
The control unit,
The control signal is output so that the camera outputs an image at a preset shooting time,
Color correction apparatus for colorimetric method, characterized in that the two images used to calculate the green gradient is an image having the preset shooting time interval. The method according to claim 2,
The preset photographing time is 200 ms, and the two images used for calculating the green gradient are selected based on the photographed image 2 seconds after the photographing start time. The method according to claim 1,
The color correcting apparatus for a colorimetric method, characterized in that the color value corrected by using the calculated color value bias is a color value of an image different from the image for calculating the green gradient. The method according to claim 4,
A color correction device for a colorimetric method, characterized in that the color value corrected by using the calculated color value bias is selected based on an image taken 15 seconds after the start time of shooting. The method according to claim 1,
The memory unit further stores the correlation data of the components of the blood according to the color development value,
The control unit, the color correction device for the colorimetric method, characterized in that further calculates the component value in the blood from the corrected color value using the correlation value of the component value in the blood according to the color value. Claims 1 to 6 of the component measurement device in the blood comprising a color correction device for the colorimetric method according to any one of claims. Mobile communication terminal comprising a component in the blood according to claim 7. The method according to claim 8,
The housing surrounding the outside of the mobile communication terminal is a mobile terminal characterized in that the coupling portion is formed with a sensor strip. The method according to claim 9,
The coupling unit, the mobile terminal, characterized in that formed in a position where the camera can take the sensor strip when the sensor strip is coupled. A camera that outputs an image according to the control signal, the reaction rate of the reagent correlating with the value of the color that appears due to the color compound in the standard solution (hereinafter referred to as'color value bias') As a method of correcting the color for the colorimetric method using a device including a memory unit and a control unit that stores data (hereinafter, “color value bias correlation data”) between the green gradients according to the method,
(a) the controller calculating a green gradient using green values of each image in two images photographed at different time points;
(b) the controller calculating a color value bias from the calculated green gradient using the color value bias correlation data according to the green gradient; And
(c) the control unit correcting the color value using the calculated color value bias; a color correction method for a colorimetric method. The method according to claim 11,
Before step (a),
The control unit further comprises the step of outputting a control signal so that the camera outputs an image at a preset shooting time.
The step (a) is a color correction method for a colorimetric method, characterized in that the control unit calculates the green gradient using the image having the preset shooting time interval. The method according to claim 12,
The preset shooting time is 200 ms, and the two images used for calculating the green gradient are selected based on the image taken 2 seconds after the shooting start time. The method according to claim 11,
In the step (c), a color correction method for a colorimetric method characterized in that the color value corrected using the calculated color value bias is a color value of an image different from the image for calculating the green gradient. The method according to claim 14,
The step (c) is a color correction method for a colorimetric method, characterized in that the control unit corrects the color development value of the image captured 15 seconds after the shooting start time by using the calculated color value bias. The method according to claim 11,
The memory unit further stores the correlation data of the components of the blood according to the color development value,
(d) calculating, by the control unit, the component value in the blood from the corrected color value using the component value correlation data in the blood according to the color value; a color correction method for a colorimetric method further comprising. A computer program written in a computer readable recording medium, which is prepared to perform each step of a color correction method for a colorimetric method according to any one of claims 11 to 16 in a computer.

Images