A device for detecting acne quantification information

Abstract

A method and device for detecting acne quantitative information, the method comprising: based on optical imaging technology, acquiring coordinate information of each area acne and corresponding physical characteristic information, the physical characteristic information at least including fluorescence intensity signal and light intensity signal; acquiring physiological characteristic information of each area acne according to the physical characteristic information of the area acne, the physiological characteristic information including bacterial content and blood oxygen saturation; wherein the bacterial content of acne is acquired based on the fluorescence intensity signal, and the blood oxygen saturation of acne is acquired based on the light intensity signal; fitting calculation is carried out based on the physiological characteristic information of each area acne, and a quantitative detection result for representing the lesion degree of acne is obtained. In this application, through the fitting operation of the physical characteristic information and the physiological characteristic information, the fitting result is calculated, the fitting result is used for quantitative detection of acne, so as to classify and grade, so as to be able to objectively detect acne and improve the detection accuracy of acne.

Description

Technical Field

[0001] This application relates to the field of skin detection technology, and in particular to a method for detecting quantitative information about acne. Background Technology

[0002] Accurately assessing the severity of skin diseases plays a vital role in the medical field. Acne is the most common skin disease, with the highest incidence during adolescence.

[0003] The relevant technologies mainly rely on subjective observation and experience-based judgment, resulting in a lack of objectivity. Furthermore, different people often have different test results for the same type of acne, leading to testing errors and hindering effective acne detection.

[0004] Therefore, how to solve the above problems has become a technical problem that urgently needs to be solved by those skilled in the art. Summary of the Invention

[0005] The purpose of this application is to provide a method for detecting quantitative information about acne.

[0006] To address the aforementioned problems, according to the first aspect of this application, this application provides a method for detecting quantitative information of acne, comprising: acquiring coordinate information of acne in various regions and their corresponding physical characteristic information based on optical imaging technology, wherein the physical characteristic information includes at least fluorescence intensity signal and light intensity signal;

[0007] Physiological characteristic information of acne in each region is obtained based on the physical characteristic information of acne in each region. The physiological characteristic information includes at least bacterial content and blood oxygen saturation. Among them, bacterial content of acne is obtained based on fluorescence intensity signal, and blood oxygen saturation of acne is obtained based on light intensity signal.

[0008] Based on the physiological characteristics of acne in each region, a fitting calculation is performed to obtain a quantitative detection result that represents the degree of acne lesions.

[0009] In some embodiments, the quantitative detection result is obtained by fitting the calculation condition a(x) = c1×b(x) + c2×s(x); where a(x) is the quantitative detection result, c1 and c2 are the coefficients corresponding to bacterial content and blood oxygen saturation, b is the bacterial content of acne, s is the blood oxygen saturation of acne, x is the regional coordinate information of acne sample, b(x) is the bacterial content of acne region x, and s(x) is the blood oxygen saturation of acne region x.

[0010] In some embodiments, the physiological characteristic information also includes melanin, collagen, and / or water.

[0011] In some embodiments, a quantitative detection result representing the degree of acne lesions is obtained by fitting calculations based on the blood oxygen saturation, bacterial content, and melanin content of acne in each region.

[0012] In some embodiments, the quantitative detection results are obtained by fitting the calculation condition a(x) = c1×b(x) + c2×s(x) + c3×m(x); where c3 is the coefficient corresponding to melanin, and m is the melanin content of acne; where m(x) is the melanin content of acne region x.

[0013] In some embodiments, fitting calculations are performed based on the blood oxygen saturation, bacterial content, melanin content, and collagen content of acne in each region.

[0014] In some embodiments, the quantitative detection results are obtained by fitting the calculation condition a(x) = c1×b(x) + c2×s(x) + c3×m(x) + c4×p(x); where c4 is the coefficient corresponding to collagen, and p is the collagen content of acne; where p(x) is the collagen content of acne region x.

[0015] In some embodiments, the calculations are fitted based on the blood oxygen saturation, bacterial content, melanin content, collagen content, and water content of acne in each region.

[0016] In some embodiments, the quantitative detection results are obtained by fitting the calculation condition a(x) = c1×b(x) + c2×s(x) + c3×m(x) + c4×p(x) + c5×w(x); where c5 is the coefficient corresponding to the water content, and w is the water content of the acne; where w(x) is the water content of the acne area x.

[0017] In some embodiments, the method further includes: performing a weighted calculation based on the quantitative detection results and physical characteristic information to obtain a weighted calculation result representing the quantitative classification of acne lesions.

[0018] In some embodiments, a weighted calculation is performed using the weighted calculation condition A(x) = W1(x) × a(x) + W2(x) × p1(x) + W3(x) × p2(x) + B(x); where A(x) is the weighted calculation result, W1(x) is the weight of the quantitative detection result a(x) in the acne region x, W2(x) is the weight of the fluorescence signal p1(x) in the acne region x, W3(x) is the weight of the corresponding hemoglobin light intensity signal p2(x) in the acne region x, p1(x) is the fluorescence signal in the acne region x, p2(x) is the corresponding hemoglobin light intensity signal in the acne region x, and B(x) is the constant term corresponding to the acne region x.

[0019] The above-mentioned technical solution of this application has the following beneficial technical effects:

[0020] In this application, on the one hand, physiological characteristic information includes bacterial content and blood oxygen saturation. Physiological characteristic information is extracted through physical characteristic information and fitted calculation is performed. The fitting results are used to quantitatively detect acne for classification and grading, thereby enabling objective detection of acne quantitative information and improving the accuracy of acne quantitative information detection. Attached Figure Description

[0021] Figure 1 This is a flowchart of a detection method for providing quantitative information on acne according to one embodiment of this application;

[0022] Figure 2 This is a structural diagram of a detection device that provides quantitative information on acne according to one embodiment of this application. Detailed Implementation

[0023] To make the objectives, technical solutions, and advantages of this application clearer, the application will be further described in detail below with reference to specific embodiments and accompanying drawings. It should be understood that these descriptions are merely exemplary and not intended to limit the scope of this application. Furthermore, descriptions of well-known structures and technologies are omitted in the following description to avoid unnecessarily obscuring the concepts of this application.

[0024] The terminology used in one or more embodiments of this application is for the purpose of describing particular embodiments only and is not intended to limit the scope of one or more embodiments of this application. The singular forms “a,” “the,” and “the” used in one or more embodiments of this application and in the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term “and / or” used in one or more embodiments of this application refers to and includes any or all possible combinations of one or more associated listed items.

[0025] It should be understood that although the terms first, second, etc., may be used to describe various information in one or more embodiments of this application, such information should not be limited to these terms. These terms are only used to distinguish information of the same type from one another. For example, first may also be referred to as second without departing from the scope of one or more embodiments of this application, and similarly, second may also be referred to as first. Depending on the context, the word "if" as used herein may be interpreted as "in response to a determination".

[0026] The present application will now be described in detail with reference to the accompanying drawings and embodiments.

[0027] In one embodiment, such as Figure 1 As shown, this application provides a method for detecting quantitative information about acne, including:

[0028] S101. Based on optical imaging technology, obtain the coordinate information of acne in each region and its corresponding physical characteristic information, wherein the physical characteristic information includes at least fluorescence intensity signal and light intensity signal;

[0029] In some embodiments, fluorescence intensity signals and light intensity signals of acne are acquired using a multimodal optical imaging system. Further, the light intensity signal is a hemoglobin light intensity signal.

[0030] In some embodiments, an imaging system is used to image the patient's face to extract acne samples; wherein, the coordinate information of each acne area on the face, as well as the corresponding physical property information, is obtained from the facial image. The physical property information includes, but is not limited to, the fluorescence intensity and light intensity signal of the acne.

[0031] In some embodiments, based on in vitro experiments, the bacteria and bacterial secretions contained in all skin acne samples are identified; acne samples are extracted for spectral analysis to obtain the fluorescence spectra of the acne samples in order to establish a bacterial spectral database.

[0032] In some embodiments, principal component analysis of skin acne samples is performed using a multispectral imaging system to detect fluorescence intensity signals on the acne.

[0033] Furthermore, the corresponding bacterial content, bacterial concentration, and species are calculated based on the detected fluorescence intensity signal; among them, the bacterial content is physiological characteristic information of acne, and the fluorescence intensity signal is physical characteristic information.

[0034] Specifically, acne-causing bacteria secrete fluorescent porphyrins, and different bacteria secrete different porphyrins, resulting in different fluorescence spectra. Furthermore, through in vitro experiments, we identified all the bacteria that may be present in acne and their secretions. Samples were extracted and subjected to spectral analysis to obtain all fluorescence spectra, establishing a spectral database of known bacteria to provide a benchmark for subsequent bacterial detection. Further, using a multispectral imaging system, we performed principal component analysis on acne skin, detecting fluorescence intensity signals on the acne to calculate the corresponding bacterial content, concentration, and species. Bacterial content, concentration, and species represent our physiological characteristics, while fluorescence intensity signals represent physical characteristics.

[0035] In some embodiments, the physical property information also includes the appearance, size, depth, absorption, scattering, color, and polarization state of the acne. The depth of the acne represents its length extending under the skin; the absorption of the acne represents its varying ability to absorb light; and the scattering of the acne represents a physical quantity indicating the density of the acne—generally, the harder the acne, the larger its scattering coefficient.

[0036] In some embodiments, a physical imaging system (with multispectral, fluorescence, and polarization detection capabilities) is used to image a large number of acne lesions of different types and grades, extracting their physical properties, such as fluorescence intensity and light intensity signals. Artificial intelligence technology is then used to establish the relationship between different types and grades of acne and the aforementioned physical properties and other physical information. Furthermore, the physical imaging system can also be used to acquire the size, depth, color, and polarization state of the acne lesions.

[0037] S102. Obtain the physiological characteristic information of acne in each region based on the physical characteristic information of acne in that region. The physiological characteristic information includes at least bacterial content and blood oxygen saturation. The bacterial content of acne is obtained based on the fluorescence intensity signal, and the blood oxygen saturation of acne is obtained based on the light intensity signal.

[0038] In some embodiments, obtaining the bacterial content of acne based on fluorescence intensity signals includes:

[0039] Using formula: b ; Calculate the bacterial count in acne.

[0040] Where b(x) represents the bacterial content in the acne area x, c is a constant, i (pixel or grid point, i.e., coordinate information) is the pixel index in the area, p is the fluorescence intensity signal (i.e., physical property information) on each pixel, and th is a preset threshold constant.

[0041] In some embodiments, the blood oxygen saturation of acne is obtained based on light intensity signals, including:

[0042] The formula for calculating blood oxygen saturation is as follows:

[0043]

[0044] In the formula above, sO2 represents blood oxygen saturation, C represents concentration, HbO2 represents oxygenated hemoglobin, HbR represents deoxygenated hemoglobin, p represents the light intensity signal (physical property information) of hemoglobin measured by the imaging system, ε is the molar extinction coefficient, and λ represents wavelength. Note that the calculation of the above formula is performed on each pixel in the image (i.e., the coordinate information is established by the pixel, and the pixel can be determined by the resolution). λ1 represents a specific wavelength, and λ2 represents another specific wavelength.

[0045] In some embodiments, λ1 and λ2 can be 532nm and 559nm, or 559nm and 570nm.

[0046] In some embodiments, the calculation results of the above conditional expressions are calibrated; wherein, constants are used for calibration.

[0047] S103. Based on the physiological characteristics of acne in each region, a fitting calculation is performed to obtain a quantitative detection result that represents the degree of acne lesions.

[0048] In some embodiments, the quantitative detection result is obtained by fitting the calculation condition a(x) = c1×b(x) + c2×s(x); where a(x) is the quantitative detection result, c1 and c2 are the coefficients corresponding to bacterial content and blood oxygen saturation, b is the bacterial content of acne, s is the blood oxygen saturation of acne, x is the regional coordinate information of acne sample, b(x) is the bacterial content of acne region x, and s(x) is the blood oxygen saturation of acne region x.

[0049] In a specific instance of this application, the values ​​of a(x) and the corresponding acne categories and levels are shown in Table 1 below:

[0050]

[0051] Table 1

[0052] Furthermore, the acne areas on the patient's face include, but are not limited to, region x. Multiple regions can be detected simultaneously. The acne types are labeled for each region of all collected facial samples. Labeling includes region labeling and category and level labeling; that is, acne on the skin is identified and labeled, marking the acne region and its corresponding category and level. After labeling, the corresponding acne categories and levels are quantified. Specifically, Table 1 of a(x) is generated, assigning different acne types a numerical value from 1 to 6 for reference in subsequent statistical calculations of the results a(x).

[0053] The physiological characteristics of each region are calculated based on the coordinate region information and physical characteristic information; specifically refer to the conditional formulas provided above in this application, including bacterial content b(x) and blood oxygen saturation s(x).

[0054] In a specific example provided in this application, the coordinate information and physiological characteristics of an acne region x in a patient's facial image are obtained, and the conditional expression a(x) is calculated using a fitting method to determine which type of acne the skin in this region belongs to.

[0055] Specifically, acne categories include comedones, papules, pustules, nodules, and cysts, and acne grades include grades 1-4. In one case, the results of b(x) and s(x) are both 1, and the corresponding values ​​of c1 and c2 are also 1. We calculate a to be 2. Therefore, referring to Table 1 above, we consider the quantitative detection result of the acne lesion severity to be grade 1 papules.

[0056] In some embodiments, the physiological characteristic information also includes melanin, collagen, and / or water.

[0057] In some embodiments, the collagen concentration and collagen order of acne are obtained based on the scattering and polarization states of the acne.

[0058] Specifically, the state of collagen can be represented by multiple indicators such as its concentration (number) and degree of order (arrangement). When using light to detect acne, collagen concentration can be represented by the intensity of light scattering, while the degree of order in the arrangement needs to be obtained by measuring the polarization state of the light. It should be noted that in order to measure each physiological characteristic (such as collagen), we must find physical properties (light scattering intensity and polarization state) that can characterize and measure that physiological characteristic. Our measurement system then measures these physical properties to obtain the state of the physiological characteristic.

[0059] In some embodiments, a quantitative detection result representing the degree of acne lesions is obtained by fitting calculations based on the blood oxygen saturation, bacterial content, and melanin content of acne in each region.

[0060] In some embodiments, the quantitative detection results are obtained by fitting the calculation condition a(x) = c1×b(x) + c2×s(x) + c3×m(x); where c3 is the coefficient corresponding to melanin, and m is the melanin content of acne; where m(x) is the melanin content of acne region x.

[0061] In a specific example provided in this application, b, s, and m are all 1, c1, c2, and c3 also have values ​​of 1, and we calculate a to be 3. Therefore, referring to Table 1 above, we believe that this corresponds to grade 1 abscess.

[0062] In some embodiments, fitting calculations are performed based on the blood oxygen saturation, bacterial content, melanin content, and collagen content of acne in each region.

[0063] In some embodiments, the quantitative detection results are obtained by fitting the calculation condition a(x) = c1×b(x) + c2×s(x) + c3×m(x) + c4×p(x); where c4 is the coefficient corresponding to collagen, and p is the collagen content of acne; where p(x) is the collagen content of acne region x.

[0064] In a specific example provided in this application, b, s, m, and p are all 1, c1, c2, c3, and c4 also have values ​​of 1, and we calculate a to be 4. Therefore, referring to Table 1 above, we believe that this corresponds to nodule level 1.

[0065] In some embodiments, the calculations are fitted based on the blood oxygen saturation, bacterial content, melanin content, collagen content, and water content of acne in each region.

[0066] In some embodiments, the quantitative detection results are obtained by fitting the calculation condition a(x) = c1×b(x) + c2×s(x) + c3×m(x) + c4×p(x) + c5×w(x); where c5 is the coefficient corresponding to the water content, and w is the water content of the acne; where w(x) is the water content of the acne area x.

[0067] In a specific example provided in this application, b, s, m, p, and w are all 1, and the corresponding values ​​of c1, c2, c3, c4, and c5 are also 1. We calculate a to be 5. Referring to Table 1 above, we believe that this corresponds to cyst grade 1.

[0068] In this application, firstly, physiological characteristic information, including bacterial content and blood oxygen saturation, is extracted from physical characteristic information and fitted to calculate the results. The fitted results are then used to quantitatively detect acne for classification and grading, thereby enabling objective acne detection and improving its accuracy. Secondly, as more physiological characteristic information is incorporated into the fitting calculation, the results become more precise, leading to a more accurate quantitative judgment of acne for classification and grading, thus enabling objective acne detection.

[0069] The above statistical calculation formula is used to calculate the data to obtain a preliminary fitting result. In order to improve the fitting degree of the statistical result and make the fitting result more accurate, in some embodiments, the method for detecting acne quantitative information further includes: S104, performing weighted calculation based on the quantitative detection result and physical characteristic information to obtain a weighted calculation result of quantitative classification representing the degree of acne lesions.

[0070] In some embodiments, a weighted calculation is performed using the weighted calculation condition A(x) = W1(x) × a(x) + W2(x) × p1(x) + W3(x) × p2(x) + B(x); where A(x) is the weighted calculation result, W1(x) is the weight of the quantitative detection result a(x) within the acne region x, W2(x) is the weight of the fluorescence signal p1(x) within the acne region x, W3(x) is the weight of the corresponding hemoglobin light intensity signal p2(x) within the acne region x, p1(x) is the fluorescence signal within the acne region x, p2(x) is the corresponding hemoglobin light intensity signal within the acne region x, and B(x) is the constant term corresponding to the acne region x. Using this weighted calculation, the weighted calculation result has the characteristics of small bias and variance, that is, the weighted calculation result has a higher goodness of fit than the fitted result, and can more accurately quantitatively classify acne.

[0071] In some embodiments, in the above formula, a(x), p1(x), and p2(x) are all normalized results, with values ​​ranging from 0 to 1.

[0072] In this application, the purpose of normalizing a(x), p1(x), and p2(x) is to balance the weights of each parameter in the calculation process.

[0073] In a specific example provided in this application, the final result A(x) is a numerical result, determined according to our different classification criteria. The quantification of A(x) can be as shown in Table 2 below (where each row represents a level, each column represents a different category, and the specific numbers are the numerical values ​​of A that we have quantified manually):

[0074] acne papules pustule nodules cyst Level 1 1 2 3 4 5 Level 2 1.25 2.25 3.25 4.25 5.25 Level 3 1.5 2.5 3.5 4.5 5.5 Level 4 1.75 2.75 3.75 4.75 5.75

[0075] Table 2

[0076] Referring to Table 2, it can be understood that when the calculated value of A is 2.5, we consider it to be a grade 3 papule acne.

[0077] In one embodiment, W1(x) is 0.5, a(x) is 1, W2(x) is 2, p1(x) is 0.8, W3(x) is 3, p2(x) is 0.5, and B(x) is 1. Then the calculated A(x) is 4.6. The closest quantification result is found, and the result here corresponds to nodular grade 3 acne.

[0078] In this application, a weighted calculation is performed on the fitting results and physical property information to obtain the final weighted calculation result. This weighted calculation result has a low error and a high variance, achieving a balance between the final measurement accuracy and enabling more accurate quantification of the grade and level of acne.

[0079] In some embodiments, the acne detection method further includes: S105, obtaining physical characteristic information of acne;

[0080] Furthermore, the physical characteristics of acne are acquired by a multimodal optical imaging system, including but not limited to fluorescence intensity and light intensity signals.

[0081] In some embodiments, the multimodal optical imaging system also acquires information about the physical properties of acne, including appearance, size, depth, absorption, scattering, color, and polarization state.

[0082] In some embodiments, specific filters are added to the transmitter and receiver of the optical imaging system to enhance the sensitivity of the detection and improve the accuracy of acquiring physiological characteristic information.

[0083] In some embodiments, a differential method is used to eliminate the influence of background ambient light and optimize the shooting sequence;

[0084] Specifically, the process of acquiring acne images includes a reference light source and a calibration light source; the specific operation using the difference method includes: turning off the reference light source to acquire the first image of the acne, which is the image of the acne under the background light;

[0085] A reference light source is turned on to acquire at least one second image of the acne, the second image being an image of the acne under background light and reference light respectively;

[0086] The reference light source is turned off and the calibration light source is turned on to acquire a third image of acne. The third image is the image corresponding to the background light and the calibration light signal.

[0087] Specifically, a first differential image of the designated region is determined by performing differential processing on the first image and the at least one second image, and the distribution of the specific measured substance, such as porphyrin fluorescence signal, is determined based on the first differential image.

[0088] The first image and the third image are subjected to differential processing to determine a second differential image of the specified region, and the first differential image is calibrated based on the second differential image. The second differential image acquires some basic morphological features of the object under test, such as contour, shape, and depth.

[0089] In some embodiments, optimizing the image capture sequence mainly includes the following aspects: 1. Differential imaging to eliminate the influence of background light (see the detailed description above); 2. Selectively enhancing the effect of certain images based on different stages and states of acne; this involves some image judgment and selection processes, such as appropriately enhancing fluorescence intensity (achieved by increasing excitation light intensity, aperture size, exposure time, etc.) to achieve the best shooting effect; 3. Depending on different stages and the specificity of the target, some conventional shooting procedures can be omitted, such as the time-consuming polarization state shooting situation; 4. In some cases where polarization state shooting is particularly necessary, encoding can be used to improve the signal-to-noise ratio of the signal while acquiring the polarization state.

[0090] According to a second aspect of this application, this application provides a device for detecting quantitative information on acne, referring to... Figure 2 The device for detecting acne quantitative information includes:

[0091] The acquisition module is used to acquire the coordinate information of acne in each region and its corresponding physical characteristic information based on optical imaging technology. The physical characteristic information includes at least fluorescence intensity signal and light intensity signal.

[0092] The processing module obtains the physiological characteristic information of acne in each area based on the physical characteristic information of acne in that area;

[0093] The calculation module performs fitting calculations based on the physiological characteristics of acne in each region to obtain quantitative detection results that represent the degree of acne lesions.

[0094] It should be understood that the specific embodiments described above are merely illustrative or explanatory of the principles of this application and do not constitute a limitation thereof. Therefore, any modifications, equivalent substitutions, improvements, etc., made without departing from the spirit and scope of this application should be included within the protection scope of this application. Furthermore, the appended claims are intended to cover all variations and modifications falling within the scope and boundaries of the appended claims, or equivalent forms of such scope and boundaries.

[0095] The preferred embodiments disclosed above are merely illustrative of this application. The optional embodiments do not exhaustively describe all details, nor do they limit the invention to specific implementations. Clearly, many modifications and variations can be made based on the content of this application. These embodiments are selected and specifically described in this application to better explain the principles and practical applications of this application, thereby enabling those skilled in the art to better understand and utilize this application. This application is limited only by the claims and their full scope and equivalents.

Claims

1. A device for detecting quantitative information on acne, characterized in that, include: The acquisition module is used to acquire the coordinate information of acne in each region and its corresponding physical characteristic information based on optical imaging technology. The physical characteristic information includes at least fluorescence intensity signal and light intensity signal. The processing module is used to obtain the physiological characteristic information of acne in each region based on the physical characteristic information of acne in each region. The physiological characteristic information includes at least bacterial content and blood oxygen saturation. The bacterial content of acne is obtained based on fluorescence intensity signal, and the blood oxygen saturation of acne is obtained based on light intensity signal. The calculation module is used to perform fitting calculations based on the physiological characteristics of acne in each region to obtain quantitative detection results that represent the degree of acne lesions.

2. The apparatus as claimed in claim 1, characterized in that, The calculation module specifically uses the fitting calculation condition a(x) = c1×b(x) + c2×s(x) to perform fitting calculations to obtain the quantitative detection results; where a(x) is the quantitative detection result, c1 and c2 are the coefficients corresponding to bacterial content and blood oxygen saturation, b is the bacterial content of acne, s is the blood oxygen saturation of acne, x is the regional coordinate information of acne sample, b(x) is the bacterial content of acne region x, and s(x) is the blood oxygen saturation of acne region x.

3. The apparatus as described in claim 2, characterized in that, The physiological characteristic information acquired by the processing module also includes melanin, collagen, and / or water.

4. The apparatus as described in claim 3, characterized in that, The calculation module is specifically used to perform fitting calculations based on the blood oxygen saturation, bacterial content, and melanin content of acne in each region to obtain quantitative detection results that represent the degree of acne lesions.

5. The apparatus as described in claim 4, characterized in that, The calculation module is specifically used to perform fitting calculations using the fitting calculation condition a(x) = c1×b(x) + c2×s(x) + c3×m(x) to obtain quantitative detection results; where c3 is the coefficient corresponding to the melanin content, and m is the melanin content of acne; where m(x) is the melanin content of acne region x.

6. The apparatus as claimed in claim 5, characterized in that, The calculation module is specifically used to perform fitting calculations based on the blood oxygen saturation, bacterial content, melanin content, and collagen content of acne in each region.

7. The apparatus as claimed in claim 6, characterized in that, The calculation module is specifically used to perform fitting calculations using the fitting calculation condition a(x) = c1×b(x) + c2×s(x) + c3×m(x) + c4×p(x) to obtain quantitative detection results; where c4 is the coefficient corresponding to collagen, and p is the collagen content of acne; where p(x) is the collagen content of acne area x.

8. The apparatus as claimed in claim 7, characterized in that, The calculation module is specifically used to perform fitting calculations based on the blood oxygen saturation, bacterial content, melanin content, collagen content, and water content of acne in each region.

9. The apparatus as claimed in claim 8, characterized in that, The calculation module is specifically used to perform fitting calculations using the fitting calculation condition a(x) = c1×b(x) + c2×s(x) + c3×m(x) + c4×p(x) + c5×w(x) to obtain quantitative detection results; where c5 is the coefficient corresponding to water content, and w is the water content of acne; where w(x) is the water content of acne area x.

10. The apparatus as claimed in claim 1, characterized in that, Also includes: The weighting module is used to perform weighted calculations based on quantitative detection results and physical characteristic information to obtain weighted calculation results representing the quantitative classification of acne lesions.

11. The apparatus as claimed in claim 10, characterized in that, The weighting module is specifically used to perform weighted calculations using the weighted calculation condition A(x)=W1(x)×a(x)+ W2(x)×p1(x)+ W3(x)×p2(x)+ B(x); where A(x) is the weighted calculation result, W1(x) is the weight of the quantitative detection result a(x) in the acne region x, W2(x) is the weight of the fluorescence signal p1(x) in the acne region x, W3(x) is the weight of the corresponding hemoglobin light intensity signal p2(x) in the acne region x, p1(x) is the fluorescence signal in the acne region x, p2(x) is the corresponding hemoglobin light intensity signal in the acne region x, and B(x) is the constant term corresponding to the acne region x.

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