Skin detection device and control method thereof

Abstract

The embodiment of the invention provides a skin detection device and a control method thereof. The skin detection device comprises image acquisition equipment, a control unit and a shell, the image acquisition equipment is arranged on the shell; the control unit is arranged in the shell; the image acquisition equipment is connected with the control unit; multiple types of light beads are arranged on the image acquisition equipment; the control unit is used for receiving an operation instruction of a user and executing processing corresponding to the operation instruction; the processing comprises the step of controlling the target type of light beads in the light beads to be lightened; the image acquisition equipment is used for acquiring a skin image of a patient when the target type of light bead is lightened; the skin image is transmitted to the control unit; the control unit is further used for receiving a skin image; preprocessing the skin image to obtain a preprocessed image; and determining the skin condition of the patient according to the preprocessed image. According to the scheme, the accuracy of skin image acquisition is remarkably improved, and the detection efficiency is greatly improved, so that the skin condition of a patient can be quickly and accurately evaluated.

Description

Technical Field

[0001] The present invention relates to the technical field of medical devices, and in particular to a skin detection device and a control method thereof. Background Art

[0002] At present, the detection technology of skin problems is mainly completed by the following steps: first, the operator uses a skin detection mirror to obtain the image data of the patient's skin. Then, the operator's professional skills are used to professionally evaluate the image data.

[0003] Therefore, since the operation steps are complicated and require the professional knowledge of medical staff, the above method has low efficiency and poor accuracy. Summary of the invention

[0004] The object of the present invention is to provide a skin detection device and a control method thereof, so as to alleviate the technical problems of low efficiency and poor accuracy of the prior art and improve the detection efficiency and accuracy.

[0005] In the first aspect, an embodiment of the present invention provides a skin detection device, including: an image acquisition device, a control unit and a shell; the image acquisition device is arranged on the shell; the control unit is arranged in the shell; the image acquisition device is connected to the control unit; the image acquisition device is provided with multiple types of light beads; the control unit is used to receive the user's operation instructions and execute the processing corresponding to the operation instructions; the processing includes controlling the target type of light beads in the light beads to light up; the image acquisition device is used to capture the patient's skin image when the target type of light beads is lit; and transmit the skin image to the control unit; the control unit is also used to receive the skin image; pre-process the skin image to obtain a pre-processed image; and determine the skin condition of the patient based on the pre-processed image.

[0006] In a preferred implementation of the embodiment of the present invention, the types of the above-mentioned light beads include: white light beads, UV light beads and polarized light beads; wherein the above-mentioned white light beads correspond to the first pre-processed image; the above-mentioned control unit is also used to determine the first area ratio of the abnormal skin state of the above-mentioned patient in the above-mentioned first pre-processed image according to the above-mentioned first pre-processed image; determine the first skin condition of the above-mentioned patient according to the above-mentioned first area ratio; the above-mentioned UV light beads correspond to the second pre-processed image; the above-mentioned control unit is also used to determine the second skin condition of the above-mentioned patient according to the color characteristics of the above-mentioned second pre-processed image; the above-mentioned polarized light beads correspond to the third pre-processed image; the above-mentioned control unit is also used to determine the second area ratio of the subcutaneous blood vessel area of ​​the above-mentioned patient in the above-mentioned third pre-processed image according to the above-mentioned third pre-processed image; determine the third skin condition of the above-mentioned patient according to the above-mentioned second area ratio.

[0007] In a preferred implementation of the embodiment of the present invention, the above-mentioned abnormal skin condition includes: skin debris, oil reflection, skin lesions and papules; the above-mentioned first skin condition is the degree of dermatitis corresponding to the above-mentioned skin debris, the above-mentioned oil reflection, the above-mentioned skin lesions and the above-mentioned papules.

[0008] In a preferred implementation of the embodiment of the present invention, the above-mentioned color features include: the number of preset color reflective points in the above-mentioned second preprocessed image; the above-mentioned second skin condition is the solid oil secretion condition or hair follicle inflammation condition corresponding to the number of the above-mentioned preset color reflective points; the above-mentioned third skin condition is the sensitivity level corresponding to the above-mentioned second area ratio.

[0009] In a preferred implementation manner of the embodiment of the present invention, the image acquisition device includes: a lens; the magnification of the lens includes: 1x, 50x and 200x; the types of the light beads configured on the image acquisition device for the 1x and 200x lenses are both the white light beads; the types of the light beads configured on the image acquisition device for the 50x lens include the white light beads, the UV light beads and the polarized light beads.

[0010] In a preferred implementation of the embodiment of the present invention, the skin detection device further includes: a base for placing the lens and the shell; a UV light sterilization lamp is provided on the base; the UV light sterilization lamp is used to sterilize the lens and the shell.

[0011] In a preferred implementation of the embodiment of the present invention, the skin detection device further includes: a display device connected to the control unit; the processing further includes controlling display information of the display device; the display information includes at least part of the information corresponding to the skin condition.

[0012] In the second aspect, an embodiment of the present invention also provides a control method for a skin detection device, which is applied to the above-mentioned skin detection device; the above-mentioned method includes: receiving the user's operation instructions through the above-mentioned control unit, and executing the processing corresponding to the operation instructions; the above-mentioned processing includes controlling the target type light beads in the above-mentioned light beads to light up; when the above-mentioned target type light beads are lit, the patient's skin image is collected through the above-mentioned image acquisition device; and the above-mentioned skin image is transmitted to the above-mentioned control unit; the above-mentioned skin image is received through the above-mentioned control unit; the above-mentioned skin image is preprocessed to obtain a preprocessed image; and the skin condition of the above-mentioned patient is determined based on the above-mentioned preprocessed image.

[0013] In a preferred implementation manner of the embodiment of the present invention, the step of preprocessing the above-mentioned skin image to obtain a preprocessed image includes: performing adaptive white balance adjustment on the above-mentioned skin image to obtain a first sub-image; performing non-uniform illumination correction on the above-mentioned first sub-image to obtain a second sub-image; performing noise reduction on the above-mentioned second sub-image in the time domain, spatial domain and frequency domain to obtain a third sub-image; performing adaptive sharpening enhancement on the above-mentioned third sub-image to obtain a fourth sub-image; performing super-resolution reconstruction on the above-mentioned fourth sub-image based on the ESPCN real-time super-resolution network to obtain a fifth sub-image; extracting image features of the above-mentioned fifth sub-image at multiple preset resolution levels through a preset Gaussian pyramid; performing feature fusion on the above-mentioned image features based on the above-mentioned image features and the weight coefficients corresponding to the above-mentioned image features to obtain a sixth sub-image; performing color management on the above-mentioned sixth sub-image to obtain a preprocessed image.

[0014] In a preferred implementation manner of the embodiment of the present invention, the step of performing color management on the sixth sub-image to obtain a preprocessed image includes: based on a preset mapping relationship between an input color gamut and an output color gamut, performing color gamut mapping on the sixth sub-image by applying a tetrahedral interpolation algorithm to output a seventh sub-image; and performing adaptive contrast enhancement on the seventh sub-image to obtain a preprocessed image.

[0015] The embodiments of the present invention have the following beneficial technical effects:

[0016] The embodiment of the present invention provides a skin detection device and a control method thereof, including: an image acquisition device, a control unit and a housing; the image acquisition device is arranged on the housing; the control unit is arranged in the housing; the image acquisition device is connected to the control unit; the image acquisition device is provided with multiple types of light beads; the control unit is used to receive the user's operation instructions and execute the processing corresponding to the operation instructions; the processing includes controlling the target type of light beads in the light beads to light up; the image acquisition device is used to collect the patient's skin image when the target type of light beads are lit; and transmit the skin image to the control unit; the control unit is also used to receive the skin image; pre-process the skin image to obtain a pre-processed image; and determine the skin condition of the patient according to the pre-processed image. This solution not only significantly improves the accuracy of skin image acquisition, but also greatly improves the detection efficiency by accurately controlling the lighting of different types of light beads and working in coordination with the image acquisition device, so that the patient's skin condition can be quickly and accurately evaluated. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0018] Figure 1 A schematic diagram of the structure of a skin detection device provided by an embodiment of the present invention;

[0019] Figure 2 A schematic diagram of skin scraps provided by an embodiment of the present invention;

[0020] Figure 3 A schematic diagram of grease reflection provided by an embodiment of the present invention;

[0021] Figure 4 A schematic diagram of a skin lesion provided by an embodiment of the present invention;

[0022] Figure 5 A schematic diagram of a papule provided by an embodiment of the present invention;

[0023] Figure 6 A schematic diagram of a subcutaneous blood vessel provided by an embodiment of the present invention;

[0024] Figure 7 A schematic diagram of the structure of another skin detection device provided by an embodiment of the present invention;

[0025] Figure 8 A schematic flow chart of a control method for a skin detection device provided in an embodiment of the present invention.

[0026] Icon: 11-image acquisition device; 12-control unit; 13-housing; 21-base; 22-display device. DETAILED DESCRIPTION

[0027] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations.

[0028] Currently, the detection of skin problems relies on the operator to use a skin detection mirror to obtain images and rely on their professional skills to make assessments. Due to the cumbersome steps and the need for professional knowledge, this method is inefficient and has poor accuracy.

[0029] Based on this, an embodiment of the present invention provides a skin detection device and a control method thereof, which can significantly improve the accuracy of skin image acquisition and greatly improve detection efficiency. For ease of understanding, a skin detection device is first introduced in detail.

[0030] Example 1

[0031] In this embodiment, Figure 1 A schematic diagram of the structure of a skin detection device provided by an embodiment of the present invention.

[0032] Depend on Figure 1 As can be seen, the device includes: an image acquisition device 11, a control unit 12 and a shell 13; the image acquisition device 11 is arranged on the shell 13; the control unit 12 is arranged in the shell 13; the image acquisition device 11 is connected to the control unit 12; the image acquisition device 11 is provided with various types of light beads; the control unit 12 is used to receive the user's operation instructions and execute the processing corresponding to the above operation instructions; the above processing includes controlling the target type of light beads in the above light beads to light up; the image acquisition device 11 is used to collect the patient's skin image when the target type of light beads are lit; and transmit the skin image to the control unit; the control unit 12 is also used to receive the skin image; pre-process the skin image to obtain a pre-processed image; determine the skin condition of the patient according to the pre-processed image.

[0033] Here, the skin image may generally be a scalp image or an appearance image of other parts of the body.

[0034] As a possible implementation, the types of the above-mentioned light beads include: white light beads, UV light beads and polarized light beads; wherein the above-mentioned white light beads correspond to the first pre-processed image; the above-mentioned control unit 12 is also used to determine the first area ratio of the abnormal skin state of the above-mentioned patient in the above-mentioned first pre-processed image according to the above-mentioned first pre-processed image; determine the first skin condition of the above-mentioned patient according to the above-mentioned first area ratio; the above-mentioned UV light beads correspond to the second pre-processed image; the above-mentioned control unit 12 is also used to determine the second skin condition of the above-mentioned patient according to the color characteristics of the above-mentioned second pre-processed image; the above-mentioned polarized light beads correspond to the third pre-processed image; the above-mentioned control unit 12 is also used to determine the second area ratio of the above-mentioned patient's subcutaneous blood vessel area in the above-mentioned third pre-processed image according to the above-mentioned third pre-processed image; determine the third skin condition of the above-mentioned patient according to the above-mentioned second area ratio.

[0035] Among them, the above-mentioned abnormal skin conditions include: skin debris, oil reflection, skin lesions and papules; the above-mentioned first skin condition is the degree of dermatitis corresponding to the above-mentioned skin debris, the above-mentioned oil reflection, the above-mentioned skin lesions and the above-mentioned papules.

[0036] For ease of understanding, Figure 2 A schematic diagram of skin scraps provided by an embodiment of the present invention; Figure 3 A schematic diagram of grease reflection provided by an embodiment of the present invention; Figure 4 A schematic diagram of a skin lesion provided by an embodiment of the present invention; Figure 5 A schematic diagram of a papule provided by an embodiment of the present invention;

[0037] Figure 6 A schematic diagram of a subcutaneous blood vessel provided by an embodiment of the present invention. The above drawings intuitively present the manifestations of different skin problems, facilitating communication and exchanges between doctors and patients.

[0038] Furthermore, the above-mentioned color features include: the number of preset color reflective points in the above-mentioned second preprocessed image; the above-mentioned second skin condition is the solid oil secretion condition or hair follicle inflammation condition corresponding to the number of the above-mentioned preset color reflective points; the above-mentioned third skin condition is the sensitivity level corresponding to the above-mentioned second area ratio.

[0039] Here, the preset color reflective point corresponding to the solid oil secretion condition is yellow-green, and the preset color reflective point corresponding to the hair follicle inflammation condition is red.

[0040] Furthermore, the corresponding preset color reflective points are yellow-green, and the yellow-green and red reflective points are also marked and displayed.

[0041] In some embodiments, the image acquisition device 11 includes: a lens; the magnification of the lens includes: 1x, 50x and 200x; the types of the light beads configured on the image acquisition device for the 1x and 200x lenses are both white light beads; the types of the light beads configured on the image acquisition device for the 50x lens include white light beads, UV light beads and polarized light beads. The purpose of this design is to enable the device to be flexibly switched in different application scenarios, which can not only meet the needs of macroscopic observation, but also enable in-depth inspection of microscopic details.

[0042] The embodiment of the present invention provides a skin detection device, including: an image acquisition device, a control unit and a shell; the image acquisition device is arranged on the shell; the control unit is arranged in the shell; the image acquisition device is connected to the control unit; the image acquisition device is provided with multiple types of light beads; the control unit is used to receive the user's operation instructions and execute the processing corresponding to the operation instructions; the processing includes controlling the target type of light beads in the light beads to light up; the image acquisition device is used to collect the patient's skin image when the target type of light beads are lit; and transmit the skin image to the control unit; the control unit is also used to receive the skin image; pre-process the skin image to obtain a pre-processed image; and determine the skin condition of the patient according to the pre-processed image. This solution not only significantly improves the accuracy of skin image acquisition, but also greatly improves the detection efficiency by accurately controlling the lighting of different types of light beads and working in coordination with the image acquisition device, so that the patient's skin condition can be quickly and accurately evaluated.

[0043] Example 2

[0044] Based on the above embodiments, Figure 7 A schematic diagram of the structure of another skin detection device provided by an embodiment of the present invention.

[0045] Depend on Figure 7 As can be seen, the skin detection device further includes: a base 21 for placing the lens and the shell 13; a UV light sterilization lamp is arranged on the base 21; and the UV light sterilization lamp is used to sterilize the lens and the shell.

[0046] Furthermore, the skin detection device further comprises: a display device 22 connected to the control unit 12; the processing further comprises controlling display information of the display device 22; the display information comprises at least part of the information corresponding to the skin condition.

[0047] An embodiment of the present invention provides a skin detection device, comprising: an image acquisition device, a control unit and a shell; a base for placing the lens and the shell; a display device connected to the control unit; a UV light sterilization lamp is arranged on the base; the image acquisition device is arranged on the shell; the control unit is arranged in the shell; the image acquisition device is connected to the control unit; multiple types of light beads are arranged on the image acquisition device; the control unit is used to receive user operation instructions and perform processing corresponding to the operation instructions; the processing includes controlling the target type of light beads in the light beads to light up; the image acquisition device is used to capture the patient's skin image when the target type of light beads are lit; and transmit the skin image to the control unit; the control unit is also used to receive the skin image; pre-process the skin image to obtain a pre-processed image; determine the skin condition of the patient according to the pre-processed image; the UV light sterilization lamp is used to sterilize the lens and the shell; the processing also includes controlling the display information of the display device; the display information includes at least part of the information corresponding to the skin condition. The skin detection device achieves high-precision skin condition detection and analysis by integrating image acquisition, intelligent control and various types of light beads, and uses UV light sterilization lamps to ensure the hygiene and safety of the equipment. At the same time, it presents skin detection results in real time through a display device, improving user experience and equipment reliability.

[0048] Example 3

[0049] Based on the above embodiments, Figure 8 A schematic flow chart of a control method for a skin detection device provided in an embodiment of the present invention.

[0050] Among them, the control method of the above-mentioned skin detection device is applied to the above-mentioned skin detection device.

[0051] Depend on Figure 8 As can be seen, the method includes:

[0052] Step S101: receiving the user's operation instruction through the above-mentioned control unit, and executing the processing corresponding to the operation instruction; the above-mentioned processing includes controlling the target type of light beads in the above-mentioned light beads to light up.

[0053] Step S102: When the target type light bead is lit, the patient's skin image is acquired through the image acquisition device; and the skin image is transmitted to the control unit.

[0054] Step S103: receiving the skin image through the control unit; preprocessing the skin image to obtain a preprocessed image; and determining the skin condition of the patient according to the preprocessed image.

[0055] Among them, the step of preprocessing the above-mentioned skin image to obtain a preprocessed image includes: performing adaptive white balance adjustment on the above-mentioned skin image to obtain a first sub-image; performing non-uniform illumination correction on the above-mentioned first sub-image to obtain a second sub-image; performing noise reduction on the above-mentioned second sub-image in the time domain, spatial domain and frequency domain to obtain a third sub-image; performing adaptive sharpening enhancement on the above-mentioned third sub-image to obtain a fourth sub-image; performing super-resolution reconstruction on the above-mentioned fourth sub-image based on the ESPCN real-time super-resolution network to obtain a fifth sub-image; extracting image features of the above-mentioned fifth sub-image at multiple preset resolution levels through a preset Gaussian pyramid; performing feature fusion on the above-mentioned image features based on the above-mentioned image features and the weight coefficients corresponding to the above-mentioned image features to obtain a sixth sub-image; performing color management on the above-mentioned sixth sub-image to obtain a preprocessed image.

[0056] In actual operation, preprocessing skin images to obtain high-quality preprocessed images involves a series of steps that connect with each other and gradually optimize the image quality. The specific process is as follows: First, the control unit will perform adaptive white balance adjustment on the collected skin image. The goal of this stage is to eliminate the color cast in the image and make the color closer to the real scene. By detecting the color distribution in different areas of the image, the RGB channel ratio of the image is automatically adjusted to ensure that the overall color of the image is natural and accurate.

[0057] Next, the image after white balance adjustment will be corrected for non-uniform illumination. Since uneven light sources may lead to inconsistent image brightness, it is necessary to use techniques such as local contrast enhancement or grayscale world assumption to adjust the brightness of different areas of the image to make the overall illumination of the image more uniform.

[0058] Then, to further improve the image quality, the control unit performs noise reduction on the image with corrected illumination in the temporal, spatial, and frequency domains. This step aims to reduce the noise between frames in the video sequence (temporal noise reduction), the noise in a single frame (spatial noise reduction), and the high-frequency noise in the frequency domain (frequency noise reduction). Dynamic noise is removed by using temporal filtering algorithms (such as Kalman filtering), static noise is smoothed by applying Gaussian filtering or bilateral filtering, and high-frequency components are removed by Fourier transform combined with low-pass filtering, thus generating a cleaner and clearer image.

[0059] The control unit will then perform adaptive sharpening on the denoised image to improve the edge clarity of the image and make the skin features more obvious. The sharpening level is adaptively adjusted according to the local features of the image to avoid artifacts introduced by over-sharpening. Commonly used sharpening methods include Laplace operator and Sobel operator, which can effectively highlight the edges of the image and improve the visibility of details.

[0060] On this basis, the control unit will reconstruct the image in super-resolution based on an efficient convolutional neural network real-time super-resolution network. Through an efficient convolutional neural network, a high-resolution image is generated by upsampling and feature extraction of a low-resolution image. This process can effectively restore the subtle structure in the image and provide richer detail information for subsequent analysis.

[0061] Next, the control unit extracts image features at multiple resolution levels through a Gaussian pyramid. The Gaussian pyramid is constructed to decompose the image into multiple levels of different resolutions. Each layer captures information at different scales, which helps to fully understand the skin condition.

[0062] Finally, the control unit will perform feature fusion based on the extracted image features and their corresponding weight coefficients to obtain the sixth sub-image. According to the preset weight coefficients, the features of multiple resolution levels are integrated to generate the final feature map. The weight coefficient is adjusted according to the importance of the feature to ensure that the key features are fully retained during the fusion process.

[0063] After completing all the above processing, the control unit will perform color management on the fused image to ensure the consistency and accuracy of the image color. Through color space conversion, gamma correction and other means, the color characteristics of the image are adjusted to ensure that the color of the output image is consistent with the actual skin condition, thus providing doctors with a reliable basis for diagnosis.

[0064] Through this series of consistent and meticulous preprocessing steps, the device can significantly improve the quality of skin images and provide a solid foundation for subsequent skin condition analysis.

[0065] Furthermore, the step of performing color management on the sixth sub-image to obtain a preprocessed image includes: based on a preset mapping relationship between an input color gamut and an output color gamut, performing color gamut mapping on the sixth sub-image by applying a tetrahedral interpolation algorithm to output a seventh sub-image; and performing adaptive contrast enhancement on the seventh sub-image to obtain a preprocessed image.

[0066] In actual operation, based on the sixth sub-image generated after feature fusion, the control unit will further optimize the image quality to ensure that its color and contrast meet the standards of medical diagnosis.

[0067] The specific process is as follows:

[0068] First, the control unit will perform color gamut mapping on the sixth sub-image through the tetrahedral interpolation algorithm based on the preset mapping relationship between the input color gamut and the output color gamut to generate the seventh sub-image. The key to this step is to ensure that the color of the image can maintain consistency and accuracy between different devices. The tetrahedral interpolation algorithm is an efficient and accurate color conversion method that divides the color space into multiple tetrahedral regions and performs interpolation calculations within the tetrahedron to which each pixel belongs according to its color value. This ensures that the color retains the original color characteristics as much as possible during the conversion process from the input color gamut to the output color gamut, while avoiding color distortion or deviation. Through this mapping, the color in the image will more accurately reflect the actual skin condition, providing a reliable basis for subsequent analysis.

[0069] Next, the control unit will perform adaptive contrast enhancement on the seventh sub-image after color gamut mapping, and finally obtain the preprocessed image. The purpose of adaptive contrast enhancement is to improve the visual effect of the image and make the contrast between different areas of the skin more obvious, so that it is easier to identify and analyze. This step dynamically adjusts the brightness value of each pixel according to the brightness and contrast characteristics of the local area of ​​the image. For example, increase the brightness in darker areas and reduce the brightness in brighter areas to highlight subtle changes in the skin. Commonly used adaptive contrast enhancement methods include histogram equalization, contrast-limited adaptive histogram equalization, etc. These methods can effectively improve the overall contrast of the image while avoiding artifacts or loss of details caused by over-enhancement.

[0070] Through these two steps, the control unit not only ensures the consistency and accuracy of the image color, but also improves the visual quality and detail visibility of the image, providing a high-quality basic image for subsequent skin condition analysis. This series of processing steps complement each other and work together on the image, so that the final pre-processed image can more realistically and clearly reflect the patient's skin condition, providing doctors with a reliable basis for diagnosis.

[0071] An embodiment of the present invention provides a control method for a skin detection device, and its implementation principle and technical effects are the same as those of the aforementioned skin detection device embodiment. For the sake of brief description, for matters not mentioned in the embodiment of the control method of the above-mentioned in vitro skin detection device, reference may be made to the corresponding contents in the aforementioned skin detection device embodiment.

[0072] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the invention claimed for protection, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0073] In addition, in the description of the embodiments of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0074] In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicating the orientation or positional relationship, are based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first", "second", and "third" are used for descriptive purposes only, and cannot be understood as indicating or implying relative importance.

[0075] Finally, it should be noted that the above-described embodiments are only specific implementation methods of the present invention, which are used to illustrate the technical solutions of the present invention rather than to limit them. The protection scope of the present invention is not limited thereto. Although the present invention has been described in detail with reference to the aforementioned embodiments, those of ordinary skill in the art should understand that any technician familiar with the technical field can still modify the technical solutions recorded in the aforementioned embodiments within the technical scope disclosed by the present invention, or can easily conceive of changes, or make equivalent replacements for some of the technical features therein. Such modifications, changes or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be covered within the protection scope of the present invention.

Claims

1. A skin detection device, characterized in that: include: An image acquisition device, a control unit and a housing; the image acquisition device is arranged on the housing; the control unit is arranged in the housing; the image acquisition device is connected to the control unit; and the image acquisition device is provided with various types of light beads; The control unit is used to receive an operation instruction from a user and execute a process corresponding to the operation instruction; the process includes controlling the light beads of a target type in the light beads to light up; The image acquisition device is used to acquire a skin image of a patient when the target type light bead is lit; and transmit the skin image to the control unit; The control unit is also used to receive the skin image; Preprocessing the skin image to obtain a preprocessed image; The skin condition of the patient is determined based on the preprocessed image.

2. The skin detection device according to claim 1, characterized in that: The types of light beads include: white light beads, UV light beads and polarized light beads; Wherein, the white light beads correspond to a first pre-processed image; the control unit is further used to determine, based on the first pre-processed image, a first area ratio of the abnormal skin state of the patient in the first pre-processed image; and determine the first skin condition of the patient based on the first area ratio; The UV light beads correspond to a second pre-processed image; the control unit is further used to determine a second skin condition of the patient according to the color characteristics of the second pre-processed image; The polarized light beads correspond to a third preprocessed image; the control unit is also used to determine the proportion of the subcutaneous blood vessel area of ​​the patient to the second area of ​​the third preprocessed image based on the third preprocessed image; and determine the third skin condition of the patient based on the second area proportion.

3. The skin detection device according to claim 2, characterized in that: The abnormal skin condition includes: skin debris, oil reflection, skin lesions and papules; the first skin condition is the degree of dermatitis corresponding to the skin debris, oil reflection, skin lesions and papules.

4. The skin detection device according to claim 2, characterized in that: The color feature includes: the number of preset color reflective points in the second preprocessed image; the second skin condition is the solid oil secretion or hair follicle inflammation corresponding to the number of preset color reflective points; the third skin condition is the sensitivity corresponding to the second area ratio.

5. The skin detection device according to claim 2, characterized in that: The image acquisition device comprises: a lens; the magnifications of the lens include: 1x, 50x and 200x; the types of the light beads configured on the image acquisition device with the 1x and 200x lenses are both white light beads; the types of the light beads configured on the image acquisition device with the 50x lens include white light beads, UV light beads and polarized light beads.

6. The skin detection device according to claim 5, characterized in that: The skin detection device further comprises: a base for placing the lens and the housing; a UV light sterilization lamp is arranged on the base; The UV light sterilization lamp is used to sterilize the lens and the housing.

7. The skin detection device according to claim 1, characterized in that: The skin detection device further comprises: a display device connected to the control unit; The processing also includes controlling the display device to display information; the displayed information includes at least part of the information corresponding to the skin condition.

8. A control method for a skin detection device, characterized in that: The skin detection device according to any one of claims 1 to 7; the method comprising: The control unit receives the user's operation instruction and executes the processing corresponding to the operation instruction; the processing includes controlling the target type of light beads in the light beads to light up; When the target type light bead is lit, the patient's skin image is acquired through the image acquisition device; and the skin image is transmitted to the control unit; The skin image is received by the control unit; the skin image is preprocessed to obtain a preprocessed image; and the skin condition of the patient is determined according to the preprocessed image.

9. The control method of the skin detection device according to claim 8, characterized in that: The step of preprocessing the skin image to obtain a preprocessed image comprises: Performing adaptive white balance adjustment on the skin image to obtain a first sub-image; Performing non-uniform illumination correction on the first sub-image to obtain a second sub-image; Denoising the second sub-image in the time domain, the space domain, and the frequency domain to obtain a third sub-image; Performing adaptive sharpening enhancement on the third sub-image to obtain a fourth sub-image; Performing super-resolution reconstruction on the fourth sub-image based on the ESPCN real-time super-resolution network to obtain a fifth sub-image; Extracting image features of the fifth sub-image at multiple preset resolution levels by using a preset Gaussian pyramid; Performing feature fusion on the image features based on the image features and weight coefficients corresponding to the image features to obtain a sixth sub-image; Color management is performed on the sixth sub-image to obtain a preprocessed image.

10. The control method of the skin detection device according to claim 9, characterized in that: The step of performing color management on the sixth sub-image to obtain a pre-processed image comprises: Based on a preset mapping relationship between an input color gamut and an output color gamut, by applying a tetrahedral interpolation algorithm, color gamut mapping is performed on the sixth sub-image to output a seventh sub-image; Adaptively perform contrast enhancement on the seventh sub-image to obtain a preprocessed image.

Images