CN114710627B - Skin detection method, mobile terminal, computer device and medium - Google Patents
Skin detection method, mobile terminal, computer device and medium Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/70—Circuitry for compensating brightness variation in the scene
- H04N23/74—Circuitry for compensating brightness variation in the scene by influencing the scene brightness using illuminating means
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0012—Biomedical image inspection
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- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
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Abstract
The application discloses a skin detection method, a mobile terminal, a computer device and a medium. The skin detection method is applied to the mobile terminal, and the mobile terminal is provided with a light source and an imaging module. The method comprises the following steps: controlling an imaging module to acquire an image to be detected; controlling a light source to be started when an image to be detected is acquired, and supplementing light with preset spectrum information; and determining skin state information according to pixel information of an image of the target object, preset spectrum information and a preset database, wherein the skin state information at least comprises skin color information, the pixel information at least comprises color temperature information, and the preset database comprises a mapping relation between calibrated pixel information and calibrated skin state information under the preset spectrum information. Thus, when the target object image is acquired, light is supplemented by the preset spectrum information, namely, the shot ambient light is provided. Since the ambient light is stable, the influence of the change of the ambient light on the skin detection result can be avoided. The accuracy of the detection result can be better ensured.
Description
Technical Field
The present application relates to the field of consumer electronics, and more particularly, to a skin detection method, a mobile terminal, a computer device, and a computer-readable storage medium.
Background
Currently, a mobile terminal has a skin detection function, and can detect the health condition of skin, for example, a camera of the mobile terminal shoots skin, then an image processing is performed on a shot skin photo by using a skin detection algorithm, and the processed image can reflect the health condition of skin, so that a user can grasp the health condition of skin conveniently. However, skin detection algorithms are susceptible to ambient light, which can affect the accuracy of the skin detection algorithm.
Disclosure of Invention
Embodiments of the present application provide a skin detection method, a mobile terminal, a computer device, and a computer-readable storage medium.
The skin detection method of the embodiment of the application is applied to the mobile terminal. The mobile terminal is provided with a light source and an imaging module. The skin detection method comprises the following steps: responding to the detected first operation, starting the light source to supplement light to the target object according to preset spectrum information; acquiring an image of the target object; determining skin state information according to pixel information of the image of the target object, the preset spectrum information and a preset database, wherein the skin state information at least comprises skin color information, the pixel information at least comprises color temperature information, and the preset database comprises a mapping relation between calibrated pixel information and calibrated skin state information under the preset spectrum information.
The mobile terminal of the embodiment of the application is provided with a light source, an imaging module and a processor. The shooting assembly comprises a light source and an imaging module. The processor is used for responding to the detected first operation, starting the light source to supplement light for the target object according to preset spectrum information; acquiring an image of the target object; determining skin state information according to pixel information of the image of the target object, the preset spectrum information and a preset database, wherein the skin state information at least comprises skin color information, the pixel information at least comprises color temperature information, and the preset database comprises a mapping relation between calibrated pixel information and calibrated skin state information under the preset spectrum information.
The computer device of embodiments of the present application includes a memory and a processor. The memory has stored therein computer readable instructions which, when executed by the processor, cause the processor to perform the skin detection method as described above.
The non-transitory computer readable storage medium of embodiments of the present application contains computer executable instructions. The computer-executable instructions, when executed by one or more processors, cause the processors to perform the skin detection method as described above.
The skin detection method, the mobile terminal, the computer device and the computer-readable storage medium of the embodiments of the present application perform light filling with preset spectrum information when an object image of a target is acquired. Because the light supplementing spectrum is stable, the influence of the change of external environment light on the detection result can be avoided. In addition, since the light supplementing spectrum information is known, the color temperature can be more accurately determined during image processing, the influence of white balance processing on the image of the target object can be more accurately considered, and the accuracy of the detection result can be better ensured.
Additional aspects and advantages of the application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the application.
Drawings
The foregoing and/or additional aspects and advantages of the present application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings, in which:
fig. 1 and 2 are schematic structural diagrams of a mobile terminal according to an embodiment of the present application;
FIG. 3 is a flow chart of a skin detection method according to an embodiment of the present application;
fig. 4 is a schematic structural view of a photographing assembly according to an embodiment of the present application;
FIG. 5 is a schematic view of a scenario of a skin detection method of an embodiment of the present application;
Fig. 6 to 12 are schematic flow charts of a skin detection method according to an embodiment of the present application;
fig. 13 to 16 are schematic views of a scenario of a skin detection method according to an embodiment of the present application;
FIG. 17 is a schematic diagram of a computer device of an embodiment of the present application; and
fig. 18 is a schematic diagram of connection between a mobile terminal and a computer-readable storage medium according to an embodiment of the present application.
Detailed Description
Embodiments of the present application are described in detail below, and are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are exemplary only for the purpose of explaining the present application and are not to be construed as limiting the present application.
With the development of technology, existing mobile phones provide skin detection function. The user can acquire a current skin state photo in a photographing mode, and the photo is processed by using the skin detection function of the mobile terminal to generate skin detection information. The skin detection information is useful for the user to understand and record the current skin state.
However, a photograph of the skin condition taken by a user is affected by ambient light, and the photograph may vary from one light source to another. Different light sources having different spectra may result in differences in color temperature.
Specifically, the spectrum changes under different time of sunlight, for example, the spectrum of the sunlight in noon is different from the spectrum of the sunlight in the evening, and the spectrum also changes under different geographic environments, for example, the spectrum of indoor lamplight is different from the spectrum of the sunlight outdoors.
In addition, white balance correction at the rear end of the image processor (image signal processor) can cause white balance gain difference, and the white balance gain difference can also influence the accuracy of the current skin state photo to a great extent, and finally can influence the accuracy of a face skin detection algorithm.
Referring to fig. 1 to 5, the skin detection method of the embodiment of the present application is applied to a mobile terminal 100. The mobile terminal 100 is provided with a light source 11 and an imaging module 12. The skin detection method comprises the following steps:
01: in response to the detected first operation, turning on the light source 11 to supplement light to the target object with preset spectrum information;
02: acquiring an image of a target object;
03: and determining skin state information according to pixel information of an image of the target object, preset spectrum information and a preset database, wherein the skin state information at least comprises skin color information, the pixel information at least comprises color temperature information, and the preset database comprises a mapping relation between calibrated pixel information and calibrated skin state information under the preset spectrum information.
The skin detection method of the present embodiment may be implemented by the mobile terminal 100 of the present embodiment. The mobile terminal 100 includes a light source 11, an imaging module 12, and a processor 20. Wherein steps 01, 02 and 03 may all be implemented by the processor 20. That is, the processor 20 is configured to: in response to the detected first operation, turning on the light source 11 to supplement light to the target object with preset spectrum information; acquiring an image of a target object; and determining skin state information according to pixel information of an image of the target object, preset spectrum information and a preset database, wherein the skin state information at least comprises skin color information, the pixel information at least comprises color temperature information, and the preset database comprises a mapping relation between calibrated pixel information and calibrated skin state information under the preset spectrum information.
The skin detection method and the mobile terminal 100 according to the embodiments of the present application perform light filling with preset spectrum information when acquiring an object image of a target. Because the light supplementing spectrum is stable, the influence of the change of external environment light on the detection result can be avoided. In addition, since the light supplementing spectrum information is known, the color temperature can be more accurately determined during image processing, the influence of white balance processing on the image of the target object can be more accurately considered, and the accuracy of the detection result can be better ensured.
Specifically, the mobile terminal 100 may be a terminal device having an operating system, configured with a light source 11 and an imaging module 12. For example, the mobile terminal 100 may include a smart phone, tablet computer, or other terminal device configured with the camera assembly 10.
Referring again to fig. 4, in some embodiments, the imaging module 12 includes a lens 121, a lens 122, a filter 123, a lens mount 124, an image sensor 125, a flexible circuit board 126, and a board-to-board connector 127.
The lens 121 has a protective function, and can prevent invasion of foreign objects and friction from damaging the lens 122. The lens 121 may be a glass cover plate, which has a good light transmission effect.
The lens 122 has a function of converging light imaging.
The filter 123 (IR filter) is typically an Infrared cut filter, and the filter 123 may be used to filter out Infrared light. The cut-off wavelength of the filter 13 can be customized according to actual specific requirements, and is not limited herein.
A lens mount 124 (Holder) is used to carry and mount the lens 122. The image Sensor 125 (Sensor) is also called an imaging Sensor, and the image Sensor 125 is configured to receive an optical signal, convert the optical signal into an electrical signal, and perform digital processing.
A flexible circuit Board 126 (Flexible Printed Circuit, FPC) and a Board-to-Board connector 127 (BTB) are used to transmit the digitally processed electrical signals.
The flexible printed circuit board 126 may be a flexible printed circuit board made of polyimide or mylar as a base material, and has the advantages of light weight, thin thickness, good flexibility, and the like.
The board-to-board connector 127 has an advantage of strong transmission capability.
It should be noted that the light source 11 may be turned on to supplement light to the target object with the preset spectrum information, that is, the light source 11 is an illumination light source with known preset spectrum information, so that accurate color temperature information may be obtained. The light source 11 is used for being turned on when the imaging module 12 shoots an image of a target object, and supplementing light with preset spectrum information.
Specifically, the light source 11 is S (λ), the light source 11 irradiates the skin, the reflectance function of the skin is ρ (λ), and the reflectance spectrum after skin action is the convolution of the spectrum of the light source 11 and the skin reflectance function, and is denoted as H (λ) =s (λ) ×ρ (λ). The image sensor 125 includes a plurality of photosensitive channels, each of which is provided with a color filter, for example, the color filter corresponding to the photosensitive channel may be a red filter, a blue filter, a green filter or a white filter, so that light with a corresponding wavelength can pass through the filter and enter the photosensitive channel. The reflected light H (λ) propagates through the integrating sphere into the optical filter of the imaging module 12, where the optical filter has different spectral channels, so that different channel convolution values are obtained after the reflected light H (λ) is convolved with the spectral channels of the image sensor 125.
For example: in the scheme, three channels are used and are respectivelyThe intensity values obtained by detection of each channel are respectively as follows:
thus, accurate color temperature information can be obtained through the intensity values of the three channels.
In one embodiment, the image sensor 125 includes three photosites, each redGreen light-sensitive channel->And blue light-sensitive channel->)。
The intensity value obtained by detecting the red photosensitive channel is as follows:
the intensity value obtained by detecting the green light sensing channel is as follows:
the intensity value obtained by detecting the blue light-sensitive channel is as follows:
thus, accurate color temperature information can be obtained through the intensity value of the red light sensing channel, the intensity value of the green light sensing channel and the intensity value of the blue light sensing channel.
The above embodiment is illustrated with the image sensor 125 including three photosensitive channels of red, green, and blue for ease of understanding the implementation of the present application. In some embodiments, the image sensor 125 may also include more photosensitive channels, so that the accuracy of the measurement results may be improved by subdividing the resolution of the spectral channels, which is not limited herein.
It should be noted that, in the related art, due to uncertainty of the light source, a color temperature of the light source may have a large span (for example, the color temperature may be between 1800K and 6500K), spectrum information of the light source cannot be accurately obtained, and a corresponding white balance gain needs to be estimated. In addition, for the sake of image beauty, a back-end image signal process (Image Signal Processing, ISP) is also performed, which can be understood as ISP debugging, and debugging differences easily occur during the debugging process. Both the estimated values and the debugging differences lead to inaccurate results and incorrect feedback of the real skin state. In the embodiment of the present application, the spectrum information of the light source 11 may be obtained by measuring in advance, that is, the spectrum information of the light source 11 is known, and then the white balance response difference of the corresponding different channels is also known, so that the white balance gain value is fixed. Since the white balance gain value is fixed, the obtained value is accurate. Therefore, the influence of white balance processing on the image of the target object can be avoided, and the accuracy of the detection result can be better ensured.
Specifically, in response to the detected first operation, the processor 20 may control the light source 11 to be turned on, and acquire an image of the target object using the imaging module 12, and the processor 20 may also acquire pixel information of the image of the target object. The preset database can be preset to improve the skin detection speed and ensure the accuracy of the detection result. The preset database comprises a mapping relation between the calibrated pixel information and the calibrated skin state information under the preset spectrum information, so that the pixel information of the image of the target object can be utilized to be compared with the calibrated pixel information in the preset database, and the calibrated pixel information closest to the pixel information of the image of the target object is obtained. The calibration pixel information corresponds to calibration skin state information, so that the calibration skin state information corresponding to the pixel information of the image of the target object can be obtained to determine the skin state information.
In one embodiment, the skin state information includes skin tone information, which may correspond to a skin tone card. The image of the target object is acquired by the imaging module 12 and the processor 20 acquires pixel information of the image of the target object, the pixel information including color temperature information. The color temperature information can be used for comparing the calibrated pixel information in the preset database, the calibrated pixel information comprises the calibrated color temperature information, and the calibrated color temperature information closest to the color temperature information is selected. And determining the calibration skin state information corresponding to the closest calibration color temperature information as skin state information, wherein the skin state information comprises skin color information. That is, the corresponding skin color card can be found according to the closest calibration color temperature information, the skin color card can feed back the skin color information of the user, and the skin color information can feed back whether the current skin of the target object is healthy, in a dark state or not, and the like. Skin detection may thus be achieved. The skin detection speed can be improved by setting the preset database, and the accuracy of the detection result is ensured.
It should be noted that the skin state information includes, but is not limited to, skin color information, skin texture information, skin moisture information, skin pore information, and skin contour information, which are not limited herein. The pixel information includes, but is not limited to, color temperature information and luminance information, and is not limited herein.
Referring to fig. 6, in some embodiments, before acquiring the image of the target object, the method further includes:
041: determining a skin detection mode in response to the detected second operation, the skin detection mode including a macro mode, a face mode, or a fusion mode;
042: in the macro mode, acquiring an image of the target object comprises shooting the skin of the target object in a macro shooting mode, and acquiring a skin image of the target object;
043: in a face mode, acquiring an image of a target object comprises shooting a face of the target object, and acquiring a face image of the target object;
044: in the fusion mode, acquiring the image of the target object comprises shooting the skin of the target object and shooting the face of the target object in a macro shooting mode, and respectively acquiring the skin image and the face image of the target object.
In some embodiments, steps 041, 042, 043, and 044 may all be implemented by processor 20, that is, processor 20 may be configured to: determining a skin detection mode in response to the detected second operation, the skin detection mode including a macro mode, a face mode, or a fusion mode; in the macro mode, acquiring an image of the target object comprises shooting the skin of the target object in a macro shooting mode, and acquiring a skin image of the target object; in a face mode, acquiring an image of a target object comprises shooting a face of the target object, and acquiring a face image of the target object; in the fusion mode, acquiring the image of the target object comprises shooting the skin of the target object and shooting the face of the target object in a macro shooting mode, and respectively acquiring the skin image and the face image of the target object.
In particular, the processor 20 may select different skin detection modes based on user input. For example: the user may select different skin detection modes by means of virtual keys, physical keys, voice input, etc.
In one embodiment, the mobile terminal 100 may be a touch screen phone, and the user may tap on a virtual key on the screen of the phone to select skin detection in a macro photography manner. In the macro shooting mode, the imaging module 12 is in a macro shooting state, and the imaging module 12 can obtain a skin image as an image of a target object.
In another embodiment, the mobile terminal 100 may be a handset with keys, and the user may operate physical keys on the handset to select a face mode for skin detection. In the face mode, the imaging module 12 is in a normal shooting state, and the imaging module 12 can obtain a face image as an image of a target object.
In yet another embodiment, the mobile terminal 100 may be a mobile phone with skin detection software installed, and the user may turn on the skin detection software to select a fusion mode in the skin detection software for skin detection. The imaging module 12 may capture the skin of the target object in a macro shooting manner to obtain a skin image, and then enter a normal shooting manner to obtain a face image of the target object.
In yet another embodiment, the mobile terminal 100 may be a cell phone having an acousto-electric element that may be coupled to the processor 20. The processor 20 processes the voice signal received by the sonotrode to determine a skin detection mode selected by the user. For example: the user may say "skin detection in macro mode" as input information, which the processor 20 may receive via the acoustoelectric element. The imaging module 12 can shoot the skin of the target object in a macro shooting mode to obtain multiple frames of skin images.
Therefore, various detection modes can use various use scenes, various use requirements of target objects are met, and the use experience is improved.
It should be noted that the skin image is not identical to the face image. The skin image can be a macro image obtained by using a macro camera, so that the detailed information of the skin can be obtained more accurately. The face image may be obtained by using a conventional camera, or may be obtained by using a high-definition camera, an ultra-wide-angle camera, a tele camera, or the like, which is not limited herein.
Referring to fig. 7, in some embodiments, prior to the step of determining the skin detection mode in response to the detected second operation, the method further comprises:
051: determining a brightness value of ambient light;
step 041 specifically includes:
0411: and when the ambient light brightness is larger than the first preset brightness, determining that the skin detection mode is a macro mode.
In certain embodiments, both step 051 and step 0411 may be implemented by the processor 20, that is, the processor 20 may be configured to: determining a brightness value of ambient light; and when the ambient light brightness is larger than the first preset brightness, determining that the skin detection mode is a macro mode.
Specifically, the manner of selecting the macro mode to acquire the skin image includes two manners, one of which is that the user selects the macro mode to acquire the skin image according to his/her desire. Another way is for the processor to determine the brightness value of the ambient light, which in combination with the ambient light brightness suggests to the user to use the macro mode to acquire the skin image.
The processor 20 may determine a brightness value of the ambient light and suggest to the user to use the macro mode to acquire the skin image when the current ambient light level is greater than a first preset brightness. The first preset brightness may be set before leaving the factory, or may be set manually by a user through a user-defined manner, which is not limited herein.
In one embodiment, the first preset brightness includes 6500K and 100000Lux (i.e. the color temperature is 6500 kelvin and the illumination intensity is 100000 Lux), and when the current ambient light brightness is detected to be greater than 6500K and 100000Lux, the user is reminded to use the macro mode to acquire the skin image.
The mode of reminding the user to carry out the macro shooting can be that a text popup window of 'the current environment recommended to use the macro mode to carry out skin detection' is popped up through a display screen, or can be that an electroacoustic element is utilized to send out a sound reminding of 'the current environment recommended to use the macro mode to carry out skin detection', and the method is not limited.
Therefore, when the ambient light brightness is larger than the first preset brightness, the user is reminded to use the macro mode to conduct skin detection, so that a more accurate image of the target object can be obtained, and the accuracy of a detection result can be better ensured. In addition, the method can effectively avoid obtaining the image of the target object which does not meet the detection standard due to the influence of the ambient light, and can also avoid processing the image of the target object which does not meet the detection standard, thereby reducing the operation amount, improving the efficiency and reducing the power consumption.
In some embodiments, the imaging module 12 includes a lens 122, the light source 11 is disposed within the imaging module 12, and the light source 11 includes an annular surface light source disposed around the lens 122.
Specifically, the light source 11 is an annular surface light source, and the light source 11 is arranged in the imaging module 12, so that the light can be more uniform, and the imaging quality is improved. The annular surface light source surrounds the lens 12, so that the shooting assembly 10 is more compact in structure, space utilization rate is improved, and the shooting assembly 10 is smaller. In some procedures, the imaging module 12 may interfere with the user's skin when the skin of the target subject is photographed in macro photography. Therefore, the light source 11 is positioned in the imaging module 12 to ensure the uniformity of the light filling and avoid the interference of the ambient light.
Referring to fig. 8, in some embodiments, prior to the step of determining the skin detection mode in response to the detected second operation, the method further comprises:
052: determining a brightness value of ambient light;
step 041 specifically comprises:
0412: when the ambient light brightness is greater than the second preset brightness, the light source is turned off, the skin detection mode is determined to be a face mode, and a reference image of a target object in the face mode is acquired;
step 03, specifically comprising:
031: and determining skin state information according to the reference image of the target object, the preset spectrum information and the preset database.
In certain embodiments, steps 052, 0412, and 031 can all be implemented by processor 20, that is, processor 20 can be configured to: determining a brightness value of ambient light; when the ambient light brightness is greater than the second preset brightness, the light source is turned off, the skin detection mode is determined to be a face mode, and a reference image of a target object in the face mode is acquired; and determining skin state information according to the reference image of the target object, the preset spectrum information and the preset database.
Specifically, two ways of selecting a face mode to acquire a face image are included, wherein one way is that a user selects the face mode according to wish to acquire the face image. Another way is for the processor to determine the brightness value of the ambient light, in combination with the ambient light brightness, suggesting that the user use a face pattern to acquire a face image.
In some embodiments, when the ambient light level is greater than a second preset level, the light source is turned off and the skin detection mode is determined to be a face mode. The second preset brightness may be set before leaving the factory, or may be set manually by a user through a user-defined manner, which is not limited herein.
In one embodiment, the second preset brightness includes 4000K and 60000Lux (i.e. the color temperature is 4000 kelvin and the illumination intensity is 60000 Lux), and when the current ambient light brightness is detected to be greater than 4000K and 60000Lux, the light source 11 is turned off, the skin detection mode is determined to be a face mode, and the reference image of the target object and the image of the target object are obtained. In this way, the skin state information may be determined from the reference image of the target object, the preset spectral information, and the preset database.
Referring to fig. 9, in some embodiments, step 031 includes:
0311: processing a reference image of the target object according to a preset coefficient to obtain a processed reference image;
0312: subtracting the pixel value of the pixel corresponding to the processed reference image from the pixel value of each pixel of the image of the target object to obtain an object image;
0313: and determining skin state information according to the object image, the preset spectrum information and the preset database.
In certain embodiments, steps 0311, 0312 and 0313 may be implemented by processor 20, that is, processor 20 may be configured to: processing a reference image of the target object according to a preset coefficient to obtain a processed reference image; subtracting the pixel value of the pixel corresponding to the processed reference image from the pixel value of each pixel of the image of the target object to obtain an object image; and determining skin state information according to the object image, the preset spectrum information and the preset database.
Specifically, in the face mode, an image of the target object is obtained with the light source 11 and the ambient light source being irradiated together, and a reference image of the target object is obtained with the ambient light source being irradiated. The light source 11 and the ambient light source are uncorrelated, and the light source 11 is an illumination light source having known preset spectral information, so that after a reference image of a target object can be obtained, the reference image of the target object is processed according to preset coefficients to obtain a processed reference image; after the image of the target object is obtained, the pixel value of the processed reference image corresponding pixel is subtracted from the pixel value of each pixel of the image of the target object to obtain the target image. Finally, skin state information can be determined according to the object image, the preset spectrum information and the preset database. In this way, interference of ambient light can be removed.
It should be noted that, in the case that the user selects the skin detection mode, the processor 20 may suggest to the user to select the acquisition mode of the image of the target object according to the current ambient light level, for example: in the case that the sun in the outdoor sun in summer is strong, it may be recommended that the user acquire a skin image as an image of a target object using a macro mode, so that the single light source 11 can ensure the accuracy of the skin detection result. The user can be recommended to acquire the face image as the image of the target object by using the face mode in the black-painted room, so that the influence of ambient light can be avoided or ignored in a darker environment, and the accuracy of the skin detection result can be ensured.
Referring to fig. 10, in some embodiments, prior to the step of determining the skin detection mode in response to the detected second operation, the method further comprises:
06: circularly detecting whether a second operation of a user for entering a fusion mode is received or not;
step 041 specifically comprises:
0413: when a second operation of a user for entering a fusion mode is received, determining that the skin detection mode is the fusion mode;
the preset database comprises a first preset database and a second preset database, the first preset database comprises a mapping relation between first calibration pixel information and calibration skin detail information under preset spectrum information, the second preset database comprises a mapping relation between second calibration pixel information and calibration face information under preset spectrum information, and the step 03 specifically comprises the following steps:
032: determining skin detail information according to first pixel information, preset spectrum information and a first preset database of the skin image, wherein the skin detail information at least comprises skin moisture information;
033: determining face information according to second pixel information, preset spectrum information and a second preset database of the face image, wherein the face information at least comprises gender information;
034: and determining skin state information according to the skin detail information and the face information.
In certain embodiments, steps 06, 0413, 032, 033, and 034 may all be implemented by processor 20, that is, processor 20 may be configured to: circularly detecting whether a second operation of a user for entering a fusion mode is received or not; when a second operation of a user for entering a fusion mode is received, determining that the skin detection mode is the fusion mode; determining skin detail information according to first pixel information, preset spectrum information and a first preset database of the skin image, wherein the skin detail information at least comprises skin moisture information; determining face information according to second pixel information, preset spectrum information and a second preset database of the face image, wherein the face information at least comprises gender information; and determining skin state information according to the skin detail information and the face information.
Specifically, in the case of using the fusion shooting mode, a skin image and a face image, both of which are images of a target object, can be obtained.
In one embodiment, the mobile terminal 100 may include 2 imaging modules 12. The 2 imaging modules 12 may be disposed on the front and rear sides of the mobile terminal 100, respectively. The camera arranged on the front side of the mobile terminal 100 may be a high-definition camera, and the high-definition camera may acquire a face image; the camera provided at the back of the mobile terminal 100 may be a macro camera, which may acquire a skin image. Therefore, skin detail information can be finally obtained through the skin image, face information can be finally obtained through the face image, and skin state information can be obtained after the skin detail information and the face information are fused.
In another embodiment, the mobile terminal 100 may include 1 imaging module 12 with multiplexing function, the imaging module 12 is disposed on the back of the mobile terminal 100, and the imaging module 12 may switch the photographing mode. The imaging module 12 can be switched to a macro mode to acquire a skin image, and the imaging module 12 can also be switched to a conventional photographing mode to acquire the skin image, so that the imaging module 12 can multiplex, skin detail information can be acquired through the skin image, and the skin detail information at least comprises skin moisture information; face information, which includes at least gender information, may be obtained from the face image.
In some embodiments, acquiring the image of the target object includes acquiring an image of a plurality of frames of the target object, and selecting an image frame having a largest sharpness value among the plurality of frames of the image as the final image of the target object.
In particular, the skin image may comprise a plurality of identical or different sub-skin images. The face image may comprise multiple frames of identical or different sub-face images. The image frame with the largest definition value in the multi-frame image is selected as the final image of the target object, so that the success rate of skin detection can be improved, and the accuracy of skin detection can be enhanced.
In one embodiment, the imaging module 12 has a continuous shooting function, which is used to acquire multiple frames of different images. Thus, the sharpest image as the target object can be selected from multiple frames of different images, and processing of images conforming to the detection standard can be avoided. The multi-frame image can be combined to generate the image of the target object, so that the obtained image of the target object is more accurate, and the accuracy of the detection result is ensured.
In certain embodiments, prior to step 03, the method further comprises:
determining whether the image of the target object meets a preset first detection threshold, and outputting reminding information by the mobile terminal when the image of the target object does not meet the first detection threshold.
In some embodiments, the steps described above may be implemented by the processor 20, that is, the processor 20 may be configured to: determining whether the image of the target object meets a preset first detection threshold, and outputting reminding information by the mobile terminal when the image of the target object does not meet the first detection threshold.
Specifically, in the case where the image of the target object does not satisfy the first detection threshold, detection failure may be caused, which may reduce skin detection efficiency, wasting power consumption. In the case where the image of the target object does not satisfy the first detection threshold, the image of the target object may be regarded as not meeting the detection criterion. The image of the target object does not meet the first detection threshold typically because the image quality of the target object is not high. Reasons for the low image quality of the target object include: the user shakes his hand when taking an image, the user turns off the light source 11 by mistake when taking an image, the user accidentally shields a part of the lens when taking an image, and the like. It is therefore necessary to judge the quality of the image of the target object before the skin state information is acquired from the image of the target object. The method can avoid processing the image of the target object which does not accord with the standard, reduce the operation amount, improve the efficiency and reduce the power consumption. And reminding the user to re-shoot the image of the target object when the image of the target object does not meet the first detection threshold.
Referring to fig. 11, in some embodiments, the skin detection method further comprises:
07: and outputting a corresponding skin detection result according to the skin state information, wherein the skin detection result at least comprises a skin color brightness value.
In certain embodiments, step 07 may be implemented by processor 20, that is, processor 20 may be configured to: and outputting a corresponding skin detection result according to the skin state information, wherein the skin detection result at least comprises a skin color brightness value.
Specifically, skin detection results may be obtained from skin state information, including but not limited to skin color brightness values, skin moisture content, skin health scores, skin texture, skin age, skin problem descriptions, and the like. Thus, the user can grasp the skin state of the user in real time through skin detection, and the skin detection result is accurate and reliable.
In some embodiments, the skin detection algorithm may be run to obtain skin detection results after the skin state information is obtained. The skin detection algorithm may utilize data classification principles, including in particular: principal component analysis, genetic algorithm, pseudo-inverse method, etc., are not limited herein.
Referring to fig. 12, in some embodiments, the skin detection method further comprises:
08: a skin care regimen is generated based on the skin test results.
In some embodiments, step 08 may be implemented by processor 20, that is, processor 20 may be configured to: a skin care regimen is generated based on the skin test results.
Specifically, the skin care scheme is generated according to the skin detection result, the skin care scheme is high in referential property, and the use experience of a user can be improved.
Referring to fig. 13, in some embodiments, a user may perform macro shooting in a macro mode to obtain a skin image, and then detect whether the skin image meets a preset first detection threshold. If the skin image does not meet a preset first detection threshold value, reminding a user to shoot the skin image again; if the skin image meets a preset first detection threshold value, skin detail information is determined according to first pixel information, preset spectrum information and a first preset database of the skin image, and finally a corresponding skin detection result and a skin care scheme are output according to the skin detail information. Since the skin detection result is obtained from the skin image, the detailed information output from the skin detection result is more accurate, for example: skin moisture information, stratum corneum condition information and the like, and the detail information obtained by the user is more referenced.
Referring to fig. 14, in some embodiments, a user may acquire a face image through a face mode. Whether the image has a face or not can be detected first, and then whether the skin image meets a preset first detection threshold or not is detected, so that the detection efficiency can be improved. If the face image does not meet a preset first detection threshold value, reminding a user to shoot the face image again; if the face image meets a preset first detection threshold, face information is determined according to second pixel information, preset spectrum information and a second preset database of the face image, and finally a corresponding skin detection result and a corresponding skin care scheme are output according to the face information. Since the skin detection result is obtained from the face image, the skin detection result includes at least gender information. The human face information can be combined with the full face skin condition of the human face image to generate skin age information, skin texture information and the like, and the overall information obtained by a user is stronger in referential performance.
Referring to fig. 15, in some embodiments, a user may obtain skin detection results through a fusion mode. The user photographs the skin image and the face image, respectively, and the photographing order is not limited. And detecting whether the skin image and the human face image meet a preset first detection threshold value, generating skin detail information and human face information after the skin image and the human face image meet the preset first detection threshold value, and finally generating a skin detection result according to the skin detail information and the human face information. Therefore, the skin detection result comprises integration from the human face to the details, so that the sex, skin age, skin quality, skin color, skin water content information, stratum corneum condition and other information of the user can be obtained, accurate detection of the skin of the user is realized, and the use experience of the user is improved.
Referring to fig. 1, 2 and 16, in some embodiments, the mobile terminal 100 includes a color temperature sensor 30, and the color temperature sensor 30 may also output current skin color information. The skin state information may be combined with skin color information output from the color temperature sensor 30 to generate a skin detection result.
Specifically, the color temperature sensor 30 may be disposed near the imaging module 12, and the color temperature sensor 30 may include a plurality of photosensitive channels, and accuracy of measurement results of the color temperature sensor 30 may be improved by subdividing the resolution of the photosensitive channels. The light source 11 is a light source with known spectral information, and the measurement value of the color temperature sensor 30 can be obtained through calculation, so that accurate skin detection can be realized.
In the case that the imaging module 12 enters the face mode, the color temperature sensor 30 is turned on and outputs a color temperature measurement value, and a skin classification algorithm is performed on the color temperature measurement value to obtain a color temperature output value, and skin state information can be combined with the color temperature output value to generate a skin detection result. The skin state information can output skin color information, skin age, skin texture, blackhead, pores, and the like, and the color temperature sensor 30 can output skin color information. The information of the two can be fused to obtain accurate skin color information, so that accurate detection of the skin of the user is realized, and the use experience of the user is improved.
It should be noted that, in some embodiments, in the case that the mobile terminal 100 includes the color temperature sensor 30, the color temperature sensor 30 outputs skin color information, which is not limited herein.
Referring to fig. 3 and 17, the present application discloses a computer device 200, which includes a memory 220 and a processor 240. The memory 220 has stored therein computer readable instructions which, when executed by the processor 240, the processor 240 performs the skin detection method of any of the above-described embodiments of the present application. For example, computer readable instructions for performing the following skin detection method:
01: in response to the detected first operation, turning on the light source 11 to supplement light to the target object with preset spectrum information;
02: acquiring an image of a target object;
03: and determining skin state information according to pixel information of an image of the target object, preset spectrum information and a preset database, wherein the skin state information at least comprises skin color information, the pixel information at least comprises color temperature information, and the preset database comprises a mapping relation between calibrated pixel information and calibrated skin state information under the preset spectrum information.
Referring to fig. 3 and 18 together, the present application discloses a non-transitory computer-readable storage medium 300 containing computer-executable instructions that, when executed by one or more processors 20, the processor 20 performs the skin detection method of any of the above-described embodiments of the present application. For example, the mobile terminal 100 may be executed by the processor 20 to perform the following skin detection methods:
01: in response to the detected first operation, turning on the light source 11 to supplement light to the target object with preset spectrum information;
02: acquiring an image of a target object;
03: and determining skin state information according to pixel information of an image of the target object, preset spectrum information and a preset database, wherein the skin state information at least comprises skin color information, the pixel information at least comprises color temperature information, and the preset database comprises a mapping relation between calibrated pixel information and calibrated skin state information under the preset spectrum information.
As shown in fig. 18, the skin detection method of the embodiment of the present application may be implemented by the mobile terminal 100 of the embodiment of the present application. Note that the nonvolatile computer-readable storage medium 300 may be a storage medium built in the mobile terminal 100 or may be a storage medium that can be removably attached to the mobile terminal 100.
In the description of embodiments of the present application, the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more of the described features. In the description of the embodiments of the present application, the meaning of "a plurality" is two or more, unless explicitly defined otherwise.
In the description of the embodiments of the present application, it should be noted that, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically connected, electrically connected or can be communicated with each other; can be directly connected or indirectly connected through an intermediate medium, and can be communicated with the inside of two elements or the interaction relationship of the two elements. The specific meaning of the above terms in the embodiments of the present application may be understood by those of ordinary skill in the art according to the specific circumstances.
In the description of the present specification, reference to the terms "one embodiment," "some embodiments," "illustrative embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present application. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and further implementations are included within the scope of the preferred embodiment of the present application in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the embodiments of the present application.
Logic and/or steps represented in the flowcharts or otherwise described herein, e.g., a ordered listing of executable instructions for implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, system that includes a processing module, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). In addition, the computer readable medium may even be paper or other suitable medium on which the program is printed, as the program may be electronically captured, via, for instance, optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner, if necessary, and then stored in a computer memory.
It is to be understood that portions of embodiments of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.
Those of ordinary skill in the art will appreciate that all or a portion of the steps carried out in the method of the above-described embodiments may be implemented by a program to instruct related hardware, where the program may be stored in a computer readable storage medium, and where the program, when executed, includes one or a combination of the steps of the method embodiments.
Furthermore, each functional unit in the embodiments of the present application may be integrated in one processing module, or each unit may exist alone physically, or two or more units may be integrated in one module. The integrated modules may be implemented in hardware or in software functional modules. The integrated modules may also be stored in a computer readable storage medium if implemented in the form of software functional modules and sold or used as a stand-alone product.
The above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, or the like.
Although the embodiments of the present application have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the application, and that variations, modifications, alternatives and variations may be made to the embodiments described above by those of ordinary skill in the art within the scope of the application.
Claims (14)
1. A skin detection method applied to a mobile terminal, wherein the mobile terminal is provided with a light source and an imaging module, the skin detection method comprising:
responding to the detected first operation, starting the light source to supplement light to the target object according to preset spectrum information;
acquiring an image of the target object; and
Determining skin state information according to pixel information of the image of the target object, the preset spectrum information and a preset database, wherein the skin state information at least comprises skin color information, the pixel information at least comprises color temperature information, and the preset database comprises a mapping relation between calibrated pixel information and calibrated skin state information under the preset spectrum information.
2. The skin detection method according to claim 1, characterized by further comprising, before said acquiring the image of the target object:
Determining a skin detection mode in response to the detected second operation, the skin detection mode including a macro mode, a face mode, or a fusion mode;
in the macro mode, the step of acquiring the image of the target object comprises the step of shooting the skin of the target object in a macro shooting mode to acquire the skin image of the target object;
in the face mode, the step of acquiring the image of the target object comprises the step of shooting the face of the target object and acquiring the face image of the target object;
in the fusion mode, the acquiring the image of the target object comprises shooting the skin of the target object and shooting the face of the target object in a macro shooting mode, and respectively acquiring the skin image and the face image of the target object.
3. The skin detection method according to claim 2, wherein prior to the step of determining the skin detection mode in response to the detected second operation, the method further comprises:
determining a brightness value of ambient light;
the determining a skin detection mode in response to the detected second operation specifically includes:
and when the ambient light brightness is larger than the first preset brightness, determining that the skin detection mode is a macro mode.
4. The skin detection method according to claim 2, wherein prior to the step of determining the skin detection mode in response to the detected second operation, the method further comprises:
Determining a brightness value of ambient light;
the determining a skin detection mode in response to the detected second operation specifically includes:
when the ambient light brightness is greater than a second preset brightness, the light source is turned off, a skin detection mode is determined to be a face mode, and a reference image of the target object in the face mode is acquired;
the determining skin state information according to the pixel information of the image of the target object, the preset spectrum information and a preset database specifically includes:
and determining skin state information according to the reference image of the target object, the preset spectrum information and the preset database.
5. The method according to claim 4, wherein the determining skin state information according to the reference image of the target object, the preset spectral information and the preset database specifically comprises:
processing the reference image of the target object according to a preset coefficient to obtain a processed reference image;
subtracting the pixel value of the pixel corresponding to the processed reference image from the pixel value of each pixel of the image of the target object to obtain an object image;
And determining skin state information according to the object image, the preset spectrum information and the preset database.
6. The skin detection method according to claim 2, wherein prior to the step of determining the skin detection mode in response to the detected second operation, the method further comprises:
circularly detecting whether the second operation of the user for entering the fusion mode is received or not;
the determining a skin detection mode in response to the detected second operation specifically includes:
determining that the skin detection mode is the fusion mode when the second operation of the user for entering the fusion mode is received;
the preset database comprises a first preset database and a second preset database, the first preset database comprises a mapping relation between first calibration pixel information and calibration skin detail information under the preset spectrum information, the second preset database comprises a mapping relation between second calibration pixel information and calibration face information under the preset spectrum information, and the skin state information is determined according to the pixel information of the image of the target object, the preset spectrum information and the preset database, and the method specifically comprises the following steps:
Determining skin detail information according to the first pixel information, the preset spectrum information and the first preset database of the skin image, wherein the skin detail information at least comprises skin moisture information;
determining face information according to second pixel information of the face image, the preset spectrum information and the second preset database, wherein the face information at least comprises gender information;
and determining the skin state information according to the skin detail information and the face information.
7. The method according to claim 2, wherein the acquiring the image of the target object includes acquiring an image of a plurality of frames of the target object, and selecting an image frame having a largest sharpness value among the plurality of frames of the image as the final image of the target object.
8. The skin detection method according to claim 1, wherein before determining skin state information from pixel information of the image of the target object, the preset spectrum information, and a preset database, the method further comprises:
determining whether the image of the target object meets a preset first detection threshold, and outputting reminding information by the mobile terminal when the image of the target object does not meet the first detection threshold.
9. The skin detection method according to claim 1, wherein the method further comprises:
and outputting a corresponding skin detection result according to the skin state information, wherein the skin detection result at least comprises a skin color brightness value.
10. The skin detection method of claim 9, wherein the method further comprises:
and generating a skin care plan according to the skin detection result.
11. The mobile terminal is characterized by being provided with a light source, an imaging module and a processor, wherein the processor is used for responding to the detected first operation and starting the light source to supplement light for a target object according to preset spectrum information; acquiring an image of the target object; determining skin state information according to pixel information of the image of the target object, the preset spectrum information and a preset database, wherein the skin state information at least comprises skin color information, the pixel information at least comprises color temperature information, and the preset database comprises a mapping relation between calibrated pixel information and calibrated skin state information under the preset spectrum information.
12. The mobile terminal of claim 11, wherein the imaging module comprises a lens, the light source is disposed within the imaging module, and the light source comprises an annular surface light source disposed around the lens.
13. A computer device comprising a memory and a processor, the memory having stored therein computer readable instructions that, when executed by the processor, cause the processor to perform the skin detection method of any one of claims 1 to 10.
14. A non-transitory computer-readable storage medium containing computer-executable instructions that, when executed by one or more processors, cause the processors to perform the skin detection method of any one of claims 1 to 10.
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